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My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.

Python 41.38% Java 58.62%
autocorrector autocorrection regular-expression regular-expressions sentiment-analysis sentiment-classification ner named-entity-recognition parsing parser

dan-jurafsky--chris-manning--nlp's Introduction

Dan Jurafsky & Chris-Manning: Natural Language Processing 2012

This is my solution of the Natural Language Processing Coursera course made by Dan Jurafsky, Chris Manning in Winter 2012. This course was deleted from Coursera Database, but you can get the videos from this YouTube channel:

https://www.youtube.com/playlist?list=PLoROMvodv4rOFZnDyrlW3-nI7tMLtmiJZ

And You can get the slides from Stanford Website:

https://web.stanford.edu/~jurafsky/NLPCourseraSlides.html

Or you can download the whole course from this torrent link:

http://academictorrents.com/details/d2c8f8f1651740520b7dfab23438d89bc8c0c0ab

Assignments

This Course has 8 different assignments:

  1. SpamLord.

  2. Autocorrect.

  3. Sentiment Analysis

  4. NER

  5. PCFG

  6. CKY

  7. IR

  8. Question & Answer

Each folder of these contains a compressed folder, this folder contains the original assignment in case you wanted to re-solve it.

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