MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) derives algorithm to handle lack of training data, making it easier to adopt current machine translation methods.
US research agency IARPA is conducting an open competition under one of its main programs that challenges participants to build a system where users search audio and text documents in low-resource languages using English queries.
US government earmarks USD 14m for research into automated translations of low-resource language material for the intelligence community. System will be able to retrieve info, translate, and summarize in English with capacity to translate 750m words daily.
IARPA needs natural language processing, media translation company shuts down and fails to pay linguists, asset manager likes SDL, more money for Expert System, and could IBM Watson now be more useful to LSPs?
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