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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.
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D.U.C.K (Determine segmentation of Unknown words by using Context Knowledge)is an NLP tool, which aims to find the correct segmentation for unknown words in written Hebrew. Statistics from different scopes will be used to determine the segmentation.
JVnSegmenter is a Java-based and open-source Vietnamese word segmentation tool. The segmentation model was trained on about 8,000 sentences using Conditional Random Fields (FlexCRFs). This tool would be useful for Vietnamese NLP community.
MASQOT-GUI is an open-source, platform-independent application for two-channel microarray spot quality control. Included is a set of tools for gridding, segmentation, quantification, multivariate spot quality assessment and data visualization.
AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
A set of software components used to investigate and implement searching of music and audio. This covers content-based retrieval and meta-data based solutions, segmentation and content selection (summarisation) of audio and music (MIDI, MP3 and WAV).