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In this article you can find a exclusive AI glossary, a list of all artificial intelligence terms such as Machine Learning, data science, ImageNet, neural network, sentiment analysis, Turing test and more. The most completed list of Artificial Intelligence terms as a dictionary is here for you. Artificial intelligence is already all around us. As AI becomes increasingly prevalent in the workplace, it’s more important than ever to keep up with the newest words and use types. Leaders in the field of artificial intelligence are well aware that it is revolutionizing business. So, how much do you know about it? You’ll discover concise definitions for automation tools and phrases below. HERE’S A LIST OF ALL ARTIFICIAL INTELLIGENCE TERMS YOU NEED TO KNOW It’s no surprise that the world is moving ahead quickly thanks to artificial intelligence’s wonders. Technology has introduced new values and creativity to our personal and professional lives. While frightening at times, the rapid evolution has been complemented by artificial intelligence (AI) technology with new aspects. It has provided us with new phrases to add to our everyday vocab that we have never heard of before. Artificial Intelligence also gave new connotations to old words. The benefits of AI-assisted customer support for the current generation are self-evident: the technology is here to change people’s lives and will undoubtedly stay. ARTIFICIAL INTELLIGENCE GLOSSARY (2022) You’ve undoubtedly heard the phrases “data mining” and “machine learning,” but you’ve never been able to find a succinct definition for what you were reading. Now? You don’t have to go very far to find one. AI glossary: Artificial intelligence terms that you should know (2022) The following are brief definitions of Artificial intelligence terms. So let’s begin! ACCURACY This statistic indicates how successful your AI model is at predicting outcomes. The number of correct predictions is divided by the total number of predictions made. We talked about this topic in What Is Data Accuracy? (And How to Improve It). ADVERSARIAL MACHINE LEARNING Adversarial machine learning is a type of machine learning that seeks to toughen models through adversarial input. It seeks to make it easier for machine-learning methods in adversarial settings such as spam filtering, malware detection, and biometric identification. APPLICATION PROGRAMMING INTERFACE (API) Software developers may employ a collection of commands, procedures, protocols, and objects to build applications or communicate with an external system. ALGORITHM A pattern of procedures or instructions given to an AI, neural network, or other devices to assist them in learning on their own; classification, clustering, suggestion, and regression are four of the most common sorts. AI ETHICS The ethics of technology are explicitly concerned with artificially intelligent systems. Biases may significantly impact machine learning algorithms that are trained from data, ranging from gender to race to age to economic status and everything in between. WHAT ARE AI FRAMEWORKS? Artificial intelligence (AI) frameworks make it easier and faster to develop machine learning/deep learning, neural networks, and natural language processing (NLP) applications by providing ready-made solutions. The most popular open-source AI frameworks are TensorFlow, Theano, PyTorch, Sci-KitLearn, Keras, Microsoft Cognitive ToolKit, and Apache Mahout. It is one of the most searched Artificial Intelligence terms. ARTIFICIAL GENERAL INTELLIGENCE (AGI) AGI is a computational system that may execute any intellectual function that a human can. Also known as “Strong AI.” At the moment, AGI is just a concept. We talked about this more in The search for artificial general intelligence (AGI). ARTIFICIAL INTELLIGENCE (OR WEAK AI) A computer program that simulates aspects of human intelligence but focuses on a single, specific function. Narrow AI is also known as focused artificial intelligence (AI) in distinction to AGI. ARTIFICIAL NEURAL NETWORK Artificial intelligence and machine learning are based on the human brain’s neural network designs, particularly the brain. It is one of the most searched Artificial Intelligence terms. AUTONOMY Autonomy is a state of being free from external constraints. An autonomous machine or vehicle does not need human input to operate. BACKWARD CHAINING The reverse technique is in which machines work forward from the intended objective or output to see whether there is any evidence to support those aims or outputs. BACKPROPAGATION Backpropagation is a method of teaching neural networks based on a known, desired output for certain sample circumstances. BIAS Assumptions are added to the model to make learning easier. Most supervised machine learning algorithms work best with minimal bias since these assumptions might harm results. BIG DATA Big data is too large or complicated for general data processing applications to handle. It is one of the most searched Artificial intelligence terms. BOUNDING BOX The bounding box is drawn on visual information frequently used in image or video tagging. The box contents are labeled to assist the model in recognizing it as a distinct sort of thing. BRUTE FORCE SEARCH A query that is not limited by clustering/approximations; it explores all inputs. Typically more time-consuming and costly, but more thorough. CONVOLUTIONAL NEURAL NETWORK Convolutional neural networks are deep artificial neural networks used to classify pictures (e.g., identify what they see), group them by similarity (photo search), and recognize objects in scenes. CPU (CENTRAL PROCESSING UNIT) The electronic circuitry in a computer executes the commands of a computer program by executing basic arithmetic, logical, control, and I/O operations specified by the instructions. CUSTOM MODEL Artificial neural networks are a type of machine learning in which small inputs from a user, such as photographs or videos of their products, are converted into predicted concepts. CHATBOT A chatbot is a software application that imitates human-to-human conversation through text or voice commands. COGNITIVE COMPUTING Cognitive computing is often referred to as artificial intelligence, but it’s more accurately described as AI. It’s utilized by marketing teams to minimize AI’s mystique in some businesses. It is one of the most searched Artificial Intelligence terms. COMPUTATIONAL LEARNING THEORY The field of machine learning is concerned with creating and analyzing algorithms that learn. COMPUTER VISION A multidisciplinary scientific discipline that investigates how computers can be programmed to understand digital images or movies at a high level. It focuses on automating activities that the human visual system can perform. DATA ARCHITECT A data architect is a person who practices data architecture, a field of study concerned with designing, generating, deploying, and managing an organization’s data architecture. Data architects are frequently involved in AI initiatives. WHAT IS DATA MINING? Pattern discovery identifies trends in vast data collections to extract useful information from data mining. DATA SCIENCE This interdisciplinary subject, data science, which draws from statistics, computer science, and information science, seeks to apply various scientific approaches, methods, and systems to address data issues. DATA LAKE Because data is at the heart of every AI application or solution, gathering all of the data necessary to develop machine learning and inference models is critical. A data lake is a term used to describe the process of merging all of the information (both structured and unstructured) into a central repository. DATA MANAGER A data manager is a person who is responsible for lawfully obtaining the correct data type for training AI systems by working with data scientists. A data manager works with data architects to make sure that obtained information is correctly versioned and stored so that it may be analyzed and audited. A data manager must also ensure that the life cycle of the data is managed under legal and organizational standards while also ensuring that appropriate governance is provided over the collection, usage, and disposal of this information. DATA SCIENTIST A data scientist can be someone, a company, or an application that performs statistical analysis, data mining, and retrieval operations on a large amount of data to discover trends, figures, and other relevant information. DEEP LEARNING Deep learning is an artificial intelligence technique that mimics the human brain by learning from how data is structured rather than a pre-programmed algorithm. It is one of the most searched Artificial intelligence terms. DEEP NEURAL NETWORK The input and output layers of an artificial neural network (ANN) are separated by multiple intermediate layers. It uses sophisticated mathematical modeling to process data in complicated ways. EBERT TEST It was proposed by film critic Roger Ebert at the 2011 TED conference as a challenge for software developers to have a computerized voice master the inflections, delivery, timing, and intonations of speaking people. The exam is comparable to Turing’s test, which was created in 1950 to determine if a computer could exhibit intelligent behavior by producing a human performance. ECHO STATE NETWORK (ESN) A recurrent neural network is used with a sparsely connected hidden layer (with typically 1% connectivity). The hidden neurons’ connectivity and values are set and randomly assigned. Output neuron weights can be learned so that the network may (re)create specific temporal sequences. The focus of this network is that, while its behavior is non-linear, the only weights modified throughout training are those connecting hidden neurons to output neurons. As a result, the error function is quadratic and may be differentiated easily from a linear system. It is one of the most searched Artificial Intelligence terms. ENTITY ANNOTATION Labeling unstructured phrases with data so that a computer can comprehend them is known as information extraction. This might include labeling all persons, organizations, and locations in a document. ENTITY EXTRACTION An umbrella term that refers to the process of structuring data so that a computer may understand it. Humans or a machine learning algorithm may do entity extraction. F SCORE F Score is the average of recall and precision correct rates. FACIAL RECOGNITION Facial recognition is a computer program that can recognize or authenticate a person. One approach to do so is by comparing specific facial features in the picture with a face database. It is one of the most searched Artificial Intelligence terms. We have an interesting article called Hacking Tinder with Facial Recognition & NLP about this topic. FALSE NEGATIVES An incorrect prediction where a model mistakenly assumes an input does not have a required result when one actually exists. (Actual Yes, Predicted No) FALSE POSITIVES False-positive is an error in a model’s prediction of the presence of the desired result in input when it is not present (Actual No, Predicted Yes). FORWARD CHAINING A method in which a machine must go from an issue to solving it. The AI must evaluate many options to determine which hypotheses are relevant to the problem. GAME AI Game AI is a type of AI that uses an algorithm to replace randomness in video games. It’s a computational behavior used by non-player characters to generate humanlike intelligence and reactive behaviors taken by the player in games. It is one of the most searched Artificial intelligence terms. AI glossary: Artificial intelligence terms that you should know (2022) GENERATIVE ADVERSARIAL NETWORK (GAN) A machine learning approach in which two neural networks compete to create new data with the same statistics as the training set. GANs, for example, are utilized in fashion, art, and marketing, but they are also becoming increasingly popular among malicious attackers to spread false news. It is one of the most searched Artificial Intelligence terms. GENERAL AI General AI is artificial intelligence (AI) that can successfully complete any intellectual activity that a human may. The term “General AI” is sometimes used interchangeably with “strong AI,” although they aren’t precisely the same thing. GENETIC ALGORITHM A genetic algorithm, or GA, is a method based on genetics that is used to solve challenging issues in an efficient and timely manner. HYPERPARAMETER Though the words “hyperparameter” and “parameter” are sometimes used interchangeably, they have distinct meanings. Hyperparameters are parameters that impact how your model learns. They’re usually set manually outside of the model. It is one of the most searched Artificial Intelligence terms. IMAGE RECOGNITION Image recognition is the capacity of software to recognize things, places, people, text, and activities in photographs. IMAGE SEGMENTATION Image segmentation is the process of dividing a digital image into several parts/fragments to make the representation of an image simpler to analyze. Segmentation separates whole images into pixel categories, which may be labeled and classified. Segmentation is the act of putting a bounding box around the target object in a picture and drawing a pixel-by-pixel outline of that object, leaving the background intact. IMAGENET An extensive visual database that is intended to be used in computer vision software development. ImageNet has hand-annotated over 14 million URLs of images to reveal what objects are shown. Bounding boxes are also provided in at least one million of the pictures. It is one of the most searched Artificial intelligence terms. IMAGENET CHALLENGE The first phase of the competition is a research project. Teams evaluate their algorithms on the supplied data set and compete to achieve higher accuracy on several visual recognition problems. JUNCTION TREE ALGORITHM In machine learning, a technique for extracting marginalization in general graphs. In other words, it entails performing belief propagation on a modified graph known as a junction tree. Because the graph divides into several parts of data and variable nodes are the branches, it is referred to as a tree. KNOWLEDGE-BASED SYSTEM (KBS) A knowledge-based system is an application that utilizes a knowledge base to tackle complex issues. The phrase is broad and refers to a variety of systems. The one common element that all knowledge-based systems have in common is the desire to express knowledge explicitly and a reasoning mechanism that enables it to generate new information. As a result, a knowledge-based system has two characteristics: a knowledge base and an inference engine. It is one of the most searched Artificial Intelligence terms. LOGIC PROGRAMMING A programming paradigm that is primarily based on formal logic. A set of statements in logical form, expressing facts and rules about a problem domain, is any program written in a logic programming language. Answer set programming (ASP), also known as solution-oriented programming (SOP), and Datalog are examples of significant logic programming languages. MACHINE INTELLIGENCE Machine intelligence is an umbrella term for machine learning, deep learning, and conventional algorithms. MACHINE LEARNING Robots are still in the early days of AI, but it is a field that is moving forward quickly. Machine learning refers to the ability of computers to learn without being explicitly programmed. Computers “learn” via patterns they detect and adapt their behavior as a result. It is one of the most searched Artificial Intelligence terms. On the other hand, machine learning engineering is a great career opportunity nowadays. MACHINE PERCEPTION The capacity for a system to acquire and comprehend information from the environment in the same manner that humans do with their senses. MACHINE TRANSLATION In a nutshell, Machine translation is the application of NLP to language translation (human-to-human) in text and speech-based conversations. MLOPS Taking a cutting-edge machine learning model into production web infrastructure is known as MLops or machine learning operations. Machine learning models are developed and tested in experimental environments. When an algorithm is deemed fit for widespread usage, data scientists, DevOps, and machine learning experts collaborate to move it to production systems through MLOps. MISCLASSIFICATION RATE A model’s accuracy is measured by how frequently its predictions are incorrect. NEURAL NETWORK A neural network is a computer system that functions as the brain of a human. Although researchers are still attempting to construct a computer model of the human brain, current neural networks can already accomplish many things regarding speech, vision, and board game strategy. It is one of the most searched Artificial Intelligence terms. If you’d like to learn more about this topic, check out article: The History of Neural Networks. NATURAL LANGUAGE GENERATION (NLG) Natural language generation (NLG) converts structured data into text or voice that humans can comprehend. NLG is concerned with what a machine writes or says as the conclusion of the communication process. NATURAL LANGUAGE PROCESSING (NLP) Natural language processing (NLP) is the capacity of computers to comprehend or extract meaning from natural human languages. NLP generally entails computer interpretation of text or speech recognition. NATURAL LANGUAGE UNDERSTANDING (NLU) Natural language understanding, as a part of natural language processing, aims to assist machines in understanding the intended meaning of language — taking into account its subtleties and grammatical mistakes. OPTICAL CHARACTER RECOGNITION (OCR) The process of converting text images (typed, handwritten, or printed) either electronically or manually into machine-encoded text is called OCR. OVERFITTING Overfitting is a term frequently used in AI. Overfitting is a sign of machine learning training in which the algorithm can only work on or identify specific examples from the training data. A functioning model should be able to generalize patterns seen in the data to tackle new instances. It is one of the most searched Artificial intelligence terms. PATTERN RECOGNITION The difference between pattern recognition and machine learning is sometimes blurred, but the goal of this discipline is to discover patterns and trends in data. PRESCRIPTIVE ANALYTICS Prescriptive analytics is a form of data analysis that uses technology to assist organizations in making better judgments by analyzing unprocessed data. Prescriptive analytics involves the analysis of factors such as possible situations or scenarios, accessible resources, past performance, and present performance. It offers recommendations for action or strategy on a time frame ranging from immediate to long-term. Businesses may use it to make decisions on any time scale, from immediate to long-term. PREDICTIVE ANALYTICS This type of analytics is designed to forecast what will happen in a specified time frame based on previous data and patterns. We prepared article about preventing bias in Predictive Analytics before. You might want to check that out. POSITIVE PREDICTIVE VALUE (PPV) The PPV is similar to precision, but it considers prevalence. The positive predictive value is equivalent to precision when the classes are perfectly balanced (the prevalence is 50%). PRUNING Pruning is the practice of limiting undesirable answers to a problem in an AI system using a search algorithm. The number of alternatives available to the AI system is reduced. QUANTUM COMPUTING Quantum computing is applied to compute using quantum-mechanical phenomena such as superposition and entanglement. This calculation may be done theoretically or in reality, and a quantum computer is used to perform it. It is one of the most searched Artificial intelligence terms. You can also learn about quantum machine learning in this article. RECURRENT NEURAL NETWORK (RNN) A recurrent neural network (RNN) is a sort of neural network that understands sequential data and patterns, generates outputs resulting from those computations, and learns. RECOMMENDATION ENGINES A recommendation system (sometimes also known as a recommendation engine) is a form of information filtering that aims to determine the “rating” or “preference” that a user would give an item. REINFORCEMENT LEARNING Reinforcement learning is a type of machine learning that involves an algorithm that learns by interacting with its surroundings and is then penalized or rewarded depending on how it acts. ROBOTIC PROCESS AUTOMATION (RPA) AI-powered automation software such as RPA helps automate dull, time-consuming activities that people might have previously done. You can read our article about how RPA is getting advanced in The age of hyperautomation: Automate everything possible. AI glossary: Artificial intelligence terms that you should know (2022) ROC (RECEIVER OPERATING CHARACTERISTIC) CURVE ROC Curve is a typical graph that summarizes the performance of a classifier over all possible levels. It’s made by plotting the True Positive Rate against the False Positive Rate as you change the threshold for putting observations into different categories on the y-axis. SEMANTIC ANNOTATION A form of semantically based indexation is the labeling of distinct search queries or items to enhance a search engine’s relevance. SEARCH QUERY A request is submitted to a search engine by a user to fulfill their information needs. A “visual search query” is defined as the result of a query comprised entirely of visual content. SENTIMENT ANALYSIS The study of the viewpoints and opinions within a piece of text is generally to determine the writer’s attitude toward something. It is one of the most searched Artificial intelligence terms. STANDARD CLASSIFICATION A “Standard Classification” concept is to categorize an input into one of a predetermined number of categories. This is sometimes accomplished in machine learning by learning a function that maps an input to a score for each potential category. STRUCTURED DATA The term “structured data” refers to any information that is generated, collected, and analyzed in a linear, tabular, organized way. Business data produced within companies using standard applications would be an example of structured data. STRONG AI The main objective of AI technology is to produce systems that are as intelligent and skilled as the human mind. It is one of the most searched Artificial intelligence terms. SUPERVISED LEARNING Supervised Machine Learning is a type of machine learning in which output data train the machine to produce the correct algorithms, such as a teacher guiding a student. It’s more prevalent than unsupervised learning. SWARM BEHAVIOR From the perspective of the mathematical modeler, it is an emergent behavior based on basic rules that people follow without any central coordination. TEST DATA The uncategorized data demonstrates that a machine learning model can complete its designated function. TENSORFLOW TensorFlow is an open-source machine learning library that’s used for various purposes, including neural networks. It was released under the Apache 2.0 open source license in 2015 and is utilized for research and production at Google. It is one of the most searched Artificial intelligence terms. TRAINING DATA The term “training data” refers to all of the data used throughout training a machine learning algorithm and the particular dataset utilized to train rather than test. TRANSFER LEARNING Transfer learning is a technique that combines existing knowledge with novel data and uses it to tackle new activities. TURING TEST The Turing test assesses the capacity of a machine to mimic human behavior. The evaluation consists of a real-world conversation between a person and another individual and a computer, in which the participants are assessed on their understanding. It is one of the most searched Artificial intelligence terms. Do you want to know which AI has come closest to passing the Turing test? UNSTRUCTURED DATA The term “unstructured data” refers to data that may have multiple sources, such as online digital files, text documents, SMS messages, video clips, photos, voices, sensors, pings, etc. The majority of the data created today is unstructured data, which is one of the keys to AI’s growth. UNSUPERVISED LEARNING Unsupervised learning is a form of machine learning technique that concludes datasets with unannotated data. Cluster analysis is the most frequent type of unsupervised learning. You can also read about what’s The Difference Between Supervised and Unsupervised Learning. VALIDATION DATA This data is structured similarly to training data, with input and labels, and it’s used to evaluate a recently trained model against new data and assess performance, with a particular emphasis on detecting overfitting. VARIANCE The degree to which a machine learning model’s intended purpose varies as it is being educated. Despite their flexibility, models with considerable variance are vulnerable to overfitting and low predictive success since they are dependent on their training data. VARIATION Queries, also known as sentences or utterances, are artificial language processing that works in tandem with intents. The distinction is what someone might say to achieve a specific aim or goal. For example, if the aim is “pay by credit card,” the variation maybe “I’d want to pay by credit card, please.” VALIDATION DATA SET Validation Data Set is a sample of data used to evaluate the accuracy of a model fitted on the training set while tuning model hyperparameters. As skill on the validation dataset is incorporated into the model configuration, the evaluation becomes more biased. VISION PROCESSING UNIT (VPU) It’s a new type of microprocessor and an AI accelerator created to speed up machine vision activities. VISUAL RECOGNITION Visual Recognition is the capacity of computer software to recognize items, locations, people, text, and activities in photographs and videos. WEAK AI The term “weak AI” refers to a non-sentient computer system that operates under set parameters and focuses on a single activity or a small number of activities. Weak AI is the most prevalent sort of AI currently in use. It is one of the most searched Artificial intelligence terms. WEB CRAWLER (SPIDER) An automated Web surfer goes from one site to another, usually seeking to index the Internet for a search engine. WEB SCRAPER A bot or web crawler is used to automate operations. It’s a type of replication in which data from the Internet is collected and copied into a central local database or spreadsheet for future retrieval or analysis.
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Sources revealed that “Russian mercenaries suddenly became very hostile after they returned from a military mission in the Vakaga prefecture where they carried out a massacre of civilians.” A soldier of the Central African Republic national army, FACA, who acted as an interpreter for the Russian mercenaries in the country, has been killed. The soldier, identified as Igor, was killed on Saturday, April 16, in the northeast military district of Ndele in Bamingui-Bangoran, about 654 km to the north of the capital Bangui. Circumstances around his death were not immediately clear but his colleagues who said they were shocked by the news said the soldier was executed in the camp of Russian mercenaries of the Wagner Security Group. According to the accounts of some FACA soldiers, they revealed that Russian mercenaries suddenly became very hostile after they returned from a military mission in the Vakaga prefecture where they carried out a massacre of civilians. “They seemed at the edge of their nerves. They were in complete disagreement with Igor, their interpreter. On Saturday morning, they came and spoke to Igor in front of the FACA military base and then a few minutes afterwards, they called him to their base where they cold-bloodedly executed him for no reason,” a soldier colleague of Igor who opted for anonymity for fear of reprisals from the Russians revealed. “Igor was not wounded during fighting. Meanwhile, during our operation in Vakaga, we did not confront armed groups thus he was not wounded in the theatre of operations but he was cold-bloodedly killed by his ‘Russian friends’ after a short discussion in their base,” another FACA soldier said. The general opinion among the local population in Ndele is that Igor was executed by the Russians because he knew and witnessed so many of their atrocities and may have been invited to testify at a recently-constituted investigation panel. “Igor has been working with them for the past six months. He had full knowledge of their criminal secrets because he very well understood their language. To me, I think they killed him in order to silence him,” another FACA soldier declared. His corpse has been taken to Bangui by air and is waiting to be buried by his family which is still waiting for explanations from the government as to the reason for his murder. Support Our Journalism There are millions of ordinary people affected by conflict in Africa whose stories are missing in the mainstream media. HumAngle is determined to tell those challenging and under-reported stories, hoping that the people impacted by these conflicts will find the safety and security they deserve.
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TOKYO A Japanese firm has donated 1,000 pocket interpreter devices to the Ukrainian Embassy in Japan to ease the language difficulties many refugees face starting new lives in the country. The initiative to provide the Pocketalk handhelds came from Tokyo-based Pocketalk Corp. "Our mission is to eliminate language barriers. I hope they can help refugees," its president, Noriyuki Matsuda, said. Pocketalk is a small, smartphone-like handheld that offers easy translation functionality. Users simply push a button while speaking, and the device translates what they have said into a chosen target language and displays it on the screen. It can also play a recording of the phrase. The device is compatible with 70 languages, including Ukrainian, and can also process 12 other languages for which it lacks voice output functionality. Total units shipped worldwide have topped 900,000 since Pocketalk's release in 2017. During his 2019 visit to Japan, Ukrainian President Volodymyr Zelenskyy attended a lunch meeting hosted by the Japan Association of New Economy, in which Matsuda participated as one of its directors. With that connection, Matsuda thought about what he could do to help soon after the invasion began. On March 14, he donated 1,000 of the interpreting devices to the Embassy of Ukraine in Tokyo. An embassy official said they are distributing one to each refugee family, with around 100 already given out directly or by mail. "Most of the refugees don't understand Japanese. They were thankful," the official said. "We've always worked to ensure the product can be used with as many languages as possible. It's good it can support Ukrainian, too," said Matsuda. The firm has also distributed more than 300 Pocketalk devices to evacuees in a Polish town near the Ukrainian border. According to the company, instances of users choosing to translate from Ukrainian to other languages were up five times in late March than in mid-January before the invasion, with usage by evacuees a likely factor. Currently, Japan has over 500 refugees from Ukraine, and their numbers could increase. Regarding how he hopes the products might be used, Matsuda said, "I'm sure they'll have many chances to help in tasks like administrative processes at local government offices or opening a bank account. I hope they might help them get to know Japanese people, too, and, in some small way, ease the loneliness of being separated from their homeland." © KYODO
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Pour rendre le Coran accessible au plus grand nombre, il faut le traduire dans les langues des croyants. C'est déjà le cas au Sénégal et désormais aussi en Guinée. En ce mois de Ramadan, c'est le dossier du matin. Le texte sacré de l’Islam est désormais disponible en langue pulaar, encore appelée fulfulde. C'est un projet mené par l'association Islam House (basée en Arabie saoudite) et par le Centre guinéen d'études et de traduction (basé à Conakry). Les traductions du Coran en pulaar sont très rares et peu accessibles. Cette nouvelle version vient enrichir le site officiel de l'Encyclopédie du Coran (www.islamhouse.com) qui à ce jour, est traduite dans 23 langues, dont le Haoussa et le Kiswahili. En traduisant le Coran en pulaar-fulfulde, ce sont près de 60 millions de locuteurs dans le monde qui sont visés. Il a fallu quatre ans de travail et de vérifications pour traduire les 114 sourates du Coran en pulaar. Un travail délicat, pour coller au plus près de l'esprit du livre saint, tout en adoptant un niveau standard de langue compréhensible par tous et toutes, comme l'explique à Bineta Diagne, de la rédaction Afrique, Mamadou Tafsir Baldé, le directeur du centre Guinéen d'études et de traduction, porteur de ce projet : « Dans la traduction de sens du Coran, il y a toujours des terminologies qui sont parfois conformes, d’autres qui sont différentes. Nous avons une traduction selon un caractère du pulaar standardisé pour avoir une traduction accessible à tous les (locuteurs de) pulaar. » Ce projet est mis en ligne en ce tout début de ramadan, pour répondre à l'intérêt des fidèles en quêtes informations sur la Révélation du Coran. Mamadou Tafsir Baldé : « Parmi les versets les plus consultés pendant ce mois du ramadan, les versets de la sourate numéro deux "al-baqarah". Elle parle de la révélation du Coran dans le mois du ramadan. Elle explique comment nous pouvons jeûner. Ce sont les les concepts du ramadan... Le ramadan aussi, c’est un moment de la lecture du saint Coran. Il y a des gens qui lisent tout le Coran pendant le ramadan. » Le projet n'est pas totalement achevé : l'association Islam House compte se lancer dans la traduction des Hadith, les paroles du Prophète. Par ailleurs, une version papier du Coran en pulaar devrait bientôt être disponible. NewsletterRecevez toute l'actualité internationale directement dans votre boite mail Je m'abonne Au Sénégal, pays très majoritairement musulman, mais où l’arabe est peu parlé, il existe déjà une tradition d’enseignement du Coran dans les langues nationales À l’IFAN, l’Institut fondamental d’Afrique noire de l’université Cheikh Anta Diop, on trouve un manuscrit rare, non daté et non signé : « Donc, le texte sacré est là... En bas et haut, il y a l’explication en langue pulaar. » Djim Ousmane Dramé est directeur du laboratoire d’islamologie. Il a notamment étudié les méthodes d’enseignement dans les « daaras » traditionnels - les écoles coraniques : « Tout le monde enseigne le texte coranique en arabe, mais quant à l’explication du sens du livre saint, chacun est libre de le faire selon sa langue maternelle. Wolof, mandingue, pulaar, … L’objectif principal, c’est que l’enfant, l’apprenant, comprenne le sens de la sourate qu’il récite quand il prie. » Un travail essentiellement verbal, explique le chercheur à Charlotte Idrac, notre correspondante à Dakar : « Rares sont les marabouts qui ont traduit le Coran par écrit, dans nos langues nationales. J’ai fait des recherches concernant la langue nationale sereer, je n’ai pas trouvé. Concernant la langue nationale mandingue, je n’ai pas trouvé. Il y a certain qui faisait ce qu’on appelle en Wolof ‘Yan’, c’est-à-dire le mot est là en langue arabe. Il manque juste en haut l’explication en wolof, ou bien en pulaar, ce serait une explication mot à mot. » Une démarche de traduction à encourager selon l’islamologue pour vulgariser les enseignements du Coran, et dans le même temps préserver les langues nationales.
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L’emprunt de mots anglais en français ne date pas d’hier, rappelle la linguiste Henriette Walter. Mais ce qui gêne cette grande polyglotte, c’est le mauvais usage que l’on en fait. Henriette Walter, linguiste, photographiée à son domicile à Paris. | YANN CASTANIER Ouest-FrancePropos recueillis par Claire THÉVENOUX.Publié le 03/04/2022 à 12h00 Française de Tunisie, née à Sfax de parents franco-italiens, Henriette Walter est l’une des spécialistes internationales de la phonologie (science de l’organisation des sons au sein d’une langue). Parlant couramment six langues, passionnée et grande pédagogue, cette linguiste populaire, selon l’historien Pascal Ory, s’est intéressée autant au vocabulaire de la cuisine ou des mammifères qu’au latin au XXIe siècle. À 93 ans, Henriette Walter n’a de cesse de décortiquer nos façons de parler. Vulgarisatrice humble et brillante, elle en a fait de nombreux livres, du Dictionnaire de la prononciation française dans son usage réel, écrit en 1973 en collaboration avec son mentor André Martinet, à Langues d’ici et d’ailleurs, publié fin 2021 (chez Bouquins, 1 184 pages, 30 €) et qui regroupe trois de ses ouvrages majeurs (L’aventure des langues en Occident, Honni soit qui mal y pense et Arabesques). Professeure d’anglais pendant huit ans, puis chargée d’un séminaire à l’École des hautes études, à Paris, elle a également enseigné, pendant plus de vingt ans à l’université de Rennes-2, l’histoire du gallo et les techniques d’enquête linguistique. Nous l’avons interrogée sur un thème qu’elle affectionne : les emprunts de mots entre l’anglais et le français et le développement du franglais en France. L’Académie française estime que l’anglais envahit de plus en plus le français. On aurait même atteint « un point critique », sous l’effet d’Internet et de la publicité. Partagez-vous cet avis ? Ce n’est pas nouveau, mais il y a une accélération. Pourquoi employer, alors qu’on a le mot français qui convient, un mot anglais dont on ne connaît pas bien le sens exact ? Cela trouble la communication. Ce qui est mauvais n’est pas d’emprunter à une langue étrangère, mais c’est de ne pas vraiment dire ce qu’on veut dire… Selon vous, une langue sert d’abord à se faire comprendre ? Oui, d’abord à comprendre, et à se faire comprendre. Par exemple, brushing, mot anglais employé très facilement en français, ne sera pas compris chez le coiffeur en Angleterre car nous l’avons complètement détourné de son sens. Le mot brushing est pourtant bien compris… En France, oui ! Un brushing, c’est un brossage avec un séchage et une mise en forme, trois choses différentes que ne décrit pas le mot français « brossage ». Il fait partie de ces mots en « ing » facilement repérables. Comme parking… Il est plus ancien. Lorsqu’il est apparu – on le prononçait n’importe comment, d’ailleurs – ça faisait exotique et jeune. De nos jours, ceux qui utilisent des mots anglais en français veulent montrer qu’ils sont modernes, au courant des dernières nouveautés. Quand le recours au franglais s’est-il accéléré ? Depuis les années 1970, mais ça a été progressif. Maintenant, on le ressent davantage car les communications sont plus faciles : on a Internet et plusieurs moyens d’entendre des nouveautés. Le globish, ce jargon anglais simplifié parlé entre des locuteurs de différents pays, semble se répandre. Nos élites en sont-elles en partie responsables ? Attention, il faut distinguer les gens qui savent bien parler l’anglais, comme Emmanuel Macron, et ceux qui ne le savent pas très bien (rires). Il est temps d’améliorer la connaissance de l’anglais chez ceux qui croient le savoir, mais ne le savent pas vraiment. Pourtant, l’anglais c’est facile, non ? En anglais, contrairement au français avec ses règles strictes, il...
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Selon la Banque Mondiale, 80% des élèves de l’Afrique subsaharienne sont instruits dans une langue qu’ils ne comprennent pas. La proportion est encore plus élevée au Moyen-Orient et en Afrique du Nord (87%), tombe à 6% en Amérique latine et Caraïbe et remonte à 37% en Asie du Sud-Est. Comment améliorer le capital humain basé sur l’éducation si plus de 8 africains sur 10 sont en pauvreté d’apprentissage ? Le recours aux langues que les enfants utilisent à la maison et comprennent est recommandé par la Banque Mondiale....
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Read more about Same language subtitling as a driver of literacy on Business Standard. The BIRD initiative aims to ensure daily and lifelong reading practice for a billion people in India, with a strong focus on reaching girls and women
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April 5, 2022 6:00 pm - 8:00 pm Zoom Online by Instructor : Young Joe Certified Medical Interpreter, Language Justice Strategist https://www.linkedin.com/in/young-joe/ Bio: Young Joe is a professional interpreter and a passionate advocate of the professionalization of community and health care interpreting and language access for people with limited English proficiency. Before she became the first certified medical interpreter in Canada in 2016, she earned her master’s degrees in translation and interpreting and in international relations from Macquarie University in Sydney, Australia, in 2008. An enthusiastic interpreting trainer, Joe teaches interpreting skills at Simon Fraser University and at the Interpreter’s Lab in English to students with all language combinations. She has also taught interpreting and translation at UBC and Vancouver Community College and developed their curriculum. Webinar Content: Health Care Systems In Canada Specialities In Medicine Medical Terminology Medical Interpreters’ Code of Ethics How to Become a Certified Medical Interpreter Non Member Cost: $40 ATIA Members – You must be logged in to receive $10 discount at the payment cart *** Zoom Invites will be sent to registrants one day before event. Ticket Type Price Cart Introduction to Medical Interpreting $40 Add to Cart
Pan South African Language Board (PanSALB) Internship 2022 for South Africans Deadline: 15 April 2022 Pan South African Language Board (PanSALB) Internship 2022 for South Africans Pan South African Language Board (PanSALB) seeks to appoint results-driven, assertive and dedicated individuals to fill the following positions. The Pan South African Language Board invites graduates who seek practical work experience and unemployed graduates who are interested in a public service career to apply for internship (an occupationally based work experience opportunity) in the occupations mentioned below for a minimum of twelve months. The Pan South African Language Board (PanSALB) is a statutory body established in terms of Act 59 of 1995 (as amended) for, inter alia, the creation of conditions for the development and for the promotion of equal use and enjoyment of all the official South African languages. Location: Pretoria, Arcadia; Duration: Twelve (12) months Stipend: R6,174.96 per month for relevant National Diploma Qualification R9,378.33 per month for the relevant Degree Qualification/ Honours R11,148.81 per month for the relevant to Masters Qualifications R13,915.12 per month for the Doctorate Qualifications How To Apply – Pan South African Language Board (PanSALB) Internship 2022 for South Africans The applicants must not have been exposed to work experience in their area of study or have participated in an internship programme in a government department or institutions. PanSALB aims to enhance the employability of unemployed graduates as potential employees through this internship programme. Application must be directed to: applications@pansalb.org Applications must be submitted on a signed and dated PanSALB Application Z83 Form (obtainable from our website, CLICK HERE TO VIEW AND FILL APPLICATION DOCUMENTS PanSALB social media pages. The Z83 form must be accompanied by a comprehensive CV, supported by certified copies of educational certificates and Identity Document. Applications with foreign qualifications must submit a SAQA evaluation report on the qualification. Incomplete application will not be considered. Failure to comply with the above requirements will result in the disqualification of the application applications. If you have not been contacted 1 month of the closing date, kindly deem your application unsuccessfully. Correspondence will only be entered into with short-listed candidates.
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Cette start-up, qui a longtemps été autofinancée, lève 45 millions d'euros auprès de Partech. Elle a développé un outil qui aide les entreprises à traduire leurs contenus afin d'élargir leur audience.
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The Dakar Translation Symposium: Africa and her Diasporas / La traduction : l’Afrique et ses diasporas Le 31 Mars 2022 Universite Cheikh Anta Diop de Dakar (english version below) Colloque de Dakar
Appel à communications
La traduction : l’Afrique et ses diasporas Institute for the Study of Global Racial Justice Rutgers, The State University of New Jersey Université Cheikh Anta Diop de Dakar au Sénégal (UCAD) Université Assane Seck de Ziguinchor au Sénégal (UASZ) Dans l’espoir d’explorer et de maintenir un dialogue transatlantique, le Colloque de Dakar sur « La traduction : l’Afrique et ses diasporas », qui se tiendra du 12 au 20 juin 2022, réunira des intervenants et des participants venus d’Afrique et des diasporas noires. Le symposium vise à instaurer la collaboration entre trois institutions : Rutgers University, l’Université Assane Seck de Ziguinchor et l'Université Cheikh Anta Diop de Dakar où aura lieu le symposium. Ledit symposium servira de plateforme de sensibilisation et de collecte de fonds pour soutenir la mise en place d'un Centre de Traduction, de Littérature et d’Écriture à l’Université Assane Seck de Ziguinchor, située en Casamance au sud du Sénégal, un carrefour de langues où se croisent l’anglais, le portugais et le français avec une demi-douzaine de langues locales, en plus du créole qui en résulte. Les langues de travail du symposium sont l’anglais, le français et le wolof.
Thèmes du colloque :
Pour participer au Colloque de Dakar sur « La traduction : l’Afrique et ses diasporas », les participants sont invités à soumettre des résumés portant, entre autres, sur les thèmes suivants :
¨ Contre-récits et traduction de l’histoire
¨ Langage (diasporique) du hip-hop
¨ Projet de 1619 et naissance de la modernité
¨ Atlantique noire et poésie
¨ Black Lives Matter et au-delà de la négritude
¨ Créolisation et créolité
¨ Créolisation et mondialisation culturelle
¨ Créolisation et diasporas
¨ Récupération des systèmes de connaissances endogènes africaines
¨ Superdiversité et complexités des nouveaux flux migratoires
¨ Continuité et changements culturels et linguistiques
¨ Ethnicité, classe, genre et diversité en Afrique et dans les diasporas
¨ Perspective culturelle globale : l'Afrique et les diasporas vues de l'intérieur et de l'extérieur
¨ Configurations postcoloniales Nord/Sud, Ouest/Est, Premier Monde/Deuxième Monde/Tiers Monde
¨ Nouveaux médias et technologies de communication, formes et pratiques culturelles nouvelles et hybrides et économies mondialisées en Afrique et dans les diasporas ¨ Hégémonie, politique et économie en Afrique et dans les diasporas
¨ Terrorisme et nouveaux défis de sécurité et de paix en Afrique et dans les diasporas
¨ Centralité, marginalité et conditions humaines
¨ Postcolonialité et euro-américanisme dans la politique, l'économie et la culture mondiale
¨ Géopolitique et postcolonialité⁄décolonialité : refaçonner la coopération Nord-Sud
¨ Refaçonner les relations Afrique-diasporas
¨ (Post)colonialité, (re)construction culturelle et civilisationnelle en Afrique et dans les diasporas
¨ Repenser la négritude et le panafricanisme
Le symposium se terminera par un rassemblement commémoratif du 19 juin sur l’île de Gorée et une visite optionnelle du Monument de la Renaissance africaine de Dakar.
Soumissions :
1. Veuillez soumettre un résumé détaillé de 500 mots ou moins et une courte biographie avant
le 15 mars.
2. Les résumés sélectionnés et la notification seront partagés au plus tard le 5 avril.
3. Les papiers finaux doivent être remis le 15 mai.
4. Les articles ne doivent pas dépasser 4000 mots, Times New Roman, taille 12 et interligne simple.
5. Les communications au Symposium de Dakar ne doivent pas dépasser les 20 minutes.
Pour les propositions de communications, le format du colloque et les questions, veuillez conjointement contacter :
- en Afrique, en français, wolof et anglais : Dr Saliou Dione, Université Cheikh Anta Diop (salioudione@hotmail.com) et Dr Baboucar Diouf, Université Assane Seck de Ziguinchor (b.diouf@univ-zig.sn) ;
- aux États-Unis, en anglais et en français : Pr. Gregory Pardlo (isgrjcamden@oq.rutgers.edu) et Dr Baba Badji (isgrjcamden@oq.rutgers.edu).
oqrutgersedu ). * Call for Papers and Participants for The Dakar Translation Symposium: Africa and her Diasporas Rutgers, The State University of New Jersey Cheikh Anta Diop University of Dakar in Senegal (UCAD) Assane Seck Universiy of Ziguinchor in Sénégal (UASZ)
In the hope of fostering a transatlantic dialogue, The Dakar Translation Symposium: Africa and its Diasporas for June 12-20, 2022, brings together speakers and participants invested in the Black Diasporas. The Symposium is a collaborative effort between three institutions: Rutgers University, the University of Assane Seck University in Ziguinchor and Cheikh Anta Diop University in Dakar, where the symposium will be held. The Symposium will also serve to raise awareness and funds to support a collaborative Center for Translation Studies, Literature and Writing at Assane Seck University in Ziguinchor, which is in southern Senegal, and located at the crossroads of French, English and Portuguese regions superimposed on half a dozen local languages and their resulting creoles. Please note that working languages are English, French and Wolof.
Theme:
The Dakar Translation Symposium: Africa and her Diasporas invites and encourages proposals (abstracts) for themes including but not restricted to:
¨ Counternarratives and Translating History;
¨ The (Diasporic) Language of Hip-Hop;
¨ 1619 and the Birth of Modernity;
¨ Poetry of the Black Atlantic;
¨ Black Lives Matters and the Afterlives of Negritude;
¨ Creolization and creoleness;
¨ Creolization and Cultural Globalization;
¨ Creolization and the Diasporas;
¨ The Retrieval of African Indigenous Knowledge Systems;
¨ Superdiversity and the Complexities of New Migration Streams;
¨ Cultural and Linguistic Continuity and Changes;
¨ Ethnicity, Class, Gender, and Diversity in Africa and the Diasporas;
¨ Cultural Global Perspective: Africa and the Diasporas from the Inside and the Outside;
¨ The Postcolonial Configurations of North/South, West/ East, First World/Second World/Third World;
¨ New Communication Media and Technologies, New and Hybrid Cultural Forms and Practices, and Globalized Economies in Africa and the Diasporas;
¨ Hegemony, Politics and Economy in Africa and the Diasporas; ¨ Terrorism and the New Challenges of Security and Peace in Africa and the Diasporas;
¨ Centrality, Marginality, and the Human Conditions;
¨ Postcoloniality and Euro-Americanism in World Politics, Economy and Culture;
¨ Geopolitics and The Postcolonial: Reshaping North-South Cooperation;
¨ Reshaping the Africa-Diasporas Relations;
¨ (Post)Coloniality, Cultural and Civilizational Reconstruction in Africa and the Diasporas;
¨ Rethinking Negritude and Pan-Africanism. The symposium will culminate with a Juneteenth memorial gathering on Gorée Island and an optional visit to The African Renaissance Monument in Dakar.
Submissions :
1. Please submit a detailed abstract of 500 words or less and author’s biography by March 31st
2. Selected abstracts and notification will be shared on April 5th
3. Final papers are due on May 15th
4. Papers must be less than 4000 words, Times New Roman 12 point and single spaced
5. Papers need to fit into a 15 to 20 minutes time limit for The Dakar Translation Symposium: Africa and her Diasporas (no exceptions)
For symposium format and questions please contact:
isgrjcamden@oq.rutgers.edu
In Africa in French, Wolof and English: Dr. Saliou Dione, Cheikh Anta Diop University (salioudione@hotmail.com)and Dr. Baboucar Diouf, Assane Seck University (b.diouf@univ-zig.sn)
In the United States in English and French: Prof. Gregory Pardlo or Dr. Baba Badji (isgrjcamden@oq.rutgers.edu) ADRESSE Universite Cheikh Anta Diop de Dakar
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Mar 22, 2022, 3:11 PM | Updated: 9:41 pm FILE: People social distance as they wait in line to get into the Driver License Division office in West Valley City on Monday, June 29, 2020. Steve Griffin, Deseret News SALT LAKE CITY — Starting in January 2023, the written test for a Utah driver license will be available in five languages besides English. The change reflects a new state law just signed by Governor Spencer Cox. Senate Bill 216 was sponsored by State Senator Luz Escamilla. It passed both houses of the Utah legislature unanimously. State officials don’t know which languages will be printed. The Utah Division of Multicultural Affairs determines which languages are most commonly spoken in Utah. According to a report in The Salt Lake Tribune, a state health department survey in 2016 determined the most commonly spoken languages in Utah are English, Spanish, Chinese, German and Navajo. New driver license requirement applies only to written test The new requirement applies only to the written test required of all driver license applicants. The driving skills test will still be English, said Chris Caras, the director of the Utah Driver License Division. But he said the division has found ways to accommodate non-English speakers. “We can use hand gestures. We actually have a graphic that we can try and sit down with people prior to going out on a test,” he said. Caras says the division has no plans to hire multi-lingual personnel for its testing program. SB 216 appropriates $60,000 to cover the cost of translating and certifying the tests. Caras says that’s just what the division asked for. “Where it’s five languages and the legislative body was good enough to give us some time to get the logistics in place, I’m confident we’ll be able to meet the deadline,” he said.
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Which Language Should I Learn to Work as a Translator, Choose the Most Advantageous Language for You, and Learn While You Work.
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With the advancement and digitalization in the modern world, the translation and localization industry is also changing at a rapid pace....
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"Rendez-vous ce samedi 26 mars à 19h30 pour une réunion publique retransmise en direct depuis La Roche-sur-Foron avec la députée LFI Danièle Obono. Cet événement sera proposé dans un format inédit grâce à la présence d’interprètes en langue des signes française. Elle sera donc entièrement accessible aux personnes sourdes et malentendantes qui pourront également poser des questions tout au long de la réunion publique, qu’elles soient présentes sur place ou à distance." #metaglossia note
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London, England, United Kingdom...
An internal policy document obtained by Ynet show technology giant wants translations to say 'extraordinary circumstances' when referring to Ukraine invasion, following new 'fake news' law in Russia, which bears criminal responsibility Denis Vitchevsky| Published: 03.09.22, 14:03 According to an internal policy memo obtained by Ynet, Google is now requiring all Russian translators working on "projects that mention the war in Ukraine" to use the term "extraordinary circumstances". Google's headquarters at Silicon Valley (Photo: AFP) The requirement appears to be a result of a new "fake news" law introduced in Russia, which imposes administrative and criminal penalties for "the distribution of false information about the activities of the Russian security forces" and "the slander regarding the use of Russian military forces". According to the memo, the word "war" can still be used in any other language when referring to the invasion of Ukraine. Following the invasion of Ukraine, Google announced that it would not allow media outlets controlled by the Russian government to receive monetary revenue from advertising on its sites, apps, and YouTube videos. In addition, it prevented Russian media from receiving state funding to use its advertising "AdSense" tool to earn money on their sites and mobile apps. Google also announced that it had removed hundreds of YouTube channels and thousands of war-related videos since they had violated its policy, including the channel of one of the government's top-ranking propagandists, Vladimir Soloviev. The company also blocked access to Russian state-controlled TV networks, RT and Sputnik, throughout Europe. Russian President Vladimir Putin (Photo: AFP, Shutterstock) In the meantime, Russia's media watchdog began blocking media companies that used the term "war," rather than "special anti-terrorist activity". So far, Russia has banned the two of the largest social networks in the world: Facebook and Twitter. Tiktok also blocked Russian users from uploading new videos for fear that some of them would be found to be in violation of the "fake news" law. On Sunday, the New York Times announced that it was pulling its journalists from Russia because they couldn't operate there, while the Washington Post doesn't display the names of the writers in the materials provided by their correspondents from Russia.
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The School of Arts, English and Languages (AEL) at Queen’s University Belfast, is currently seeking to appoint an exceptional candidate to the post of Temporary Lecturer (Education) in Translation to cover a 15 week period of leave. The successful applicant will deliver effective teaching and learning at Postgraduate Research and Postgraduate Taught level with a particular focus on MA Assessment and dissertation supervision and PGR shared supervision, while contributing as appropriate to the Centre for Translation and Interpreting (CTI) and school administration.
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The School of Arts, English and Languages (AEL) at Queen’s University Belfast, is currently seeking to appoint an exceptional candidate to the post of Temporary Lecturer (Education) in Translation to cover a 15 week period of leave. The successful applicant will deliver effective teaching and learning at Postgraduate Research and Postgraduate Taught level with a particular focus on MA Assessment and dissertation supervision and PGR shared supervision, while contributing as appropriate to the Centre for Translation and Interpreting (CTI) and school administration.
The purpose of the present job opening is to invite applications from prospective candidates who wish to take the competitive examination for Arabic Interpreters planned for September 2022. All applications will be reviewed by the Board of Examiners. Posting Title: 2022 Competitive Examination for Arabic Interpreters, P2/P3, P3 Job Code Title: INTERPRETER, ARABIC Department/Office: Department for General Assembly and Conference Management Duty Station: NEW YORK Posting Period: 10 February 2022 - 19 March 2022 Job Opening Number: 22-Language-DGACM-164797-L-New York (L) Staffing Exercise N/A United Nations Core Values: Integrity, Professionalism, Respect for Diversity Org. Setting and Reporting These positions are located in the Department for General Assembly and Conference Management (DGACM) at Headquarters, Geneva, Vienna, and Nairobi as well as the Regional Commissions where applicable. These positions are under the general supervision of the Chief of Interpretation or Language Section / Service as appropriate. Responsibilities Within delegated authority, the Interpreter will be responsible for the following duties:
• Services up to seven meetings per week (exceptionally eight), usually of no more than three
hours duration, of various United Nations bodies.
• Provides interpretation into Arabic of speeches given in English or French and interpretation into English or French of speeches given in Arabic.
• May occasionally be assigned to sensitive meetings.
• May function as team leader of all interpreters assigned to a given meeting.
• May perform other related duties, as required. Competencies • Professionalism: Ability to demonstrate a high level of concentration and work under continuous stress. Knowledge of a broad range of subjects dealt with by the United Nations, i.e., political, social, legal, economic, financial, administrative, scientific, and technical subject matter. Shows pride in work and in achievements; demonstrates professional competence and
mastery of subject matter; is conscientious and efficient in meeting commitments, observing deadlines and achieving results. Motivated by professional rather than personal concerns. Shows persistence when faced with difficult problems or challenges remains calm in stressful situations. Takes responsibility for incorporating gender perspectives and ensuring the equal participation of women and men in all areas of work.
• Communication: Speaks and writes clearly and effectively: listens to others, correctly interprets messages from others and responds appropriately. Asks questions to clarify, and exhibits interest in having two-way communication. Tailors one’s language, tone, style, and format to match audience. Demonstrates openness in sharing information and keeping people informed.
• Teamwork: Works collaboratively with colleagues to achieve organizational goals, solicits input by genuinely valuing others' ideas and expertise; is willing to learn from others. Places
team agenda before personal agenda; supports and acts in accordance with final group decision, even when such decisions may not entirely reflect own position: shares credit for team accomplishments and accepts joint responsibility for team shortcomings.
• Commitment to Continuous Learning: Keeps abreast of new developments in own occupation/profession; actively seeks to develop oneself professionally and personally.
Contributes to the learning of colleagues and subordinates; shows willingness to learn from Others. Seeks feedback to learn and improve. Education Hold a first-level university degree (Bachelor or equivalent) from a recognized school of Interpretation in which at least one full academic year is devoted to interpretation.
Alternatively:
Applicants must hold a first-level degree in a languages-related field from a university or institution of equivalent status at which Arabic is the language of instruction where at least one full academic semester is devoted to translation or interpretation.
Or
Applicants must hold a first-level degree from a university or institution of equivalent status at which Arabic is the language of instruction and have 200 proven days of work in interpretation in Arabic and English or French.
The Board of Examiners may, at its discretion, admit an applicant graduating from a university at which the principal language of instruction is a language other than Arabic, if he or she has adequate secondary educational qualifications from an establishment at which the principal language is Arabic. Work Experience Work experience as conference interpreters and/or work experience in the fields of translation, editing, verbatim reporting or other related fields will be an asset. Languages • Have a perfect command of Arabic, which is normally expected to be their main language.
• Must be fluent in English or French as an active interpretation language.
• Applicants' claim to knowledge of exam languages must be supported by relevant documentation attached to their application. Further evidence of degrees, knowledge of languages and/or relevant experience may be required prior to convocation.
For the purposes of this exam, candidates are required to specify their active interpretation language combination (either Arabic <-> English or Arabic <-> French) in the cover letter.
Note: Applicants who have already applied may submit the required documentation before the closing date directly to celp@un.org. Assessment All applicants should submit with their applications an essay of no more than 500 words in English or French in lieu of a cover letter, explaining why they wish to work as an interpreter at the United Nations.
Applications without the required essay will not be taken into consideration.
Applications will be screened and carefully assessed based on the eligibility criteria, and only those applicants who are deemed qualified will be invited for the examination.
The examination process is in two parts: Part 1 tests interpretation skills and part 2 is a competency-based interview.
Part 1: Interpretation Skills
This part consists of the following:
1. Online interpretation pre-selection test,
2. Online interpretation exam – Session 1
3. Online interpretation exam – Session 2
Only candidates who are successful in the pre-selection test will be invited to the online interpretation exam (session 1 and session 2). Said candidates will receive an email notifying them of their eligibility to sit for the online interpretation exam.
The online interpretation examination will be conducted via an online testing platform. Candidates convoked for the examination will be responsible for identifying and securing a location suitable for them to complete the examination (i.e. a computer with a reliable internet connection). Further information regarding the online testing platform and exam preparation guidance will be provided to those convoked for the examination.
1. Pre-selection interpretation test: On 27 June 2022: the pre-selection test will consist of two statements: one audio statement in Arabic for simultaneous interpretation into English or French and one audio statement in English or French for simultaneous interpretation into Arabic (approximately 5-7 minutes each). Only candidates who pass the pre-selection test will be eligible to sit for sessions 1 and 2 of the online interpretation exam.
2. Online interpretation exam – session 1: On 06 September 2022: the exam will consist of simultaneous interpretation into Arabic of three recorded speeches delivered in English or French (approximately 8 to 10 minutes per audio recording);
3. Online interpretation exam – session 2: On 07 September 2022: the exam will consist of simultaneous interpretation into English or French of three recorded speeches in Arabic (approximately 8 to 10 minutes per audio recording).
Approximately two weeks before the pre-selection test and online exam session 1, all eligible candidates will be provided the opportunity to complete a mock test to ensure that their equipment and internet connection are acceptable. The mock test will not be evaluated and is only intended to help candidates familiarize themselves with the platform and check their set up.
Exam window
The exam window will be open for a limited time during which candidates should record their
interpretations.
Part 2: Pre-selection interview. Candidates must pass both session 1 and session 2 of the online interpretation exam to be considered successful in the 1st part of the examination process and will be invited to the competency based interview. Special Notice The purpose of the present job opening is to invite applications from prospective candidates who wish to take the competitive examination for Arabic Interpreters planned for September 2022. All applications will be reviewed by the Board of Examiners. In instances where a large number of applications are received, the Board of Examiners reserves the right to admit to the examination only the most qualified applicants based on a review of qualifications over and above the minimum criteria.
All applicants will be notified in writing of the Board's decision in respect of their application. Based on the overall results of the examination, the Board will recommend to the Director, Human Resources Service Division (HRSD) in the Department of Operational Support (DOS) the names of candidates who qualify for inclusion on the roster. All examinees will be informed in writing of the Board's final recommendation regarding their candidature. The Board's recommendations are final and not subject to appeal. The Board does not release individual scores or results.
As a result of the competitive examination, a roster will be established from which present and future vacancies for Arabic language Interpreter will be filled. When vacancies occur in the language services of the United Nations in Geneva, Nairobi, New York, and Vienna, successful candidates will be recruited from the roster, subject to the requirements of the service in terms of expertise and language combinations.
Successful examinees may thereafter be called upon to serve at other duty stations according to the needs of the Organization. Successful examinees are expected to serve a minimum of five years in a language post. Successful candidates should note that, in accordance with the needs of the Service/Section, they may be called upon to work outside normal working hours, including weekends and holidays. Successful candidates who receive an offer of appointment are strongly encouraged to accept it, as declining may affect their prospects of receiving a subsequent offer. A successful candidate who declines two offers will be removed from the roster.
Successful examinees selected from the roster to fill vacancies are normally offered an initial two-year fixed-term appointment at the P-2 level. This level comprises 12 steps, each corresponding to an annual increment awarded if performance is satisfactory.
Upon satisfactory completion of this trial period, they will be considered for a continuing appointment according to the staff rules in force and they may be promoted to the P-3 level, which comprises 15 steps. The fixed-term appointments of interpreters whose performance proves unsatisfactory will not be extended. Fully qualified interpreters with several years of internationally recognized professional language experience and demonstrated ability to perform high-quality work may be recruited at the P-3 level.
Incomplete application (lacking evidence of language fluency) and those that are received after the above deadline will not be considered. No extensions for submission will be given if applications cannot be sent by the deadline set in Inspira. (at midnight New York time).
Special notice to internal candidates
The competitive examination for Arabic Interpreters in 2022 is open to staff members of the United Nations at the P-3 level and below who meet the eligibility requirements, as well as qualified external candidates, in accordance with the provisions of ST/AI/2020/3.
The assignment of staff members of the United Nations who are successful in the examination and are selected to fill vacancies will be subject to the following conditions:
1. Staff members selected to fill vacancies will be assigned as Arabic language Interpreter for a trial period of two years according to the staff rules in force. Staff members below the P 2 level or in the General Service category will receive a special post allowance to the P- 2 level. Staff members at the P-2 and P-3 levels will be assigned at their respective levels.
2. Staff members with a special post allowance to the P-2 level and those already at the P-2 level who successfully complete the trial period and are recommended by the Department for General Assembly and Conference Management and the Office of Human Resources Management may be promoted to the P-3 level. Staff members already at the P-3 level who successfully complete the trial period will be confirmed in their functions at the P-3 level. After two years of satisfactory service on a fixed-term appointment, the candidate will be considered for a continuing appointment. This means that the candidate will have to demonstrate within that time that he or she possesses the requisite qualifications to serve as a career staff member of the United Nations in order to receive such an appointment. Staff members who do not successfully complete the trial period will be reassigned to posts at their previous levels, and the special post allowance, if any, will be discontinued.
Staff members from subsidiary organs of the United Nations and staff members whose service is limited to a particular organ, fund or programme of the United Nations or special missions are considered external candidates for the purpose of this examination. Such candidates, if successful in the examination, will be offered a new appointment with the United Nations, subject to normal United Nations recruitment procedures and standards.
Staff members selected to fill vacancies will be recruited as Arabic Interpreters according to the staff rules in force. United Nations Considerations According to article 101, paragraph 3, of the Charter of the United Nations, the paramount consideration in the employment of the staff is the necessity of securing the highest standards of efficiency, competence, and integrity. Candidates will not be considered for employment with the United Nations if they have committed violations of international human rights law, violations of international humanitarian law, sexual exploitation, sexual abuse, or sexual harassment, or if there are reasonable grounds to believe that they have been involved in the commission of any of these acts. The term “sexual exploitation” means any actual or attempted abuse of a position of vulnerability, differential power, or trust, for sexual purposes, including, but not limited to, profiting monetarily, socially or politically from the sexual exploitation of another. The term “sexual abuse” means the actual or threatened physical intrusion of a sexual nature, whether by force or under unequal or coercive conditions. The term “sexual harassment” means any unwelcome conduct of a sexual nature that might reasonably be expected or be perceived to cause offence or humiliation, when such conduct interferes with work, is made a condition of employment or creates an intimidating, hostile or offensive work environment, and when the gravity of the conduct warrants the termination of the perpetrator’s working relationship. Candidates who have committed crimes other than minor traffic offences may not be considered for employment.
Due regard will be paid to the importance of recruiting the staff on as wide a geographical basis as possible. The United Nations places no restrictions on the eligibility of men and women to participate in any capacity and under conditions of equality in its principal and subsidiary organs. The United Nations Secretariat is a non-smoking environment.
The paramount consideration in the appointment, transfer, or promotion of staff shall be the necessity of securing the highest standards of efficiency, competence, and integrity. By accepting an offer of appointment, United Nations staff members are subject to the authority of the Secretary-General and assignment by him or her to any activities or offices of the United Nations in accordance with staff regulation 1.2 (c). In this context, all internationally recruited staff members shall be required to move periodically to discharge new functions within or across duty stations under conditions established by the Secretary-General.
Applicants are urged to follow carefully all instructions available in the online recruitment platform, inspira. For more detailed guidance, applicants may refer to the Manual for the Applicant, which can be accessed by clicking on “Manuals” hyper-link on the upper right side of the inspira account-holder homepage.
The evaluation of applicants will be conducted on the basis of the information submitted in the application according to the evaluation criteria of the job opening and the applicable internal legislations of the United Nations including the Charter of the United Nations, resolutions of the General Assembly, the Staff Regulations and Rules, administrative issuances and guidelines. Applicants must provide complete and accurate information pertaining to their personal profile and qualifications according to the instructions provided in inspira to be considered for the current job opening. No amendment, addition, deletion, revision or modification shall be made to applications that have been submitted. Candidates under serious consideration for selection will be subject to reference checks to verify the information provided in the application.
Job openings advertised on the Careers Portal will be removed at 11:59 p.m. (New York time) on the deadline date. No Fee THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS’ BANK ACCOUNTS.
Via Charles Tiayon
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Scooped by
Quezil Language Services
March 14, 2022 5:00 AM
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Curated by Quezil Language Services
Agence de traduction basée au Cameroun I Cameroon-based translation agency - Contact: (+237) 243 298 177 - Website: www.quezil.com - E-mail: contact@quezil.com - WhatsApp: https://wa.me/message/BN5XLM5GWNPWL1
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