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Home > Machine Learning Guide > 20. Natural Language Processing 3
Podcast: Machine Learning Guide
Episode:

20. Natural Language Processing 3
Category: Technology
Duration: 00:40:26
Publish Date: 2017-07-23 18:47:37
Description:

Natural Language Processing classical/shallow algorithms.

## Resources - Speech and Language Processing (http://amzn.to/2uZaNyg) `book:hard` comprehensive classical-NLP bible - Stanford NLP YouTube (https://www.youtube.com/playlist?list=PL6397E4B26D00A269) `course|audio:medium` - NLTK Book (http://www.nltk.org/book) `book:medium` - Convert video to audio: ** mp4 => mp3: `for f in *.mp4; do ffmpeg -i "$f" "${f%.mp4}.mp3" && rm "$f"; done` ** youtube => mp3: setup youtube-dl (https://github.com/rg3/youtube-dl) and run `youtube-dl -x youtube.com/playlist?list=`

## Episode - Parsing ** Constituents ** Grammar: Context Free Grammars (CFGs), Probabalistic CFGs (PCFGs), Cocke–Younger–Kasami (CYK) ** Dependency Tree: Greedy transition-based parsing (stack/buffer) ** SyntaxNet (English = Parsey McParseface) - Relationship Extraction - Question Answering / Textual Entailment (TF-IDF+Cosine Similarity; Parsing; NER) - Automatic summarization (TF-IDF; TextRank) - Machine Translation (details here (https://www.youtube.com/watch?v=QuELiw8tbx8&list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6&index=9))
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