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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 5 of 5 1 WikiWars-UA : Ukrainian corpus annotated with temporal expressions Grabar, Natalia; Hamon, Thierry In: Computational Linguistics and Intelligent Systems ; https://hal.archives-ouvertes.fr/hal-02371237 ; Computational Linguistics and Intelligent Systems, Apr 2019, Kharkiv, Ukraine (2019) BASE Show details 2 Creation of a multilingual aligned corpus with Ukrainian as the target language and its exploitation Grabar, Natalia; Hamon, Thierry In: Computational Linguistics and Intelligent Systems ; https://hal.archives-ouvertes.fr/hal-01736363 ; Computational Linguistics and Intelligent Systems, Apr 2017, Kharkiv, Ukraine (2017) BASE Show details 3 Unsupervised acquisition of morphological resources for Ukrainian Hamon, Thierry; Grabar, Natalia In: Computational Linguistics and Intelligent Systems ; https://hal.archives-ouvertes.fr/hal-01736400 ; Computational Linguistics and Intelligent Systems, Apr 2017, Kharkiv, Ukraine (2017) Abstract: International audience ; 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, morpho-syntactic 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 copora. The currently available resource contains 3,315 fully validated pairs of words. Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO]Computer Science [cs]; Morphological resource; morphology; Natural Language Processing; Ukrainian URL: https://hal.archives-ouvertes.fr/hal-01736400 BASE Hide details 4 Adaptation of Cross-Lingual Transfer Methods for the Building of Medical Terminology in Ukrainian Hamon, Thierry; Grabar, Natalia In: CICLING 2016 ; https://hal.archives-ouvertes.fr/hal-01426807 ; CICLING 2016, Apr 2016, Konya, Turkey (2016) BASE Show details 5 Acquisition of Medical Terminology for Ukrainian from Parallel Corpora and Wikipedia Hamon, Thierry; Grabar, Natalia In: International Conference on Terminology and Artificial Intelligence ; https://hal.archives-ouvertes.fr/hal-01972746 ; International Conference on Terminology and Artificial Intelligence, Pamela Faber and Thierry Poibeau, Jan 2015, Granada, Spain (2015) BASE Show details

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