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albelda-corpus.pdf

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Excelente trabajo, y muy útil.

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Applied Corpus Linguistics to Education
Corpus linguistics resources for language teaching and learning
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elexicography.eu | Bled 2014

elexicography.eu | Bled 2014 | Applied Corpus Linguistics to Education | Scoop.it
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Neither a Borrower Nor a Lender Be? - Education & Schools Resources - Cambridge University Press

Neither a Borrower Nor a Lender Be? - Education & Schools Resources - Cambridge University Press | Applied Corpus Linguistics to Education | Scoop.it
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How well do you know your historical English? - Telegraph

How well do you know your historical English? - Telegraph | Applied Corpus Linguistics to Education | Scoop.it
Pot-shotten, dagged, topped and drunk: English has always had many ways of expressing a single concept. Can you guess what these words mean? Take our quiz
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What's the future of English? | British Council Voices

What's the future of English? | British Council Voices | Applied Corpus Linguistics to Education | Scoop.it
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What do we mean by good grammar? - YouTube

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Pearson Longman's October 2009 ESL Newsletter

Pearson Longman's October 2009 ESL Newsletter | Applied Corpus Linguistics to Education | Scoop.it
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Transforming Your Students' Vocabulary
Tania Saiz-Sousa, Marketing Manager

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Pearson ELT April 2012 Newsletter

Pearson ELT April 2012 Newsletter | Applied Corpus Linguistics to Education | Scoop.it
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Focusing on Vocabulary in Writing Classes
by Joyce Cain

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Real_Grammar_Units_2_and_29.pdf

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This is a great example of how to frame grammar units informed by/based on corpora within a more familiar format for students in regular language classes.

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Vol.8, No.1 - Corpora - Edinburgh University Press

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Free issue!!!

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Our Use Of Little Words Can, Uh, Reveal Hidden Interests

Our Use Of Little Words Can, Uh, Reveal Hidden Interests | Applied Corpus Linguistics to Education | Scoop.it
When we talk, we focus on the "content" words — the ones that convey information. But the tiny words that tie our sentences together have a lot to say about power and relationships.
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Timeline Photos - American English at State | Facebook

Timeline Photos - American English at State | Facebook | Applied Corpus Linguistics to Education | Scoop.it
Did you know there is a certain order when we use multiple adjectives to describe one noun? For example: The big dirty old brown dog was sleeping. Check...
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ELF corpora in the mainstream: notes from the ICAME 35 ...

ELF corpora in the mainstream: notes from the ICAME 35 ... | Applied Corpus Linguistics to Education | Scoop.it
Mikko Laitinen, Magnus Levin and Alexander Lakaw presented a poster entitled “Ongoing grammatical change and the new Englishes: Towards a set of corpora of English use in the expanding circle” (link to pdf, or click on ...
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La préparation de la question de Corpus - Français 1ère - Les Bons Profs

Un point de méthode fait par une prof pour apprendre à préparer la question de corpus. Plus de vidéos de français sur http://www.lesbonsprofs.com/premiere#!f...
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Gabrielatos, C. & Duguid, A. (2014). Corpus Linguistics and CDA: A critical look at synergy. CDA20+ Symposium, University of Amsterdam, 9 September 2014.

Gabrielatos, C. & Duguid, A. (2014). Corpus Linguistics and CDA: A critical look at synergy. CDA20+ Symposium, University of Amsterdam, 9 September 2014.
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Reported Speech

Reported Speech | Applied Corpus Linguistics to Education | Scoop.it
Grammar course for students at levels B1-C2. Simple and clear. Learn English grammar for free!
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Vocabulary placement test – intermediate students

Vocabulary placement test – intermediate students | Applied Corpus Linguistics to Education | Scoop.it
Have you tried our vocabulary placement test for elementary students, and it was too easy for you? Have you scored close to 2000? Then this is the vocabulary test you should take. Here we test the wor...
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Common prescriptive mistakes part 2– Made up rules / Split infinitives - YouTube

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Longman Dictionaries :: Pearson Longman

Longman Dictionaries :: Pearson Longman | Applied Corpus Linguistics to Education | Scoop.it
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How Do We Build Our Dictionaries?
The Longman Corpus

Tania Saiz-Sousa, Dictionaries Marketing Manager

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Pearson Longman's February ESL Newsletter

Pearson Longman's February ESL Newsletter | Applied Corpus Linguistics to Education | Scoop.it
Jersus Colmenares's insight:

Who's Afraid of the AWL? (page 1)
John Brezinsky, Higher Education Marketing Manager

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Pearson Longman's May 2010 ESL Newsletter

Pearson Longman's May 2010 ESL Newsletter | Applied Corpus Linguistics to Education | Scoop.it
Jersus Colmenares's insight:

Great reading: "Corpus Linguistics and Grammar Teaching
By Douglas Biber and Susan Conrad"

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IV International Conference on Corpus Use and Learning to Translate (CULT). University of Alicante

IV International Conference on Corpus Use and Learning to Translate (CULT). University of Alicante | Applied Corpus Linguistics to Education | Scoop.it
IV International Conference on Corpus Use and Learning to Translate (CULT). Fourth Congress International CULT (Corpus Use and Learning to Translate)
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ELF corpora in the mainstream: notes from the ICAME 35 ...

ELF corpora in the mainstream: notes from the ICAME 35 ... | Applied Corpus Linguistics to Education | Scoop.it
Mikko Laitinen, Magnus Levin and Alexander Lakaw presented a poster entitled “Ongoing grammatical change and the new Englishes: Towards a set of corpora of English use in the expanding circle” (link to pdf, or click on ...

Via Pascual Pérez-Paredes
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LIWC: Linguistic Inquiry and Word Count

LIWC: Linguistic Inquiry and Word Count | Applied Corpus Linguistics to Education | Scoop.it
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Needles in a haystack: questioning the "fluidity" of ELF

Needles in a haystack: questioning the "fluidity" of ELF | Applied Corpus Linguistics to Education | Scoop.it
As I've earlier argued on this blog, sometimes the claims of "fluidity", "diversity", and "innovation" found in English as a lingua franca (ELF) research are overstated. It's so diverse that even o...
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What's New in Papyrology: Talk: (Uni-Leipzig) Amir Zeldes, Corpus Linguistics Tools for Sahidic Coptic

Corpus Linguistics Tools for Sahidic Coptic 
Amir Zeldes1 & Caroline T. Schroeder2
1 Humboldt-Universität zu Berlin, 2 University of the Pacific 
Coptic, the language of Christian Egypt in the Hellenistic era of the first millennium, offers both a chance and a challenge for digital humanities research in the 21st century. On the one hand, there are comparatively few digital resources available: no publically available automatic tokenization, part-of-speech tagging, or corpus search software, nor any guidelines on how to undertake these tasks (we are aware of only one, incomplete and unreleased effort to tag Coptic in Orlandi 2004; our work bases partly on Orlandi’s lexical resources, kindly made available to us). On the other hand, an explosion of work in digital humanities (standards like TEI/EpiDoc for manuscript digitization, cf. Cayless et al. 2009 or digital infrastructure like Perseus, cf. Crane et al. 2009, to name just two) has led to a wide range of resources one can draw on in bringing Coptic to the level of technology now enjoyed e.g. by Greek and Latin. 
To seize these opportunities, we have endeavored to develop comprehensive, freely available tools for the automatic linguistic processing of Coptic manuscripts that can be corrected manually and made available online. We present the first publically available tokenizer (lexicon and rule-based) for the main Sahidic dialect of Coptic, as well as two corresponding part-of-speech tagging schemes and training models, fine and coarse grained. Tokenization for Coptic is a non-trivial task, since manuscripts are written in scriptio continua (without spaces), but Coptic word forms are linguistically segmented at two levels: both into minimal morphemes, and into larger word forms, corresponding to nominal or verbal complexes, including related prepositions and articles (nouns) and multiple concatenated conjugation bases with subject/object pronouns and allomorphy (verbs). Our tokenizer currently addresses only the first task, and assumes that a human annotator has separated the scriptio continua into the coarse word forms. Example (1) shows morpheme borders added by the tokenizer, represented by pipe symbols. In some cases, letters can stand for two sounds that belong to different morphemes. In such cases the tokenizer saves the original diplomatic form and also outputs an alternative orthography which allows morphemes to be represented separately. This is shown in (2) for the letter   theta), which stands for a /t/ followed by /h/ coming from different morphemes (individual letters are transliterated in angle brackets). In words of Greek origin, theta, phi and chi should be retained, while coincidental combinations of multiple morphemes leading to these letters must be disentangled. 
Etc. at  Abstract


Via Charles Tiayon
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Charles Tiayon's curator insight, December 16, 2013 10:19 PM

Corpus Linguistics Tools for Sahidic Coptic 
Amir Zeldes1 & Caroline T. Schroeder2
1 Humboldt-Universität zu Berlin, 2 University of the Pacific 
Coptic, the language of Christian Egypt in the Hellenistic era of the first millennium, offers both a chance and a challenge for digital humanities research in the 21st century. On the one hand, there are comparatively few digital resources available: no publically available automatic tokenization, part-of-speech tagging, or corpus search software, nor any guidelines on how to undertake these tasks (we are aware of only one, incomplete and unreleased effort to tag Coptic in Orlandi 2004; our work bases partly on Orlandi’s lexical resources, kindly made available to us). On the other hand, an explosion of work in digital humanities (standards like TEI/EpiDoc for manuscript digitization, cf. Cayless et al. 2009 or digital infrastructure like Perseus, cf. Crane et al. 2009, to name just two) has led to a wide range of resources one can draw on in bringing Coptic to the level of technology now enjoyed e.g. by Greek and Latin. 
To seize these opportunities, we have endeavored to develop comprehensive, freely available tools for the automatic linguistic processing of Coptic manuscripts that can be corrected manually and made available online. We present the first publically available tokenizer (lexicon and rule-based) for the main Sahidic dialect of Coptic, as well as two corresponding part-of-speech tagging schemes and training models, fine and coarse grained. Tokenization for Coptic is a non-trivial task, since manuscripts are written in scriptio continua (without spaces), but Coptic word forms are linguistically segmented at two levels: both into minimal morphemes, and into larger word forms, corresponding to nominal or verbal complexes, including related prepositions and articles (nouns) and multiple concatenated conjugation bases with subject/object pronouns and allomorphy (verbs). Our tokenizer currently addresses only the first task, and assumes that a human annotator has separated the scriptio continua into the coarse word forms. Example (1) shows morpheme borders added by the tokenizer, represented by pipe symbols. In some cases, letters can stand for two sounds that belong to different morphemes. In such cases the tokenizer saves the original diplomatic form and also outputs an alternative orthography which allows morphemes to be represented separately. This is shown in (2) for the letter   theta), which stands for a /t/ followed by /h/ coming from different morphemes (individual letters are transliterated in angle brackets). In words of Greek origin, theta, phi and chi should be retained, while coincidental combinations of multiple morphemes leading to these letters must be disentangled. 
Etc. at  Abstract