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Pregled bibliografske jedinice broj: 516695

Towards Obtaining High Quality Sentence-Aligned English-Croatian Parallel Corpus


Brkić, Marija; Matetić, Maja; Seljan, Sanja
Towards Obtaining High Quality Sentence-Aligned English-Croatian Parallel Corpus // Proceedings of the 4th IEEE International Conference on Computer Science and Information Technology ICCSIT 2011
Chengdu, China, 2011. str. 1068-1070 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Towards Obtaining High Quality Sentence-Aligned English-Croatian Parallel Corpus

Autori
Brkić, Marija ; Matetić, Maja ; Seljan, Sanja

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 4th IEEE International Conference on Computer Science and Information Technology ICCSIT 2011 / - Chengdu, China, 2011, 1068-1070

Skup
4th IEEE International Conference on Computer Science and Information Technology ICCSIT 2011

Mjesto i datum
Sečuan, Kina, 10-12.06.2011.

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Sentence alignment ; alignment tools ; sentence alignment evaluation ; parallel corpus ; sentence-length ; word-correspondence

Sažetak
This paper presents the acquisition of parallel bilingual corpus and all the steps involved in the process of unsupervised sentence alignment, such as tokenization, lowercasing, etc. The problem of sentence alignment is not trivial because translators do not necessarily translate one sentence in the source language into one sentence in the target language. Three different unsupervised and language independent approaches to sentence alignment are presented and implementations of these approaches through three different freely available tools are tested. A gold standard for English-Croatian automatic sentence alignment evaluation is created. Finally, a detailed analysis of the acquired corpus is given.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti



POVEZANOST RADA


Projekt / tema
130-1300646-0909 - Informacijska tehnologija u prevođenju hrvatskoga i e-učenju jezika (Sanja Seljan, )
318-0361935-0852 - Govorne tehnologije (Ivo Ipšić, )

Ustanove
Filozofski fakultet, Zagreb,
Sveučilište u Rijeci - Odjel za informatiku