Pregled bibliografske jedinice broj: 524120
Automatic Syllabification in Written Croatian with NooJ
Automatic Syllabification in Written Croatian with NooJ // Automatic Processing of Various Levels of Linguistic Phenomena: Selected Papers from the NooJ 2011 International Conference / Vučković, Kristina ; Bekavac, Božo ; Silberztein, Max (ur.).
Newcastle upon Tyne: Cambridge Scholars Publishing, 2012. str. 229-236 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Automatic Syllabification in Written Croatian with NooJ
Autori
Štefanec, Vanja ; Đuranić, Ivana
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Automatic Processing of Various Levels of Linguistic Phenomena: Selected Papers from the NooJ 2011 International Conference
/ Vučković, Kristina ; Bekavac, Božo ; Silberztein, Max - Newcastle upon Tyne : Cambridge Scholars Publishing, 2012, 229-236
ISBN
1-4438-3711-3
Skup
NooJ 2011 International Conference and Workshop
Mjesto i datum
Dubrovnik, Hrvatska, 13.06.2011. - 15.06.2011
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
autosegmental phonology; syllabification; automatic hyphenation; Croatian language; NooJ
Sažetak
Syllable is considered as the basic unit of pronunciation. Although the native speakers understand the notion of syllable intuitively and without being taught are able to syllabify, i.e. to split words into syllables, as a linguistic unit syllable is very difficult to define. Some features regarding the structure of a syllable are common across all languages while others are language-specific. Rule-based methods for automatic syllabification in various languages are based mainly on the same few theoretical principles, namely the Sonority Sequencing Principle and the Maximal Onset Principle, but at the same time syllabification rules cannot be generalized due to the fact that in every language there are some exceptions to these principles and that the syllabic structure is dependent on the phonological system of the language. Automatic syllabification is especially useful in the field of automatic speech recognition and synthesis but can be used for other purposes as well. One of these is automatic hyphenation of words in various typesetting, page layout and desktop publishing software since the possible word division points in Croatian mostly correlate with syllable boundaries. In this paper, we shall focus on the latter scope. In the paper we shall present the syllabification module for Croatian in NooJ as well as describe its several possible practical implementations by means of integrating NooJ engine in a .NET framework application.
Izvorni jezik
Engleski
Znanstvena područja
Informacijske i komunikacijske znanosti, Filologija