language-recognition

ANTLR (ANother Tool for Language Recognition) is a powerful parser generator for reading, processing, executing, or translating structured text or binary files.

Natural language detection library for Rust. Try demo online: https://whatlang.org/

👄 The most accurate natural language detection library for Go, suitable for long and short text alike

👄 The most accurate natural language detection library for Rust, suitable for long and short text alike

👄 The most accurate natural language detection library for Java and the JVM, suitable for long and short text alike

👄 The most accurate natural language detection library for Python, suitable for long and short text alike

Implementation of the paper "Spoken Language Recognition using X-vectors" in Pytorch

End-to-end spoken language identification out of the box.

Dialect identification using Siamese network

Knife is a Java top-down parser generator for building parsers from grammars in BNF format.

Faster, modernized fork of the language identification tool langid.py

Collection of self-supervised models for speaker and language recognition tasks.

Multi-label MFoM Framework for Speech Articulatory Attributes Detection

📚 Сборник полезных штук из Natural Language Processing

Language Detection Library

Language identification using Siamese network based on i-vector

Simple, yet fast, Python scripts to read Kaldi NNet3 models and compute bottleneck features

👄 Fork of the language detector Lingua, with the intention to increase detection speed and reduce memory consumption

The LALR parser generator (LPG) is a tool for developing scanners and parsers. Supports multi-language . Input is specified by BNF rules. LPG supports backtracking (to resolve ambiguity), automatic AST generation and grammar inheritance.