This is a list of NLP tools for various purposes.
Language Modeling
CMU-Cambridge Statistical Language Modeling Toolkit:
Kylm: A language modeling toolkit (written by me) that allows for weighted finite state transducer output and modeling of unknown words. Implemented in Java.
SRILM: An efficient n-gram language modeling toolkit that features a variety of features. A variety of smoothing techniques (including Kneser-Ney), class based models, model merging, etc.
Machine Learning
Mallet: A machine learning package for use in natural language processing. It implements hidden Markov models, maximum entropy Markov models, and conditional random fields. Written in Java.
SVM-Light: An efficient SVM library.
Machine Translation
Moses: A popular statistical machine translation toolkit with programs for alignment, MT decoding, and minimum error rate training.
Morphological Analysis
Chasen: A morphological analysis tool using HMMs. Site is in Japanese.
MeCab: A tool for morphological analysis using conditional random fields (CRFs). Site is in Japanese.
Pronunciation Estimation
KyTea: A toolkit for word segmentation and pronunciation estimation.
Speech Recognition
Julius: An open-source decoder for large vocabulary automatic speech recognition.
