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The Karlsruhe Institute of Technology Translation Systems for the WMT 2015

Cho, Eunah 1; Ha, Thanh-Le 1; Niehues, Jan ORCID iD icon 1; Herrmann, Teresa 1; Mediani, Mohammed 1; Zhang, Yuqi 1; Waibel, Alex 1
1 Institut für Anthropomatik und Robotik (IAR), Karlsruher Institut für Technologie (KIT)

Abstract:

In this paper, the KIT systems submitted to the Shared Translation Task are presented.
We participated in two translation directions: from German to English and from
English to German. Both translations are generated using phrase-based translation
systems. The performance of the systems was boosted by using language models built
based on different tokens such as word, part-of-speech, and automacally generated word clusters. The difference in word order between German and English is addressed by part-of-speech and syntactic tree-based reordering models. In addition to a discriminative word lexicon, we used hypothesis rescoring using the ListNet algorithm after generating the translation with the phrase-based system. We evaluated the rescoring using only the baseline features as well as using additional computational complex features.


Verlagsausgabe §
DOI: 10.5445/IR/1000051086
Veröffentlicht am 06.06.2025
Originalveröffentlichung
DOI: 10.18653/v1/W15-3008
Scopus
Zitationen: 2
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Anthropomatik und Robotik (IAR)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2015
Sprache Englisch
Identifikator ISBN: 978-1-941643-32-7
KITopen-ID: 1000051086
Erschienen in EMNLP 2015 : Proceedings of the 10th Workshop on Statistical Machine Translation (WMT), September 17-18 2015, Lisboa, Portugal. Ed.: O. Bojar
Veranstaltung 10th ACL Workshop on Statistical Machine Translation (WMT 2015), Lissabon, Portugal, 17.09.2015 – 18.09.2015
Verlag Association for Computational Linguistics (ACL)
Seiten 92-97
Externe Relationen Siehe auch
Nachgewiesen in OpenAlex
Scopus
Dimensions
Globale Ziele für nachhaltige Entwicklung Ziel 10 – Weniger Ungleichheiten
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