The Open Source World of Natural Language Processing
summary
Survey of concrete open-source tools and contributions: catalogues libraries (NLTK, Moses machine translation, spaCy, Gensim, fastText, TensorFlow/PyTorch), describes a merged GitHub pull request that adds a Python disambiguation function for the word "bank" and edits a translation module, explains Rakuten’s morphological analyzer for Chinese/Japanese and category-to-vector classifiers, outlines using word embeddings and RNN sequence-to-sequence models, and lists practical contribution steps: tests, bug reports, docs and small code fixes.
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chapters (11)
- 0:00Start
- 0:26What this talk is about?
- 1:24NLP Applications
- 1:44Natural Language Processing
- 3:15Text NLP Snapshot
- 4:25Deep Learning Tsunami
- 5:21Deep Learning Snapshot
- 6:59Experience
- 7:56Commit
- 8:25Contribute
- 9:53Review
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