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Kanis, J. and Zahradil, J. and Jurčíček, F. and Müller, L. : Czech-sign speech corpus for semantic based machine translation . Lecture Notes in Artificial Intelligence, Lecture notes in artificial intelligence. 0302-9743 ; 4188, 4188, p. 613-620, Springer , Berlin, 2006.

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Abstract

This paper describes progress in a development of the human-human dialogue corpus for machine translation of spoken language. We have chosen a semantically annotated corpus of phone calls to a train timetable information center. The phone calls consist of inquiries regarding their train traveler plans. Corpus dialogue act tags incorporate abstract semantic meaning. We have enriched a part of the corpus with Sign Speech translation and we have proposed methods how to do automatic machine translation from Czech to Sign Speech using semantic annotation contained in the corpus.

Detail of publication

Title: Czech-sign speech corpus for semantic based machine translation
Author: Kanis, J. ; Zahradil, J. ; Jurčíček, F. ; Müller, L.
Language: English
Date of publication: 11 Sep 2006
Year: 2006
Type of publication: Papers in journals
Title of journal or book: Lecture Notes in Artificial Intelligence
Edition: Lecture notes in artificial intelligence. 0302-9743 ; 4188
Series: 4188
Page: 613 - 620
ISBN: 0302-9743
Publisher: Springer
Address: Berlin
Date: 11 Sep 2006 - 15 Sep 2006
/ 2012-05-25 14:29:57 /

Keywords

sign speech, machine translation, dialogue act tagging

BibTeX

@ARTICLE{KanisJ_2006_Czech-signspeech,
 author = {Kanis, J. and Zahradil, J. and Jur\v{c}\'{i}\v{c}ek, F. and M\"{u}ller, L.},
 title = {Czech-sign speech corpus for semantic based machine translation},
 year = {2006},
 publisher = {Springer },
 journal = {Lecture Notes in Artificial Intelligence},
 address = {Berlin},
 pages = {613-620},
 series = {4188},
 ISBN = {0302-9743},
 url = {http://www.kky.zcu.cz/en/publications/KanisJ_2006_Czech-signspeech},
}