too Simple Language Recognition
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Updated
Feb 9, 2017 - Python
too Simple Language Recognition
Simple, yet fast, Python scripts to read Kaldi NNet3 models and compute bottleneck features
Language identification using Siamese network based on i-vector
Dialect identification using Siamese network
🎏🎌 language recognition script implemented using basic algorithms and spaghetti code
Language Detection Library
Streaming version of Linguakit, a multilingual toolkit for NLP
Multi-label MFoM Framework for Speech Articulatory Attributes Detection
Knife is a Java top-down parser generator for building parsers from grammars in BNF format.
End to End Dialect Identification using Convolutional Neural Network
Implementation of the paper "Spoken Language Recognition using X-vectors" in Pytorch
Grammax is a Java bottom-up SLR/CLR parser generator that builds parsers from grammars in Backus-Naur-Form.
End-to-end spoken language identification out of the box.
The NASABot integrated with NASA API and LUIS (Language Recognition Service). It provides access to the latest NASA API (like Space Weather Database Of Notifications and other NASA services) using plain English and Natural User Flow.
The LALR parser generator (LPG) is a tool for developing scanners and parsers written in TypeScript ,C#, Java, C++ or C. Input is specified by BNF rules. LPG supports backtracking (to resolve ambiguity), automatic AST generation and grammar inheritance.
Collection of self-supervised models for speaker and language recognition tasks.
The European Parliament Proceedings Parallel Corpus (1996-2011) (https://www.statmt.org/europarl/) is a well-known dataset in Natural Language Processing tasks, it contains proceedings of the European Parliament in 21 European languages. In this project we will only extract data from 6 languages (German, French, Spanish, Italian, Polish and Eng…
A single-layer neural network written from scratch that predicts the language of the text.
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