NLP resources for a rare language morphological analyzer: danish case
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Date
2017
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Publisher
National Technical University «KhPI»
Abstract
The 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.
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Keywords
morphological analyzer, lemmatization, part-of-speech tagging, Hunspell, OpenNLP, Snowball stemmer, SyntaxNet, word-list
Citation
Kotov 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.