forked from KEMT/zpwiki
60 lines
2.2 KiB
Markdown
60 lines
2.2 KiB
Markdown
---
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title: Spracovanie prirodzeného jazyka
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published: true
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taxonomy:
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category: [project]
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tag: [nlp]
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author: Daniel Hladek
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---
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# Spracovanie prirodzeného jazyka
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Odporúčané témy:
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- [identifikácia pomenovaných entít](./named-entity) (named entity recognition)
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- [dialógové systémy](./chatbot) (chatbot)
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- strojový preklad (machine translation)
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- oprava preklepov (spelling error correction, diacritics restoration)
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- získavanie informácií (vyhľadávanie v texte)
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- identifikácia viacslovných výrazov (chunking)
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- anotácia textových dát
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## Knihy
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- [Krátky úvod do NLP](./mrakt) (prezentácia z predmetu Moderné rečové a komunikačné technológie 2019)
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- Lane, Howard, Hopke: Natural language processing in action
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- [Spacy Tutoriál](https://nlpforhackers.io/complete-guide-to-spacy/)
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- [Dive into Python](https://diveintopython3.problemsolving.io/) [(česky)](http://diveintopython3.py.cz/index.html)
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- [Natural Language Processing in Action](https://www.manning.com/books/natural-language-processing-in-action) [(git)](https://github.com/totalgood/nlpia)
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- [Python Data Science Handbook](https://github.com/jakevdp/PythonDataScienceHandbook)
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- [Speech and Language Processing 2rd edition](https://github.com/rain1024/slp2-pdf)
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- [Speech and Language Processing 3rd edition](https://web.stanford.edu/~jurafsky/slp3/)
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## Odporúčané nástroje
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- Prostredie [Anaconda](https://www.anaconda.com/distribution/)
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- Chatbot [RASA](https://rasa.com/)
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- Knižnica [Spacy](https://spacy.io/)
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- Anotácie [Prodigy](https://prodi.gy/)
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- Získavanie informácií [Elasticsearch](https://www.elastic.co/products/elasticsearch)
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- seq2seq Neurónové siete [Fairseq](https://github.com/pytorch/fairseq)
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- webové aplikácie a REST [Flask](https://www.fullstackpython.com/flask.html)
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- [Flair](https://github.com/zalandoresearch/flair)
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- [Spacy](https://spacy.io/)
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- [GloVe](https://nlp.stanford.edu/projects/glove/) word embedding
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- [FastText](https://fasttext.cc/) word embedding
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- [GenSim](https://radimrehurek.com/gensim/) (topic modelling)
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Postup:
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- Nainštaluj si Anacondu
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- Prečítaj si materiály
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- Vyber si zaujímavú úlohu a nástroj
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- Vyskúšaj nástroj
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- Napíš správu o riešení úlohy
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