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[ Paquet source : frog  ]

Paquet : frog (0.13.7-1)

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tagger and parser for natural languages (runtime)

Memory-Based Learning (MBL) is a machine-learning method applicable to a wide range of tasks in Natural Language Processing (NLP).

Frog is a modular system integrating a morphosyntactic tagger, lemmatizer, morphological analyzer, and dependency parser for natural languages. It is based upon it's predecessor TADPOLE (TAgger, Dependency Parser, and mOrphoLogical analyzEr). Using Memory-Based Learning techniques, frog tokenizes, tags, lemmatizes, and morphologically segments word tokens in incoming UTF-8 text files, and assigns a dependency graph to each sentence. Frog is particularly targeted at the increasing need for fast, automatic NLP systems applicable to very large (multi-million to billion word) document collections that are becoming available due to the progressive digitization of both new and old textual data. Up to now, frog has only been tested and used using corpora of Dutch natural language (see the frogdata package for samples).

Frog is a product of the ILK Research Group (Tilburg University, The Netherlands) and the CLiPS Research Centre (University of Antwerp, Belgium).

If you do scientific research in NLP, Frog will likely be of use to you.

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Télécharger pour toutes les architectures proposées
Architecture Taille du paquet Espace occupé une fois installé Fichiers
amd64 90,1 ko276,0 ko [liste des fichiers]
arm64 85,2 ko268,0 ko [liste des fichiers]
armel 80,7 ko220,0 ko [liste des fichiers]
armhf 81,9 ko192,0 ko [liste des fichiers]
i386 91,4 ko265,0 ko [liste des fichiers]
mips 84,9 ko273,0 ko [liste des fichiers]
mips64el 85,7 ko296,0 ko [liste des fichiers]
mipsel 85,9 ko273,0 ko [liste des fichiers]
ppc64el 86,4 ko390,0 ko [liste des fichiers]
s390x 86,0 ko288,0 ko [liste des fichiers]