NLP Resources for a Rare Language Morphological Analyzer: Danish Case

dc.contributor.authorКотов, М.В.
dc.date.accessioned2018-07-16T23:29:16Z
dc.date.available2018-07-16T23:29:16Z
dc.date.issued2017
dc.descriptionORCID ID: http://orcid.org/0000-0001-8327-5197ru_RU
dc.description.abstractThe paper discusses the characteristics and practical aspects of application of the natural language processing resources available for developing a rare language morphological analysis solution. The case under consideration reveals the pipeline design needed to prepare the grammatical resources for Danish. Being rare not only in terms of distribution, but also in the amount of natural language resources available, the Danish language represents a significant problem in terms of application of third-party tools to help solve various NLP-related issues. The paper focuses on part-of-speech tagging and lemmatization, typical but indispensable tasks at the pre-processing stage within the framework of developing a morphological analyzer as a custom NLP solution.ru_RU
dc.identifier.citationKotov M. NLP resources for a rare language morphological analyzer: danish case / Mykhailo Kotov // Computational linguistics andintelligent systems (COLINS 2017) : proceedings of the 1st International conference, Kharkiv, Ukraine, 21 April 2017 / National Technical University «KhPI», Lviv Polytechnic National University. – Kharkiv, 2017. – P. 31–36. – Bibliography: 12 titles.ru_RU
dc.identifier.urihttps://ekhnuir.karazin.ua/handle/123456789/14264
dc.language.isoenru_RU
dc.publisherNational Technical University «KhPI», Lviv Polytechnic National Universityru_RU
dc.subjectResearch Subject Categories::TECHNOLOGY::Information technologyru_RU
dc.subjectResearch Subject Categories::HUMANITIES and RELIGION::Languages and linguisticsru_RU
dc.subjectmorphological analyzer, lemmatization, part-of-speech tagging, Hunspell, OpenNLP, Snowball stemmer, SyntaxNet, word-listru_RU
dc.titleNLP Resources for a Rare Language Morphological Analyzer: Danish Caseru_RU
dc.typeArticleru_RU

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