Simple multilingual lemmatizer for Python, especially useful for speed and efficiency
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Updated
Oct 9, 2024 - Python
Simple multilingual lemmatizer for Python, especially useful for speed and efficiency
Easy-to-use speech toolset. Written in TypeScript. Includes tools for synthesis, recognition, alignment, speech translation, language detection, source separation and more.
Collection of language identification libraries for .NET: FastText, CLD2, CLD3, MediaPipe, Lingua, Whatlang
The most accurate natural language detection library for Rust, suitable for short text and mixed-language text
The most accurate natural language detection library for Go, suitable for short text and mixed-language text
A collection of sample apps to demonstrate how to use Google's ML Kit APIs on Android and iOS
The most accurate natural language detection library for Python, suitable for short text and mixed-language text
The most accurate natural language detection library for Java and the JVM, suitable for long and short text alike
Fast and accurate language identifier
✨ Split text by languages (e.g. 你喜欢看アニメ吗 -> 你喜欢看 | アニメ | 吗) for NLP tasks (e.g. parse, TTS). Powered by fasttext and langua
Data on languages and language scripts identified in the Globalise VOC corpus
⚡️ 80x faster language detection with Fasttext | Split text by language for TTS
Language identification microservice powered by the FastText language detection model
Node and Browser env supported WebAssembly version of fastText: Library for efficient text classification and representation learning.
Fast and accurate natural language detection. Detector written in PHP. Nito-ELD, ELD.
Targetted language identifier, based on FastText and Hunspell.
A word level Language Identification (LID) tool for Tagalog-English (Taglish) text.
A Repository for Single- and Multi-modal Speaker Verification, Speaker Recognition and Speaker Diarization
Implement a GRU/LSTM model using Keras, and train it to classify the languages using MFCC features
Created an Android app with Google ML Kit for translation among 59 languages. Integrated image text extraction with ML Text Recognition v2, language auto-detection for unidentified text using Language Identification. Added a text-to-speech feature for reading translated text aloud.
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