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Particles fullfill several distinct central roles in the Japanese language. They can mark arguments as well as adjuncts, can be functional or have semantic functions. There is, however, no straightforward matching from particles to functions, as, e.g., 'ga' can mark the subject, the object or the adjunct of a sentence. Particles can cooccur. Verbal arguments that could be identified by particles can be eliminated in the Japanese sentence. And finally, in spoken language particles are often omitted. A proper treatment of particles is thus necessary to make an analysis of Japanese sentences possible. Our treatment is based on an empirical investigation of 800 dialogues. We set up a type hierarchy of particles motivated by their subcategorizational and modificational behaviour. This type hierarchy is part of the Japanese syntax in VERBMOBIL.
The research performed in the DeepThought project aims at demonstrating the potential of deep linguistic processing if combined with shallow methods for robustness. Classical information retrieval is extended by high precision concept indexing and relation detection. On the basis of this approach, the feasibility of three ambitious applications will be demonstrated, namely: precise information extraction for business intelligence; email response management for customer relationship management; creativity support for document production and collective brainstorming. Common to these applications, and the basis for their development is the XML-based, RMRS-enabled core architecture framework that will be described in detail in this paper. The framework is not limited to the applications envisaged in the DeepThought project, but can also be employed e.g. to generate and make use of XML standoff annotation of documents and linguistic corpora, and in general for a wide range of NLP-based applications and research purposes.
Sprachtechnologie für übersetzungsgerechtes Schreiben am Beispiel Deutsch, Englisch, Japanisch
(2009)
Wir [...] haben uns zur Aufgabe gesetzt, Wege zu finden, wie linguistisch basierte Software den Prozess des Schreibens technischer Dokumentation unterstützen kann. Dabei haben wir einerseits die Schwierigkeiten im Blick, die japanische und deutsche Autoren (und andere Nicht-Muttersprachler des Englischen) beim Schreiben englischer Texte haben. Besonders japanische Autoren haben mit Schwierigkeiten zu kämpfen, weil sie hochkomplexe Ideen in einer Sprache ausdrücken müssen, die von Informationsstandpunkt her sehr unterschiedlich zu ihrer Muttersprache ist. Andererseits untersuchen wir technische Dokumentation, die von Autoren in ihrer Muttersprache geschrieben wird. Obwohl hier die fremdsprachliche Komponente entfällt, ist doch auch erhebliches Verbesserungspotential vorhanden. Das Ziel ist hier, Dokumente verständlich, konsistent und übersetzungsgerecht zu schreiben. Der fundamentale Ansatz in der Entwicklung linguistisch-basierter Software ist, dass gute linguistische Software auf Datenmaterial basiert und sich an den konkreten Zielen der besseren Dokumentation orientiert.
Preferences and defaults for definiteness and number in japanese to german machine translation
(1996)
A significant problem when translating Japanese dialogues into German is the missing information on number and definiteness in the Japanese analysis output. The integration of the search for such information into the transfer process provides an efficient solution. General transfer includes conditions to make it possible to consider external knowledge. Thereby, grammatical and lexical knowledge of the source language, knowledge of lexical restrictions on the target language, domain knowledge and discourse knowledge are accessible.
Die Entwicklung eines individuellen Standards „vom grünen Tisch“ führt selten zu zufriedenstellenden Ergebnissen. Bei der automatischen Prüfung stellt man schnell fest, dass die „ausgedachten“ Regeln einer systematischen Anwendung nicht standhalten. Bei der Implementierung solcher Richtlinien stellt man fest, dass sie oft zu wenig konkret formuliert sind, wie z.B. „formulieren Sie Handlungsanweisungen knapp und präzise“. Wie jedoch kann ein Standard entwickelt werden, der zu einem Unternehmen, seiner Branche und Zielgruppen passt und für die automatische Prüfung implementiert werden kann? Sprachtechnologie hilft effizient bei der Entwicklung individueller Richtlinien. Durch Datenanalyse, Satzcluster und Parametrisierung entsteht ein textspezifischer individueller Standard. Ist damit aber der Gegensatz von Kreativität und Standardisierung aufgehoben?
Based on a detailed case study of parallel grammar development distributed across two sites, we review some of the requirements for regression testing in grammar engineering, summarize our approach to systematic competence and performance profiling, and discuss our experience with grammar development for a commercial application. If possible, the workshop presentation will be organized around a software demonstration.
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.
In this paper we describe SOBA, a sub-component of the SmartWeb multi-modal dialog system. SOBA is a component for ontologybased information extraction from soccer web pages for automatic population of a knowledge base that can be used for domainspecific question answering. SOBA realizes a tight connection between the ontology, knowledge base and the information extraction component. The originality of SOBA is in the fact that it extracts information from heterogeneous sources such as tabular structures, text and image captions in a semantically integrated way. In particular, it stores extracted information in a knowledge base, and in turn uses the knowledge base to interpret and link newly extracted information with respect to already existing entities.
We present a solution for the representation of Japanese honorifical information in the HPSG framework. Basically, there are three dimensions of honorification. We show that a treatment is necessary that involves both the syntactic and the contextual level of information. The japanese grammar is part of a machine translation system.
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.