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Autor*innen: Beinborn, Lisa; Zesch, Torsten; Gurevych, Iryna
Titel: Cognate production using character-based machine translation
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 , S. 883-891
URL: https://www.ukp.tu-darmstadt.de/fileadmin/user_upload/Group_UKP/publikationen/2013/IJCNLP_cognates_cameraready.pdf
Dokumenttyp: 4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings
Sprache: Englisch
Schlagwörter: 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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