Machine translation

2 entries between September 2016 and June 2017, 1 turning point.

Turning points

  1. Google researchers publish “Attention Is All You Need”

    Eight researchers at Google posted a paper to arXiv describing the transformer, a network built on attention alone, with no recurrence. It reported 28.4 BLEU on the WMT 2014 English-to-German task, trained on eight GPUs in three and a half days.

Every entry

  1. Google researchers publish “Attention Is All You Need”

    Eight researchers at Google posted a paper to arXiv describing the transformer, a network built on attention alone, with no recurrence. It reported 28.4 BLEU on the WMT 2014 English-to-German task, trained on eight GPUs in three and a half days.

  2. Google puts neural machine translation into production

    Google switched Google Translate’s Chinese-to-English pair to GNMT, an end-to-end deep LSTM system described in a companion paper by Yonghui Wu and 30 co-authors. Google said it cut translation errors by 55 to 85 percent on several language pairs.