Tóth Krisztina and Farkas Richárd and Kocsor András: Sentence alignment of Hungarian-English parallel corpora using a hybrid algorithm. In: Acta cybernetica, (18) 3. pp. 463-478. (2008)
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Abstract
We present an efficient hybrid method for aligning sentences with their translations in a parallel bilingual corpus. The new algorithm is composed of a length-based and anchor matching method that uses Named Entity recognition. This algorithm combines the speed of length-based models with the accuracy of anchor finding methods. The accuracy of finding cognates for Hungarian-English language pair is extremely low, hence we thought of using a novel approach that includes Named Entity recognition. Due to the well selected anchors it was found to outperform the best two sentence alignment algorithms so far published for the Hungarian-English language pair.
Item Type: | Article |
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Journal or Publication Title: | Acta cybernetica |
Date: | 2008 |
Volume: | 18 |
Number: | 3 |
ISSN: | 0324-721X |
Page Range: | pp. 463-478 |
Language: | English |
Place of Publication: | Szeged |
Event Title: | Conference for PhD Students in Computer Science (5.) (2006) (Szeged) |
Related URLs: | http://acta.bibl.u-szeged.hu/38525/ |
Uncontrolled Keywords: | Számítástechnika, Kibernetika, Algoritmus |
Additional Information: | Bibliogr.: p. 476-477. ; összefoglalás angol nyelven |
Subjects: | 01. Natural sciences 01. Natural sciences > 01.02. Computer and information sciences |
Date Deposited: | 2016. Oct. 15. 12:25 |
Last Modified: | 2022. Jun. 16. 15:53 |
URI: | http://acta.bibl.u-szeged.hu/id/eprint/12830 |
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