Computational linguistics and intelligent systems. – 2017 р.

Permanent URI for this collectionhttps://ena.lpnu.ua/handle/ntb/39448

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Author: search.filters.author.Hamon, Thierry

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    Unsupervised acquisition of morphological resources for Ukrainian
    (National Technical University «KhPI», 2017) Hamon, Thierry; Grabar, Natalia; LIMSI-CNRS, Orsay, Université Paris 13, Sorbonne Paris Cité, France; CNRS UMR 8163 STL, Université Lille 3, 59653 Villeneuve d'Ascq, France
    Availability of morphological resources is an important and recurrent need because they allow the development of NLP tools and applications for a given language. Indeed, such resources provide basic information which is necessary for such tools for performing more sophisticated treatments (information retrieval, morphosyntactic tagging, etc). We propose to acquire morphological resources for Ukrainian language. The method proposed exploits corpora in order to extract words that are related morphologically between them. The method has two versions: without and with processing of prefixes. The association strength between these words indicates their probability to have a morphological and semantic relation between them. We use three corpora (literary, medical and general-language) and evaluate the results obtained. According to the corpora, precision varies between 67% and 86%. The results from different corpora are also compared, which shows that there is little redundancy between the corpora. The currently available resource contains 3,315 fully validated pairs of words.
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    Creation of a multilingual aligned corpus with Ukrainian as the target language and its exploitation
    (National Technical University «KhPI», 2017) Grabar, Natalia; Hamon, Thierry; CNRS UMR 8163 STL, Université Lille 3, 59653 Villeneuve d'Ascq, France; LIMSI-CNRS, Orsay, Université Paris 13, Sorbonne Paris Cité, France
    The question on creation of linguistic resources (such as corpora, lexica or terminologies) occupies an important place in the research areas related to linguistics, Natural Language Processing, Computer Sciences, psycholinguistics, etc. In this paper, we propose the description of a multilingual corpus in which Ukrainian is the target language, while source languages are Polish, French and English. The corpus contains literary texts and a small subset built with texts provided by medical area. On the whole, the corpus is composed of 62 literary texts and 129 medical texts. The corpus counts over 1 million words in the tar-get Ukrainian language, and at least as much in the source languages taken all together. This is a directional corpus aligned at the level of sentences. After the description of this corpus, we introduce some possible exploitations and first results. We then conclude and indicate some directions for future work. The corpus presented in this work is available for the research purposes: http://natalia.grabar.free.fr/resources.php.