Smile (Statistical Machine Intelligence and Learning Engine) is a fast and comprehensive machine learning, NLP, linear algebra, graph, interpolation, and visualization system in Java and Scala. With advanced data structures and algorithms, Smile delivers state-of-art performance.Smile covers every aspect of machine learning, including classification, regression, clustering, association rule mining, feature selection, manifold learning, multidimensional scaling, genetic algorithms, missing value imputation, efficient nearest neighbor search, etc.

Smile - Statistical Machine Intelligence & Learning Engine

LanguageTool is an Open Source proofreading software for English, French, German, Polish, Russian, and more than 20 other languages. It finds many errors that a simple spell checker cannot detect. Receive tips on how to improve your text (including punctuation advice etc.) while typing an e-mail, a blog post or just a simple tweet. Whatever language you're using, LanguageTool will automatically detect it and provide suggestions. 

LanguageTool - Style and Grammar Checker for 25+ Languages

This is a language detection library implemented in plain Java. It detects language of a text using naive Bayesian filter. It is 99% over precision for 53 languages.

Language Detection - Language Detection Library in Java

 The Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text. It supports the most common NLP tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, and coreference resolution. These tasks are usually required to build more advanced text processing services. OpenNLP also includes maximum entropy and perceptron based machine learning. 
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The Apache OpenNLP library contains several components, enabling one to build a full natural language processing pipeline. These components include: sentence detector, tokenizer, name finder, document categorizer, part-of-speech tagger, chunker, parser, coreference resolution. Components contain parts which enable one to execute the respective natural language processing task, to train a model and often also to evaluate a model. Each of these facilities is accessible via its application program interface (API). In addition, a command line interface (CLI) is provided for convenience of experiments and training. 

 The Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text. It supports the most common NLP tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, and coreference resolution. These tasks are usually required to build more advanced text processing services. OpenNLP also includes maximum entropy and perceptron based machine learning. 

OpenNLP -  Machine learning based toolkit for the processing of natural language text

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Smile - Statistical Machine Intelligence & Learning Engine

LanguageTool - Style and Grammar Checker for 25+ Languages

Language Detection - Language Detection Library in Java

OpenNLP - Machine learning based toolkit for the processing of natural language text

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Smile - Statistical Machine Intelligence & Learning Engine

LanguageTool - Style and Grammar Checker for 25+ Languages

Language Detection - Language Detection Library in Java

OpenNLP - Machine learning based toolkit for the processing of natural language text

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