User adaptation in a hybrid MT system: Feeding user corrections into synchronous grammars and system dictionaries

Preuss, S; Keffer, H; Schmidt, P; Goumas, G; Asiki, A; Konstantinou, I

dc.contributor.author	Preuss, S	en
dc.contributor.author	Keffer, H	en
dc.contributor.author	Schmidt, P	en
dc.contributor.author	Goumas, G	en
dc.contributor.author	Asiki, A	en
dc.contributor.author	Konstantinou, I	en
dc.date.accessioned	2014-03-01T02:54:04Z
dc.date.available	2014-03-01T02:54:04Z
dc.date.issued	2012	en
dc.identifier.issn	03029743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/36568
dc.subject.other	Bilingual corpora	en
dc.subject.other	Core systems	en
dc.subject.other	Experimental evaluation	en
dc.subject.other	Rule based	en
dc.subject.other	Runtimes	en
dc.subject.other	Source language	en
dc.subject.other	Structural mapping	en
dc.subject.other	Synchronous grammars	en
dc.subject.other	System behaviors	en
dc.subject.other	Target language	en
dc.subject.other	Translation systems	en
dc.subject.other	User adaptation	en
dc.subject.other	User feedback	en
dc.subject.other	Artificial intelligence	en
dc.subject.other	Software agents	en
dc.title	User adaptation in a hybrid MT system: Feeding user corrections into synchronous grammars and system dictionaries	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-642-32790-2_44	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-642-32790-2_44	en
heal.publicationDate	2012	en
heal.abstract	In this paper we present the User Adaptation (UA) module implemented as part of a novel Hybrid MT translation system. The proposed UA module allows the user to enhance core system components such as synchronous grammars and system dictionaries at run-time. It is well-known that allowing users to modify system behavior raises the willingness to work with MT systems. However, in statistical MT systems user feedback is only 'a drop in the ocean' in the statistical resources. The hybrid MT system proposed here uses rule-based synchronous grammars that are automatically extracted out of small parallel annotated bilingual corpora. They account for structural mappings from source language to target language. Subsequent monolingual statistical components further disambiguate the target language structure. This approach provides a suitable substrate to incorporate a lightweight and effective UA module. User corrections are collected from a post-editing engine and added to the bilingual corpus, whereas the resulting additional structural mappings are provided to the system at run-time. Users can also enhance the system dictionary. User adaptation is organized in a user-specific commit-and-review cycle that allows the user to revise user adaptation input. Preliminary experimental evaluation shows promising results on the capability of the system to adapt to user structural preferences. © 2012 Springer-Verlag.	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
dc.identifier.doi	10.1007/978-3-642-32790-2_44	en
dc.identifier.volume	7499 LNAI	en
dc.identifier.spage	362	en
dc.identifier.epage	369	en