Machine Translation Contd

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1 Machine Translation Contd Prof. Sameer Singh CS 295: STATISTICAL NLP WINTER 2017 March 7, 2017 Based on slides from Richard Socher, Chris Manning, Philipp Koehn, and everyone else they copied from.

2 Upcoming Project Status report due tonight: March 7, 2017 Almost final report, only 5 pages Summaries Paper summaries: March 14 Summary 2 graded Homework Homework 4 is due on March 13 Write-up, code, and data released. Lowest grade of the homeworks will be dropped CS 295: STATISTICAL NLP (WINTER 2017) 2

3 Outline Decoding Algorithms Syntax-Based MT Neural MT Models CS 295: STATISTICAL NLP (WINTER 2017) 3

4 Outline Decoding Algorithms Syntax-Based MT Neural MT Models CS 295: STATISTICAL NLP (WINTER 2017) 4

5 Phrase Decoding: Stacks CS 295: STATISTICAL NLP (WINTER 2017) 5

6 Monotonic Decoding CS 295: STATISTICAL NLP (WINTER 2017) 6

7 Monotonic Phrase Decoding CS 295: STATISTICAL NLP (WINTER 2017) 7

8 Monotonic Phrase Decoding (Mary) CS 295: STATISTICAL NLP (WINTER 2017) 8

9 Monotonic Phrase Decoding (Mary) (did not) CS 295: STATISTICAL NLP (WINTER 2017) 9

10 Monotonic Phrase Decoding (Mary) (did not) (slap) CS 295: STATISTICAL NLP (WINTER 2017) 10

11 Monotonic Phrase Decoding (Mary) (did not) (slap) (the) CS 295: STATISTICAL NLP (WINTER 2017) 11

12 Monotonic Phrase Decoding (Mary) (did not) (slap) (the) (green witch) CS 295: STATISTICAL NLP (WINTER 2017) 12

13 Non-Monotonic Decoding CS 295: STATISTICAL NLP (WINTER 2017) 13

14 Non-Monotonic Decoding CS 295: STATISTICAL NLP (WINTER 2017) 14

15 Non-Monotonic Decoding CS 295: STATISTICAL NLP (WINTER 2017) 15

16 Non-Monotonic Decoding CS 295: STATISTICAL NLP (WINTER 2017) 16

17 Non-Monotonic Decoding CS 295: STATISTICAL NLP (WINTER 2017) 17

18 Non-Monotonic Decoding CS 295: STATISTICAL NLP (WINTER 2017) 18

19 Non-Monotonic Decoding CS 295: STATISTICAL NLP (WINTER 2017) 19

20 Comparing Partial Translations CS 295: STATISTICAL NLP (WINTER 2017) 20

21 Hypothesis Recombination CS 295: STATISTICAL NLP (WINTER 2017) 21

22 Hypothesis Recombination CS 295: STATISTICAL NLP (WINTER 2017) 22

23 Multi-Stack Decoding function STACKDECODING(source sentence) initialize stacks from 0..n for i = 0.. n-1 for h in k-best hypothesis from stack[i] for h in possible expansion of h assign a score to h push h onto stack[len(h )] return max(stack[n]) CS 295: STATISTICAL NLP (WINTER 2017) 23

24 Outline Decoding Algorithms Syntax-Based MT Neural MT Models CS 295: STATISTICAL NLP (WINTER 2017) 24

25 Limits of the Phrase Model Ich habe das Auto gekauft Non-Contiguous Phrases I bought the car Den Antrag verabschiedet das Parlament Syntactic Transformations The draft approves the Parliament CS 295: STATISTICAL NLP (WINTER 2017) 25

26 Syntax leads to Good English CS 295: STATISTICAL NLP (WINTER 2017) 26

27 The Vauquios Triangle CS 295: STATISTICAL NLP (WINTER 2017) 27

28 String to Tree Translation [Yamada and Knight, 2001] CS 295: STATISTICAL NLP (WINTER 2017) 28

29 String to Tree Translation CS 295: STATISTICAL NLP (WINTER 2017) 29

30 Synchronous CFGs CS 295: STATISTICAL NLP (WINTER 2017) 30

31 Outline Decoding Algorithms Syntax-Based MT Neural MT Models CS 295: STATISTICAL NLP (WINTER 2017) 31

32 Neural MT Models CS 295: STATISTICAL NLP (WINTER 2017) 32

33 Recurrent Neural Networks CS 295: STATISTICAL NLP (WINTER 2017) 33

34 Recurrent Neural Networks Bee s knees rodillas de abejas CS 295: STATISTICAL NLP (WINTER 2017) 34

35 Different Weights Bee s knees rodillas de abejas CS 295: STATISTICAL NLP (WINTER 2017) 35

36 More Connections Bee s knees rodillas de abejas CS 295: STATISTICAL NLP (WINTER 2017) 36

37 CS 295: STATISTICAL NLP (WINTER 2017) 37

38 Other Extensions Reverse Bee s knees rodillas de abejas abejas de rodillas CS 295: STATISTICAL NLP (WINTER 2017) 38

39 Other Extensions Stacking Bee s knees rodillas de abejas CS 295: STATISTICAL NLP (WINTER 2017) 39

40 Other Extensions Bi-directional abejas de rodillas Bee s knees rodillas de abejas CS 295: STATISTICAL NLP (WINTER 2017) 40

41 Regular Recurrent Units h t-1 h t x t CS 295: STATISTICAL NLP (WINTER 2017) 41

42 Gated Recurrent Units h t-1 h t ĥ t r t z t x t CS 295: STATISTICAL NLP (WINTER 2017) 42

43 Long Short-Term Memory h t-1 o t h t ĉ t c t-1 c t f t i t x t CS 295: STATISTICAL NLP (WINTER 2017) 43

44 Neural MT Results CS 295: STATISTICAL NLP (WINTER 2017) 44

45 Trend in Machine Translation CS 295: STATISTICAL NLP (WINTER 2017) 45

46 Multilingual Neural MT: Naïve Spanish English-Spanish Encoder English-Spanish Decoder English Hindi English-Hindi Encoder English-Hindi Decoder English Chinese English-Chinese Encoder English-Chinese Decoder English CS 295: STATISTICAL NLP (WINTER 2017) 46

47 Multilingual NMT: Decoder Spanish English-Spanish Encoder Hindi English-Hindi Encoder Shared Decoder English Chinese English-Chinese Encoder CS 295: STATISTICAL NLP (WINTER 2017) 47

48 Multilingual NMT: Encoder English-Spanish Decoder Spanish English English Encoder English-Hindi Decoder Hindi English-Chinese Decoder Chinese CS 295: STATISTICAL NLP (WINTER 2017) 48

49 Google Neural MT Spanish Spanish Encoder Spanish Decoder Spanish Hindi Hindi Encoder Hindi Decoder Hindi GNMT Chinese Chinese Encoder Chinese Decoder Chinese English English Encoder English Decoder English CS 295: STATISTICAL NLP (WINTER 2017) 49

50 Out of Control! From Ryan CS 295: STATISTICAL NLP (WINTER 2017) 50

51 Out of Control! From Iain CS 295: STATISTICAL NLP (WINTER 2017) 51

52 Out of Control! From Iain CS 295: STATISTICAL NLP (WINTER 2017) 52

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