1. Articles from theatlantic.com

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    1. China's Artificial-Intelligence Boom

      China's Artificial-Intelligence Boom

      Print Text Size Each winter, hundreds of AI researchers from around the world convene at the annual meeting of the Association of the Advancement of Artificial Intelligence. Last year, a minor crisis erupted over the schedule, when AAAI announced that 2017’s meeting would take place in New Orleans in late January. The location was fine. The dates happened to conflict with Chinese New Year.

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    2. Could Two People Use Real-Time Translation to Fall in Love?

      Could Two People Use Real-Time Translation to Fall in Love?

      While his tea cools, Josh stares out the window at the imposing mountain not far off, the one described in the novel he’s been reading and rereading for years. The cafe’s crowded, but the conversations, beautiful and strange, wash over him. Josh is alone, but not lonely. When he next looks up from his book, however, someone’s across from him, speaking. At first, the words are unintelligible, and Josh shakes his head back and forth while he slips a tiny cylinder into each ear.

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      Mentions: India England Canada
    3. Bigger, Better Google Ngrams: Brace Yourself for the Power of Grammar

      Back in December 2010, Google unveiled an online tool for analyzing the history of language and culture as reflected in the gargantuan corpus of historical texts that have been scanned and digitized as part of the Google Books project. They called the interface the Ngram Viewer, and it was launched in conjunction with a blockbuster paper in the journal Science that baptized this Big Data approach to historical analysis with the label "culturomics." The appeal of the Ngram Viewer was immediately
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    4. Google Now Translates As Much Text in a Day As Human Pros Can in a Year

      Google Now Translates As Much Text in a Day As Human Pros Can in a Year
      Today, Google announced that their translation engine, which is premised on simple machine learning techniques multiplied by vast volumes of data, now receives 200 million users per day. The scale of the service spins out some crazy stats about Google's role in language today. Here's Franz Och, a research scientist at the company: In a given day we translate roughly as much text as you'd find in 1 million books. To put it another way: what all the professional human translators in the world prod
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    1-22 of 22
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      Discourse, Entailment, Machine Translation, NER, Parsing, Segmentation, Semantic, Sentiment, Summarization, WSD