Language Tech Market News
52.3K views | +24 today
Follow
Language Tech Market News
The Home of Multilingual Intelligence
Curated by LT-Innovate
Your new post is loading...
Your new post is loading...
Scooped by LT-Innovate
Scoop.it!

New Models to Bring Low-resource Languages and Spoken Dialects into #NeuralMT

New Models to Bring Low-resource Languages and Spoken Dialects into #NeuralMT | Language Tech Market News | Scoop.it

Microsoft Research. We tackled the challenge of insufficient parallel data using a Semi-Supervised Universal Neural Machine Translation approach that requires only a few thousand parallel sentences for an extremely low-resource language to achieve a high-quality machine translation system. This exciting research will be presented at the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-2018).

more...
No comment yet.
Scooped by LT-Innovate
Scoop.it!

Another US University to Build #MT for 'Low Resource' Languages

Another US University to Build #MT for 'Low Resource' Languages | Language Tech Market News | Scoop.it

Philipp Koehn, a computer science professor at John Hopkins U's Whiting School of Engineering, is leading a group of 20 professors, research scientists, post-doctoral fellows, and doctoral students in an effort to build a system that can respond to inquiries typed in English based on documents written in so-called "low resource" languages, which means there is relatively little written material in these languages.

LT-Innovate's insight:

Trending? This follows (but with different purpose) a similar project started in S. California.this year 

more...
No comment yet.
Scooped by LT-Innovate
Scoop.it!

Viterbi Low-Resource MT Project Gets IARPA Grant

Viterbi Low-Resource MT Project Gets IARPA Grant | Language Tech Market News | Scoop.it
The Intelligence Advanced Research Projects Activity presented researchers from the USC Viterbi School of Engineering’s Information Sciences Institute with a $16.7 million grant to develop a tool that will more efficiently translate low-resource languages. The project, titled SARAL, which stands for Summarization and domain-Adaptive Retrieval, will focus on creating systems that will provide automated translations and summaries of those languages.
more...
No comment yet.