The applicaton of two-level morphology to non-concatenative German morphology

Trost, Harald

doi:10.3115/997939.998003

Cited by 24 publications

(17 citation statements)

References 4 publications

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“…Other modules implemented using the core formalism include two morphology engines [33], reversible-grammar text generation [31,22], and the surface speech act recognition described in Section Two.…”

Section: Uniform Core Formalismmentioning

confidence: 99%

Abductive speech act recognition, corporate agents, and the COSMA system

Hinkelman¹,

Spackman²

2000

Natural Language Processing

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This chapter presents an overview of the DISCO project's solutions to several problems in natural language pragmatics. Its central focus is on relating utterances to intentions through speech act recognition. Subproblems include the incorporation of linguistic cues into the speech act recognition process, precise and efficient multiagent belief attribution models (Corporate Agents), and speech act representation and processing using Corporate Agents. These ideas are being tested within the COSMA appointment scheduling system, one application of the DISCO natural language interface. Abductive speech act processing in this environment is not far from realizing its potential for fully bidirectional implementation.

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Section: Uniform Core Formalismmentioning

confidence: 99%

Abductive speech act recognition, corporate agents, and the COSMA system

Hinkelman¹,

Spackman²

2000

Natural Language Processing

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“…Two different morphological components incorporating these ideas have been implemented. A first implementation (Trost, 1990) was based on Bear (l988a, 1988b). A short overview of this implementation that follows will give us an opportunity to look at the problems of using rule filters in more detail.…”

Section: System Architecturementioning

confidence: 99%

RECOGNITIONAND GENERATION OF WORD FORMS FOR NATURAL LANGUAGE UNDERSTANDING SYSTEMS: Integrating Two-Level Morphology

Trost

1991

Applied Artificial Intelligence

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A language-independent morphological component for the recognition and generation of word forms is presented. Based on a lexicon of morphs, the approach combines two-level morphology and a feature-based unification grammar describing word formation. To overcome the heavy use of diacritics, feature structures are associated with the two-level rules. These feature structures function as filters for the application ofthe rules. That way information contained in the lexicon and the morphological grammar can guide the application ofthe two-level rules. Moreover, information can be transmitted from the two-level part to the grammar part. This approach allows for a natural description of some nonconcatenative morphological phenomena as well as morphonological phenomena that are restricted to certain word classes in their applicability. The approach is applied to German inflectional and derivational morphology. The component may easily be incorporated into naturallanguage understanding systems and can be especially useful in medical, scientific, or technical languages where it can be used for the automatic processing of compound words.

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“…Cf. Trost [48] . A tillrd possibility would be to simply anticipate the effects of morphophonemics in the specification of paradigms (even if this results in the multiplication of paradigms).…”

Section: Inflectionmentioning

confidence: 99%

“…The two-level approach to inflection may be found in Koskenniemi [32] (for an interesting extension in the direction of feature-based processing, cf. Trost [48]) . This differs from the current proposal in being morpheme-based .…”

Section: Approaches To Inflectionmentioning

confidence: 99%

Feature-Based Inheritance Networks for Computational Lexicons

Krieger¹,

Nerbonne²

1994

Inheritance, Defaults and the Lexicon

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The DFKI conducts application-oriented basic research in the field of artificial intelligence and other related subfields of computer science. The overall goal is to construct systems with technical knowledge and common sense which -by using AI methods -implement a problem solution for a selected application area. Currently, there are the following research areas at the DFKI : o Intelligent Engineering Systems o Intelligent User Interfaces o Intelligent Communication Networks o Intelligent Cooperative Systems.The DFKI strives at making its research results available to the scientific community. There exist many contacts to domestic and foreign research institutions, both in academy and industry. The DFKI hosts technology transfer workshops for shareholders and other interested groups in order to inform about the current state of research.From its beginning, the DFKI has provided an attractive working environment for AI researchers from Germany and from all over the world. The goal is to have a staff of about 100 researchers at the end of the building-up phase.

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The applicaton of two-level morphology to non-concatenative German morphology

Cited by 24 publications

References 4 publications

Abductive speech act recognition, corporate agents, and the COSMA system

Abductive speech act recognition, corporate agents, and the COSMA system

RECOGNITIONAND GENERATION OF WORD FORMS FOR NATURAL LANGUAGE UNDERSTANDING SYSTEMS: Integrating Two-Level Morphology

Feature-Based Inheritance Networks for Computational Lexicons

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