Blog Directory
Top level » Software » Natural Language Processing & Information Extraction » Language Modelling/Generation/Detection CMU Sphinx - Speech Recognition Toolkit   AWD-LSTM / AWD-QRNN Language Model   berkeleylm  An N-gram Language Model Library from UC Berkeley Bow (or libbow) is a C-library for language modeling.   Compact Language Detector 2   - a very fast and compact library that detects over 80 languages in UTF-8 text. Continuous Space Language Model toolkit   Downloadable NLG systems   EasyGen   - a visual user interface to help set up simple neural network generation tasks. faster-rnnlm  Yandex - Faster Recurrent Neural Network Language Modeling Toolkit with Noise Contrastive Estimation and Hierarchical Softmax. gensim - topic modelling for humans   GloVe: Global Vectors for Word Representation   IRST LM Toolkit   - free/open-source language modelling tool, which can be used with Moses instead of SRILM (the latter is not free). KenLM Language Model Toolkit   - Small-memory efficient language modeling. NPLM   - is a toolkit for training and using feedforward neural language models due to Bengio, 2003. Open Source Speech Software from Carnegie Mellon University   RandLM: space-efficient ngram-based language models built using randomized representations.  David Talbot, Miles Osborne, Oliver Wilson Recurrent Neural Network (RNN) Language Modeling by Microsoft Research   RiTa   - an easy-to-use toolkit for experiments in natural language and generative literature. It includes text-generation via CFGs and Markov chains; taggers for syllables, phonemes, stress, POS. Rita also provides a Java-API for WordNet and morphology modules. RNNLM Toolkit  Tomas Mikolov - neural network based language models. SimpleNLG   - Java API for Natural Language Generation. SRILM - The SRI Language Modeling Toolkit   The CMU-Cambridge Statistical Language Modeling toolkit  R Rosenfeld, Philip Clarkson The MIT Language Modeling (MITLM) toolkit   The Word Vector Tool   - The Word Vector Tool is a flexible Java library for statistical language modelling. It especially supports the creation of word vector representations of text documents in the vector space model (each document is represented by the terms it contains). The vector space model is the point of departure for many text processing applications (e.g. web mining, text classification or information retrieval). word2vec: vector space representations for words and skip-grams