NLTK
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| NLTK | Pattern | |
|---|---|---|
| 64 | 2 | |
| 13,015 | 8,662 | |
| 1.4% | 0.3% | |
| 8.1 | 0.0 | |
| 9 days ago | 10 months ago | |
| Python | Python | |
| Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
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NLTK
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Building a local AI smart Home Assistant
alternatively, could we not simply split by common characters such as newlines and periods, to split it within sentences? it would be fragile with special handling required for numbers with decimal points and probably various other edge cases, though.
there are also Python libraries meant for natural language parsing[0] that could do that task for us. I even see examples on stack overflow[1] that simply split text into sentences.
[0]: https://www.nltk.org/
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Sorry if this is a dumb question but is the main idea behind LLMs to output text based on user input?
Check out https://www.nltk.org/ and work through it, it'll give you a foundational understanding of how all this works, but very basically it's just a fancy auto-complete.
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Best Portfolio Projects for Data Science
NLTK Documentation
- Where to start learning NLP ?
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Is there a programmatic way to check if two strings are paraphrased?
If this is True, then you need also Natural Language Toolkit to process the words.
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[CROSS-POST] What programming language should I learn for corpus linguistics?
In that case, you should definitely have a look at Python's nltk library which stands for Natural Language Toolkit. They have a rich corpus collection for all kinds of specialized things like grammars, taggers, chunkers, etc.
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Transition to ml, starting with LLM
If not, start with Python's Natural Language Toolkit.
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Learning resources for NLP
Try https://www.nltk.org it runs you through the basics. The book is here
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Which programming language should I learn for NLP and computational linguistics?
In terms of programming languages, Python is a great first programming language. the learnpython subreddit has lots of good recommendations for resources to get started. Once you're comfortable with the language, NLTK would be a good place to start, and the docs have heaps of examples. Check it out https://www.nltk.org/
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Python for stock analysis?
The most popular library to do this is NLTK though I believe you can use some of the popular AI API services today as well. Bloomberg launched one.
Pattern
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Discussion Thread
if you're curious about the nitty gritty, the parsing module's documentation is well written and doesn't require a comp sci or linguistics degree to get the gist of what's happening.
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What would an interesting and applicable PhD topic?
Spacy. If you have time, explore nltk (the NLTK book is actually a really good place to start). I'm kind of fond of the https://github.com/clips/pattern -- it doesn't get the appreciation it deserves
What are some alternatives?
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
TextBlob - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
bert - TensorFlow code and pre-trained models for BERT
textacy - NLP, before and after spaCy
Stanza - Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
quepy - A python framework to transform natural language questions to queries in a database query language.
polyglot - Multilingual text (NLP) processing toolkit
pkuseg-python - pkuseg多领域中文分词工具; The pkuseg toolkit for multi-domain Chinese word segmentation
PyTorch-NLP - Basic Utilities for PyTorch Natural Language Processing (NLP)
SnowNLP - Python library for processing Chinese text