Difference between revisions of "NLP Status Report 2017-5-22"

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* learn the implement of seq2seq model
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* read tf_translate code
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* understand the meaning of main code
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* start writing documents
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Revision as of 03:18, 23 May 2017

Date People Last Week This Week
2017/4/5 Jiyuan Zhang
Aodong LI
Shiyue Zhang
  • tried to not train embedding but use external word vectors
  • most results of my attempts are bad, only 3-layer rnn + no dropout model got 25.54 bleu which about 2 points worse than original baseline
  • trained original baseline on new data ( the data fixed the reverse sentence problem), got bleu=27.88; moses bleu=32.47
  • try more models to get similar results as original baseline on new data
  • m-nmt model on new data
Shipan Ren
  • learn the implement of seq2seq model
  • read tf_translate code
  • understand the meaning of main code
  • start writing documents