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nlcs's Introduction

Language model N-gram

Table Of Contents

Documentation
Applications
Reasions
Formula
N-Grams common
Smoothings

Documentation

  1. N-gram Language Models
  2. Modeling Natural Language with N-Gram Models
  3. N-Gram Language Models Explained with Examples
  4. N-gram-language models
  5. N-gram Language Modeling Tutorial
  6. Big exercise
  7. Edit fomula in mydocument
  8. video Ngram 2
  9. PP làm mịn Add-one(Laplace)
  10. PP làm mịn Good-turing
  11. Báo cáo tiến độ

Applications

  • automated machine translation
  • predict the next most likely word to occur in a sentence
  • automatically generate text from speech
  • automate spelling correction
  • determine the relative sentiment of a piece of text

Reasions

  • identify words in noisy, ambiguous input, like speech recognition or handwriting recognition
  • cho biết phân bố xác xuất trên các tập văn bản là bao nhiêu

Fomula

  1. Công thức Bayes:
  • Công thức Bayes
  • Công thức Bayes cho chuỗi W
  1. Xấp xỉ Markov:
  • Công thức Markov

N-Grams

  1. Unigram
  2. Bigram
  3. Trigram

Smoothings

  1. Chiếc khấu (Discounting)
  • Add-one (Laplace):
    • Tính Ci* với unigram
    • Tính Pi* với unigram
    • Tính Pi* với ngram
  • Writen-Bell
    • Tính P khi Ci-1=0
    • Tính P khi ci-1>0
  • Good - turing
  1. Truy hồi (Back-off)
  2. Nội suy (Interpolation)

nlcs's People

Contributors

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Watchers

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