|
|
Eingang zum VolltextHome | Suche | Browsen |
||||||||||||||||||||||||||||||
|
Lizenz
Bitte beziehen Sie sich beim Zitieren dieses Dokumentes immer auf folgende URN: urn:nbn:de:kobv:517-opus-27115 URL: http://opus.kobv.de/ubp/volltexte/2008/2711/ Barbaiani, Mădălina ; Cancedda, Nicola ; Dance , Chris ; Fazekas, Szilárd ; Gaál, Tamás ; Gaussier, Éric
Asymmetric term alignment with selective contiguity constraints by multi-tape automata
Kurzfassung auf DeutschThis article describes a HMM-based word-alignment method that can selectively enforce a contiguity constraint. This method has a direct application in the extraction of a bilingual terminological lexicon from a parallel corpus, but can also be used as a preliminary step for the extraction of phrase pairs in a Phrase-Based Statistical Machine Translation system. Contiguous source words composing terms are aligned to contiguous target language words. The HMM is transformed into a Weighted Finite State Transducer (WFST) and contiguity constraints are enforced by specific multi-tape WFSTs. The proposed method is especially suited when basic linguistic resources (morphological analyzer, part-of-speech taggers and term extractors) are available for the source language only.
| |||||||||||||||||||||||||||||||
|
Home | Leitlinien | Impressum | Haftungsausschluss | Statistik | Universitätsverlag | Universitätsbibliothek
| |||||||||||||||||||||||||||||||