Please use this identifier to cite or link to this item:
doi:10.22028/D291-25319 | Title: | Abstraction and underspecification in semantic transfer |
| Author(s): | Abb, Bernd Buschbeck-Wolf, Bianka Tschernitschek, Christel |
| Language: | English |
| Year of Publication: | 1996 |
| SWD key words: | Künstliche Intelligenz |
| Free key words: | artificial intelligence |
| DDC notations: | 004 Computer science, internet |
| Publikation type: | Report |
| Abstract: | This paper introduces the semantic transfer approach MinT (Minimal Transfer) that has been developed in the speech-to-speech MT system VERBMOBIL. As a unification-based and lexicalist semantic transfer model, it relies on some central ideas of the MRS-based transfer approach outlined in [Copestake et al., 1995]. It differs, however, from the latter in certain aspects: in MinT, the idea of abstraction and underspecification is worked out in much more detail and has been applied to a variety of translation phenomena. MinT relates SL and TL semantic descriptions on a maximally abstract level, which results in simultaneously decreasing the number of transfer rules and leaving a considerable amount of options for lexicalization and grammaticalization up to the generator. To preserve ambiguities that hold across the involved languages MinT processes underspecified semantic representations. |
| Link to this record: | urn:nbn:de:bsz:291-scidok-53144 hdl:20.500.11880/25375 http://dx.doi.org/10.22028/D291-25319 |
| Series name: | Vm-Report / Verbmobil, Verbundvorhaben, [Deutsches Forschungszentrum für Künstliche Intelligenz] |
| Series volume: | 112 |
| Date of registration: | 13-Jun-2013 |
| Faculty: | SE - Sonstige Einrichtungen |
| Department: | SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz |
| Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Files for this record:
| File | Description | Size | Format | |
|---|---|---|---|---|
| report_112_96.pdf | 212,61 kB | Adobe PDF | View/Open |
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