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Cognate production using character-based machine translation
Beinborn, Lisa; Zesch, Torsten; Gurevych, Iryna
Book Chapter
| Aus: Mitkov, Ruslan; Park, Jong C. (Hrsg.): Proceedings of the Sixth International Joint Conference on Natural Language Processing | Nagoya; Japan: Asian Federation of Natural Language Processing | 2013
34039 Endnote
Author(s):
Beinborn, Lisa; Zesch, Torsten; Gurevych, Iryna
Title:
Cognate production using character-based machine translation
In:
Mitkov, Ruslan; Park, Jong C. (Hrsg.): Proceedings of the Sixth International Joint Conference on Natural Language Processing, Nagoya; Japan: Asian Federation of Natural Language Processing, 2013 , S. 883-891
URL:
https://www.ukp.tu-darmstadt.de/fileadmin/user_upload/Group_UKP/publikationen/2013/IJCNLP_cognates_cameraready.pdf
Publication Type:
4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings
Language:
Englisch
Keywords:
Assoziation; Computerlinguistik; Computerprogramm; Computerunterstütztes Verfahren; Englisch; Experiment; Farsi; Fremdwort; Griechisch; Mehrsprachigkeit; Russisch; Training; Übersetzung
Abstract:
Cognates are words in different languages that are associated with each other by language learners. Thus, cognates are important indicators for the prediction of the perceived difficulty of a text. We introduce a method for automatic cognate production using character-based machine translation. We show that our approach is able to learn production patterns from noisy training data and that it works for a wide range of language pairs. It even works across different alphabets, e.g. we obtain good results on the tested language pairs English-Russian, English-Greek, and English-Farsi. Our method performs significantly better than similarity measures used in previous work on cognates.
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