| cld3 | langid.py | |
|---|---|---|
| 6 | 2 | |
| 749 | 2,242 | |
| 0.9% | - | |
| 0.0 | 0.0 | |
| 12 months ago | over 4 years ago | |
| C++ | Python | |
| Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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cld3
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cld3: Rust binding for Compact Language Detector v3 (CLD3), a neural network model for language identification.
the C++ code is from https://github.com/google/cld3
- Lingua-Go, the most accurate language detection for Go
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Announcing Lingua 1.0.0: The most accurate natural language detection library for Python, suitable for long and short text alike
Python is widely used in natural language processing, so there are a couple of comprehensive open source libraries for this task, such as Google's CLD 2 and CLD 3, langid and langdetect. Unfortunately, except for the last one they have two major drawbacks:
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Best C# library to detect the language of user input strings without calling external APIs like Google Translate etc?
I was looking for something like that for .net app and ended up using this https://github.com/google/cld3
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Using char n grams as input to a neural network
I used it a lot in the models I work on. For example, we used it on a widely used project called CLD3 (https://github.com/google/cld3). The performance is great.
- Language Detection - Pre Trained Models
langid.py
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Curator v0.1.0: Auto-organize large movie collections (AI language detection+sync)
Right now it's in early stages: It can detect languages from audio and subtitles (Whisper+LangID) with good results so far tried with 52 movies here (failed with just 1 which was silent). I'm currently working on synchronization: Hopefully subtitle timestamps and audio sound effects can suffice for cross-correlation. After that, I'll work on the TUI (maybe add a proper GUI too) to improve UX.
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Announcing Lingua 1.0.0: The most accurate natural language detection library for Python, suitable for long and short text alike
Python is widely used in natural language processing, so there are a couple of comprehensive open source libraries for this task, such as Google's CLD 2 and CLD 3, langid and langdetect. Unfortunately, except for the last one they have two major drawbacks:
What are some alternatives?
ntextcat
polyglot - Multilingual text (NLP) processing toolkit
lingua - The most accurate natural language detection library for Java and the JVM, suitable for long and short text alike
TextBlob - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
langdetect - Port of Google's language-detection library to Python.
py3langid - Faster, modernized fork of the language identification tool langid.py
lingua-py - The most accurate natural language detection library for Python, suitable for short text and mixed-language text
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
cld2 - Compact Language Detector 2
NLTK - NLTK Source
lingua-go - The most accurate natural language detection library for Go, suitable for short text and mixed-language text
stanfordnlp - [Deprecated] This library has been renamed to "Stanza". Latest development at: https://github.com/stanfordnlp/stanza