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  • CLARIN-PL

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  • Project: CLARIN-PL
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  • DG-POLFIE: POLFIE and Malt-based syntactic parser

    DG-POLFIE is a prototypical parser that tries to merge parse fragments generated by POLFIE using Polish Dependency Parser DG-POLFIE aims to improve the coverage of the POLFIE parser (i.e. the percentage of sentences with at least one analysis). In order to increase the number of Polish sentences and constructions that could be parsed with the POLFIE-based parser, DG-POLFIE defines some rules that use depenency structure to build full parse from the FRAGMENTS provided by POLFIE.
  • Slowal (2018-06-29)

    Slowal is a web tool designed for creating, editing and browsing valence dictionaries. So far, it has mainly been used for creating The Polish Valence Dictionary (Walenty). Slowal supports the process of creating the dictionary; it also facilitates access by making it possible to browse the dictionary using an advanced built-in filtering system, covering both syntactic and semantic phenomena. Slowal also gives control over the work of lexicographers involved in creating dictionary, for instance by using predefined lists of values, which prevents spelling errors and enforces consistency, as well as by imposing strict validation rules. Last but not least, the created dictionary can be exported from Slowal in various formats: plain text, TeX, PDF, and TEI XML. This version was adapted for creating semantics of nouns and adjectives.
  • Periphraser

    Periphraser is a tool for storing and presenting knowledge base of conventionalized periphrastic nominal expressions (i.e. phrases headed by a noun) together with their textually attested realizations. For instance, the database entry for the phrase ,,Robert Lewandowski'' in the demo for Polish will include the phrase ,,the Polish international'' while ,,pediatrics'' will be featured as ,,medical care for children''. It allows contacting with database using REST API as well as exporting it to XML or CSV format. For Polish language, it also provides some more complex mechanisms like: automatic semantic and syntactic normalization, errors autodetection (also based on NKJP frequency and amount of results returned by the web browser), and simple interface for commenting and marking possibly wrong entries or ones needing improvement.