Tools for natural language processing

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Anyone who wants to get started with Natural Language Processing can turn to a variety of practical online tools and instructions . Deciding which tool best suits your needs depends on the language itself and the natural language processing methods you want to use. Below we present some of these open source tools :

The Natural Language Toolkit is a collection of tools for Natural Language Processing written in Python. They provide access to over 100 text corpora for languages ​​such as English, Portuguese, Polish, Dutch, Catalan and Basque. In addition, the Natural Language Toolkit can also perform various text editing functions, such as part-of-speech tagging, syntactic analysis, realtor email database tokenization (defining radicals, a preliminary step often used for natural language processing) and text justification (wrapping). The Natural Language Toolkit also provides an introduction to programming as well as detailed documentation and is intended for university students, teachers and researchers alike.



Stanford NLP Group Software – This is one of the leading research groups in the field of Natural Language Processing and offers different tools, with which the basic forms of words (tokenization), the functions of words (grammatical tagging or Part-Of-Speech Tagging) and the structure of sentences (parsing) can be determined. All this is complemented by tools for more complex processes such asdeep learning , which pays attention to the context of sentences. In this respect, Stanford CoreNLP includes most of the basic functions. As an additional note, all Stanford NLP Group programs are written in Java and available for various languages, including English, Chinese, German, French and Spanish.



Visualtext is a set of tools written in NLP++ , a programming language for Natural Language Processing. This programming language is specially developed for so-called deep text analyzers, i.e. for deep text analysis that is necessary to obtain universal knowledge (information about the environment and society). Visualtext is used to extract information from large amounts of text, so in this case the tool allows, for example, to compile long texts, but also to collect events on specific topics and from different web pages and put them in a single overview. Visualtext also offers the possibility of being used free of charge for non-commercial purposes.