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The project supports the Welsh Language Technology domain with a set of NLP tools that drive innovation and advance the development of sophisticated textual analysis solutions. The WNLT project delivers four core NLP modules;
a) Word Segmentation for separating text into words
b) Sentence Boundary Disambiguation for finding sentence boundaries
c) Part of Speech Tagger for determining the part of speech of each word
d) Morphological Analyser for identifying the root form (lemma) of words. The modules are written in JAVA and ‘wrapped’ for execution under the General Architecture for Text Engineering (GATE) framework.
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WNLT is a suite of open source natural language modules for the Welsh
The project supports the Welsh Language Technology domain with a set of NLP tools that drive innovation and advance the development of sophisticated textual analysis solutions. The WNLT project delivers four core NLP modules;
a) Word Segmentation for separating text into words
b) Sentence Boundary Disambiguation for finding sentence boundaries
c) Part of Speech Tagger for determining the part of speech of each word
d) Morphological Analyser for identifying the root form (lemma) of words. The modules are written in JAVA and ‘wrapped’ for execution under the General Architecture for Text Engineering (GATE) framework.
...
This project extends the ASV Toolbox from the Wortschatz-project at the University of Leipzig.
It annotates terms extracted by the "TE" (Terminolgy Extraction) and "Namerec" modules with semantic resources.