OPUS 4 | Linguistik

Almanca Dilbilgisi Dersleri ve Uygulamaya Yönelik Bir Öneri (1997)

Mehmet Gündoğdu

An HSPG-to-CFG Approximation of Japanese (2000)

Bernd Kiefer Hans-Ulrich Krieger Melanie Siegel

We present a simple approximation method for turning a Head-Driven Phrase Structure Grammar into a context-free grammar. The approximation method can be seen as the construction of the least fixpoint of a certain monotonic function. We discuss an experiment with a large HPSG for Japanese.

An Integrated Architecture for Shallow and Deep Processing (2002)

Berthold Crysmann Anette Frank Bernd Kiefer Stefan Müller Günter Neumann Jakub Piskorski Ulrich Schäfer Melanie Siegel Hans Uszkoreit Feiyu Xu Markus Becker Hans-Ulrich Krieger

We present an architecture for the integration of shallow and deep NLP components which is aimed at flexible combination of different language technologies for a range of practical current and future applications. In particular, we describe the integration of a high-level HPSG parsing system with different high-performance shallow components, ranging from named entity recognition to chunk parsing and shallow clause recognition. The NLP components enrich a representation of natural language text with layers of new XML meta-information using a single shared data structure, called the text chart. We describe details of the integration methods, and show how information extraction and language checking applications for realworld German text benefit from a deep grammatical analysis.

Annotating Honorifics Denoting Social Ranking of Referents (2005)

Shigeko Nariyama Hiromi Nakaiwa Melanie Siegel

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.

Autorenunterstützung für die Maschinelle Übersetzung (2011)

Melanie Siegel

Der Übersetzungsprozess der Technischen Dokumentation wird zunehmend mit Maschineller Übersetzung (MÜ) unterstützt. Wir blicken zunächst auf die Ausgangstexte und erstellen automatisch prüfbare Regeln, mit denen diese Texte so editiert werden können, dass sie optimale Ergebnisse in der MÜ liefern. Diese Regeln basieren auf Forschungsergebnissen zur Übersetzbarkeit, auf Forschungsergebnissen zu Translation Mismatches in der MÜ und auf Experimenten.

Colloque sur le métissage : unité et pluralité du français - langue et culture - à l’heure de la mondialisation ; le 22 septembre 2006 (2007)

Corpora and evaluation tools for multilingual named entity grammar development (2003)

Christian Bering Witold Droźdźyński Gregor Erbach Clara Guasch Petr Homola Sabine Lehmann Hong Li Hans-Ulrich Krieger Jakub Piskorski Ulrich Schäfer Atsuko Shimada Melanie Siegel Feiyu Xu Dorothee Ziegler-Eisele

We present an effort for the development of multilingual named entity grammars in a unification-based finite-state formalism (SProUT). Following an extended version of the MUC7 standard, we have developed Named Entity Recognition grammars for German, Chinese, Japanese, French, Spanish, English, and Czech. The grammars recognize person names, organizations, geographical locations, currency, time and date expressions. Subgrammars and gazetteers are shared as much as possible for the grammars of the different languages. Multilingual corpora from the business domain are used for grammar development and evaluation. The annotation format (named entity and other linguistic information) is described. We present an evaluation tool which provides detailed statistics and diagnostics, allows for partial matching of annotations, and supports user-defined mappings between different annotation and grammar output formats.

Customizing GermaNet for the Use in Deep Linguistic Processing (2001)

Melanie Siegel Feiyu Xu Günter Neumann

In this paper we show an approach to the customization of GermaNet to the German HPSG grammar lexicon developed in the Verbmobil project. GermaNet has a broad coverage of the German base vocabulary and fine-grained semantic classification; while the HPSG grammar lexicon is comparatively small und has a coarse-grained semantic classification. In our approach, we have developed a mapping algorithm to relate the synsets in GermaNet with the semantic sorts in HPSG. The evaluation result shows that this approach is useful for the lexical extension of our deep grammar development to cope with real-world text understanding.

Efficient Deep Processing of Japanese (2002)

Melanie Siegel Emily M. Bender

We present a broad coverage Japanese grammar written in the HPSG formalism with MRS semantics. The grammar is created for use in real world applications, such that robustness and performance issues play an important role. It is connected to a POS tagging and word segmentation tool. This grammar is being developed in a multilingual context, requiring MRS structures that are easily comparable across languages.

Generating and Visualizing a Soccer Knowledge Base (2006)

Paul Buitelaar Thomas Eigner Greg Gulrajani Alexander Schutz Melanie Siegel Nicolas Weber Philipp Cimiano Günter Ladwig Matthias Mantel Honggang Zhu

This demo abstract describes the SmartWeb Ontology-based Information Extraction System (SOBIE). A key feature of SOBIE is that all information is extracted and stored with respect to the SmartWeb ontology. In this way, other components of the systems, which use the same ontology, can access this information in a straightforward way. We will show how information extracted by SOBIE is visualized within its original context, thus enhancing the browsing experience of the end user.

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