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While the sortal constraints associated with Japanese numeral classifiers are wellstudied, less attention has been paid to the details of their syntax. We describe an analysis implemented within a broadcoverage HPSG that handles an intricate set of numeral classifier construction types and compositionally relates each to an appropriate semantic representation, using Minimal Recursion Semantics.
While the sortal constraints associated with Japanese numeral classifiers are well-studied, less attention has been paid to the details of their syntax. We describe an analysis implemented within a broad-coverage HPSG that handles an intricate set of numeral classifier construction types and compositionally relates each to an appropriate semantic representation, using Minimal Recursion Semantics.
The Deep Linguistic Processing with HPSG Initiative (DELH-IN) provides the infrastructure needed to produce open-source semantic transfer-based machine translation systems. We have made available a prototype Japanese-English machine translation system built from existing resources include parsers, generators, bidirectional grammars and a transfer engine.
Some requirements for a VERBMOBIL system capable of processing Japanese dialogue input have been explored. Based on a pilot study in the VERBMOBIL domain, dialogues between 2 participants and a professional Japanese interpreter have been analyzed with respect to a very typical and frequent feature: zero pronouns. Zero pronouns in Japanese texts or dialogues as well as overt pronouns in English texts or dialogues are an important element of discourse coherence. As to translation, this difference in the use of pronouns is a case of translation mismatch: information not explicitly expressed in the source language is needed in the target language. (Verb argument positions, normally obligatory in English, are rather frequently omitted in Japanese. Furthermore, verbs in Japanese are not marked with respect to features necessary for pronoun selection in English.)
This paper proposes an annotating scheme that encodes honorifics (respectful words). Honorifics are used extensively in Japanese, reflecting the social relationship (e.g. social ranks and age) of the referents. This referential information is vital for resolving zero
pronouns and improving machine translation outputs. Annotating honorifics is a complex task that involves identifying a predicate with honorifics, assigning ranks to referents of the
predicate, calibrating the ranks, and connecting referents with their predicates.
In this text, we describe the development of a broad coverage grammar for Japanese that has been built for and used in different application contexts. The grammar is based on work done in the Verbmobil project (Siegel 2000) on machine translation of spoken dialogues in the domain of travel planning. The second application for JACY was the automatic email response task. Grammar development was described in Oepen et al. (2002a). Third, it was applied to the task of understanding material on mobile phones available on the internet, while embedded in the project DeepThought (Callmeier et al. 2004, Uszkoreit et al. 2004). Currently, it is being used for treebanking and ontology extraction from dictionary definition sentences by the Japanese company NTT (Bond et al. 2004).
Das Problem des Transfers in der maschinellen Übersetzung von Japanisch nach Englisch ist fehlende Information über Numerus und Definitheit im Japanischen, die für die Wahl der englischen Artikel und die Nomenmarkierung gebraucht wird. Obwohl dieses Problem signifikant ist, beschäftigt sich die Forschungsliteratur kaum damit. [...] Wir bsaieren unsere Untersuchungen auf experimentell erhobenen Daten aus einem Experiment über deutsch-japanische gedolmetschte Terminaushandlungsdialoge [...]. Auf diese Weise können Phänomene bestimmt werden, die für die Domäne von VERBMOBIL relevant sind. Wir sehen unser Vorgehen in Übereinstimmung mit dem 'Sublanguage'-Ansatz [...].
Eins der signifikanten Probleme in der maschinellen Übersetzung japanische in deutsche Sprache ist die fehlende Information und Definitheit im japanischen Analyse-Output. Eine effiziente Lösung dieses Problems ist es, die Suche nach der relevanten Information in den Transfer zu integrieren. Transferregeln werden mit Präferenzregeln und Default-Regeln kombiniert. Dadurch wird Information über lexikalische Restriktionen der Zielsprache, über die Domäne und über den Diskurs zugänglich.
Die Domäne in VERBMOBIL sind Terminaushandlungsdialoge. Für die Syntax bedeutet das zunächst, daß die Sytnax sich an gesprochener Sprache orientieren muß. Das beinhaltet Nullanaphern, Phrasen, die auf die Kommunikationssituation bezogen sind und Phrasen, die für geschriebene Sprache als nicht wohlgeformt bezeichnet werden. Weitergehend gibt es einige domänenspezifische syntaktische besonderheiten, wie zum Biepsiel die Realisierung von Zeitangaben.