machine translation

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1. 1▶Can AI improve machine translation with preprocessing?Lessons in Localization by Eric SilbersteinNotes
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2. 2▶Machine Translation - Lecture 22: Computer Aided TranslationMachine TranslationNotes
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3. 3▶Machine Translation - Lecture 21: Corpus Acquisition from the InternetMachine TranslationNotes
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4. 4▶Machine Translation - Lecture 18: Syntax and SemanticsMachine TranslationNotes
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5. 5▶Machine Translation - Lecture 17: Beyond Parallel DataMachine TranslationNotes
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6. 6▶Machine Translation - Lecture 12: Neural Translation Model DecodingMachine TranslationNotes
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7. 7▶Machine Translation - Lecture 11: Neural Translation ModelsMachine TranslationNotes
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8. 8▶Machine Translation - Lecture 10: Neural Language ModelsMachine TranslationNotes
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9. 9▶Machine Translation - Lecture 8: Introduction to Neural NetworksMachine TranslationNotes
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10. 10▶Machine Translation - Lecture 7: EvaluationMachine TranslationNotes
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11. 11▶Machine Translation - Lecture 6: DecodingMachine TranslationNotes
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12. 12▶8 deep neural networks are our friendsLxMLS 2016Notes
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13. 13▶9 memory networks for language understandingLxMLS 2016Notes
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14. 14▶6 syntax and parsing ILxMLS 2016Notes
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15. 15▶5 learning structured predictorsLxMLS 2016Notes
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16. 16▶7 turbo parser redux from dependencies to constituentsLxMLS 2016Notes
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17. 17▶3 sequence modelsLxMLS 2016Notes
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18. 18▶2 introduction to machine kearning linear learnersLxMLS 2016Notes
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19. 19▶4 machine translation as sequence modellingLxMLS 2016Notes
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20. 20▶Lecture 10: Neural Machine Translation and Models with AttentionLecture Collection | Natural Language Processing with Deep Learning (Winter 2017)Notes
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21. 21▶Review Session: Midterm ReviewLecture Collection | Natural Language Processing with Deep Learning (Winter 2017)Notes
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22. 22▶Lecture 8: Recurrent Neural Networks and Language ModelsLecture Collection | Natural Language Processing with Deep Learning (Winter 2017)Notes
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23. 23▶Lecture 9: Machine Translation and Advanced Recurrent LSTMs and GRUsLecture Collection | Natural Language Processing with Deep Learning (Winter 2017)Notes
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24. 24▶Lecture 6: Dependency ParsingLecture Collection | Natural Language Processing with Deep Learning (Winter 2017)Notes
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25. 25▶Lecture 7: Introduction to TensorFlowLecture Collection | Natural Language Processing with Deep Learning (Winter 2017)Notes
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26. 26▶Lecture 5: Backpropagation and Project AdviceLecture Collection | Natural Language Processing with Deep Learning (Winter 2017)Notes
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27. 27▶Lecture 4: Word Window Classification and Neural NetworksLecture Collection | Natural Language Processing with Deep Learning (Winter 2017)Notes
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28. 28▶Lecture 2 | Word Vector Representations: word2vecLecture Collection | Natural Language Processing with Deep Learning (Winter 2017)Notes
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29. 29▶Lecture 3 | GloVe: Global Vectors for Word RepresentationLecture Collection | Natural Language Processing with Deep Learning (Winter 2017)Notes
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