LinguaStream
Материал из MachineLearning.
(Различия между версиями)
(→[http://www.linguastream.org/ LinguaStream] -- An Integrated Experimentation Environment for Computational Linguistics) |
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* Shareability: the platform favours the sharing of NLP resources and algorithms, and we host a repository where they can be described and made available. | * Shareability: the platform favours the sharing of NLP resources and algorithms, and we host a repository where they can be described and made available. | ||
* Openness: LinguaStream is multi-platform, can handle documents in any XML format, has a component-based architecture, and offers a clean Java API. | * Openness: LinguaStream is multi-platform, can handle documents in any XML format, has a component-based architecture, and offers a clean Java API. | ||
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Текущая версия
LinguaStream -- An Integrated Experimentation Environment for Computational Linguistics
LinguaStream allows to design elegant and shareable solutions for many natural language processing (NLP) problems, quickly and conveniently. It offers:
* An integrated experimentation and prototyping environment, including a variety of operators that can be visually pipelined and imbricated to build high-level natural language processing algorithms. * An advanced document annotation model that allows arbitrary text spans to be marked up in documents, along with rich annotations represented as feature structures. * A variety of standard operators, like word or sentence splitting, POS tagging, projection of lexical resources, statistical analyses, etc. * A set of advanced operators based on declarative languages, allowing to formalise linguistic models according to different paradigms: automata, unification grammars, inference rules, constraint sets, etc. * A set of shell operators allowing to integrate with third-party systems, like the Syntex syntactic analysis tool. * A set of XML-based operators allowing to manipulate resources and perform document-engineering tasks. * A set of visualisation methods allowing annotated documents analyses to be observed in place, in concordancer-like views, from a statistical point of view, etc. * Shareability: the platform favours the sharing of NLP resources and algorithms, and we host a repository where they can be described and made available. * Openness: LinguaStream is multi-platform, can handle documents in any XML format, has a component-based architecture, and offers a clean Java API.