傳統演算法

1） BerkeleyLM 是用java寫的，號稱跟KenLM差不多，記憶體比srilm小

https://github.com/adampauls/berkeleylm

2）MITLM (The MIT Language Modeling toolkit) 引數優化做的比較好

https://code.google.com/p/mitlm/ or https://github.com/mitlm/mitlm

3）SRILM（The SRI language modeling toolkit) 老牌語言模型工具，SRI（Stanford Research Institute）開發，使用比較廣泛，c++版本

http://www.speech.sri.com/projects/srilm/

另外Maximum entropy (MaxEnt) language models is蘇pported in the SRILM toolkit

https://phon.ioc.ee/dokuwiki/doku.php?id=people:tanel:srilm-me.en

4）IRSTLM (IRST language modeling toolkit) 義大利TrentoFBK-IRST實驗室開發處理較大規模的訓練資料，integrated into Moses (a popular open source Statistical Machine Translation decoder)

http://hlt-mt.fbk.eu/technologies/irstlm or https://github.com/irstlm-team/irstlm

5）KenLM (Kenneth Heafield's language model toolkit) 最大特點是速度快、佔用記憶體少。號稱比SRILM要好一些，支援單機大資料的訓練,包括c++和python兩個介面

http://kheafield.com/code/kenlm/ or https://github.com/kpu/kenlm

6）Bigfatlm Provides Hadoop training of Kneser-ney language models, written in Java

https://github.com/jhclark/bigfatlm

7）Kylm (Kyoto Language Modeling Toolkit)  written in Java,Output in WFST format for use with WFST decoders

http://www.phontron.com/kylm/  or  https://github.com/neubig/kylm

8) OpenGrm Language modelling toolkit for use with OpenFst, makes and modifies n-gram language models encoded as weighted finite-state transducers (FSTs)

http://opengrm.org/

深度學習

1）RNNLM(Recurrent neural network language model toolkit)

http://rnnlm.org/ or http://www.fit.vutbr.cz/~imikolov/rnnlm/

2）BRNNLM (Bayesian recurrent neural network for language model)

http://chien.cm.nctu.edu.tw/bayesian-recurrent-neural-network-for-language-modeling

3）RWTHLM (RWTH Aachen University Neural Network Language Modeling Toolkit, includes feedforward, recurrent, and long short-term memory neural networks)

http://www-i6.informatik.rwth-aachen.de/web/Software/rwthlm.php

4）Character-Aware Neural Language Models，employs a convolutional neural network (CNN)over characters to use as inputs into an long short-term memory (LSTM)recurrent neural network language model (RNN-LM)

https://github.com/yoonkim/lstm-char-cnn