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Disambiguation of Homograms in a Pitch Accent Language (CROSBI ID 657741)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Nacinovic Prskalo, Lucia ; Brkic Bakaric, Marija Disambiguation of Homograms in a Pitch Accent Language // Proceedings of 2017 International Conference on Computer Science and Artificial Intelligence CSAI 2017. New York (NY): The Association for Computing Machinery (ACM), 2017. str. 32-37 doi: 10.1145/3168390.3168409

Podaci o odgovornosti

Nacinovic Prskalo, Lucia ; Brkic Bakaric, Marija

engleski

Disambiguation of Homograms in a Pitch Accent Language

The Croatian language is a pitch-accent language in which the tone contour realized in the stressed syllable carries the lexical information. Therefore, in some cases, different lexical accent gives the word a different meaning. In such cases, the ambiguity of the word in written texts where accents are not usually marked, can be solved by determining the appropriate accent. There are also cases when various basic and derived forms of words have different meanings, different morphosyntactic tags and possibly different accents. When words have same written forms, but different meanings, they are called homograms. In order to resolve the ambiguity of homograms, we created a lexicon of homograms which is comprised of all Croatian nouns of different gender which have the same written forms (if accents are not marked), but different meanings, morphosyntactic tags and possibly different accents. The lexicon consists of 19, 366 entries and 3, 460 unique homograms. Each entry in the lexicon comprises of the homogram (unaccented word), the corresponding MSD, the accented word and the accented lemma. The obtained lexicon enables us to identificate and disambiguate homograms within the corpus efficiently and accurately.

disambiguation of homograms ; lexicon of homograms ; word sense disambiguation ; pitch accent language ; homogram, homograph ; homophone ; Croatian language

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Podaci o prilogu

32-37.

2017.

objavljeno

10.1145/3168390.3168409

Podaci o matičnoj publikaciji

Proceedings of 2017 International Conference on Computer Science and Artificial Intelligence CSAI 2017

New York (NY): The Association for Computing Machinery (ACM)

978-1-4503-5392-2

Podaci o skupu

International Conference on Computer Science and Artificial Intelligence (CSAI 2017)

predavanje

05.12.2017-07.12.2017

Jakarta, Indonezija

Povezanost rada

Informacijske i komunikacijske znanosti

Poveznice
Indeksiranost