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A Reusable Lexical Database Tool for Machine Translation

  • This paper describes the lexical database tool LOLA (Linguistic-Oriented Lexical database Approach) which has been developed for the construction and maintenance of lexicons for the machine translation system LMT. First, the requirements such a tool should meet are discussed, then LMT and the lexical information it requires, and some issues concerning vocabulary acquisition are presented. Afterwards the architecture and the components of the LOLA system are described and it is shown how we tried to meet the requirements worked out earlier. Although LOLA originally has been designed and implemented for the German-English LMT prototype, it aimed from the beginning at a representation of lexical data that can be reused for other LMT or MT prototypes or even other NLP applications. A special point of discussion will therefore be the adaptability of the tool and its components as well as the reusability of the lexical data stored in the database for the lexicon development for LMT or for other applications.

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Author:Brigitte Bläser, Ulrike Schwall, Angelika Storrer
Parent Title (Multiple languages):Proceedings of the Fifteenth International Conference on Computational Linguistics COLING 92, Nantes, France, August 23-28, 1992, vol. 2
Parent Title (French):Actes du quinzième colloque international en linguistique informatique
Publisher:International Committee on Computational Linguistics
Place of publication:Morristown
Document Type:Conference Proceeding
Year of first Publication:1992
Date of Publication (online):2017/10/25
Creating Corporation:International Committee on Computational Linguistics
GND Keyword:Computerprogramm; Computerunterstützte Lexikografie; Datenbank; Deutsch; Englisch; Maschinelle Sprachverarbeitung; Maschinelle Übersetzung
First Page:510
Last Page:516
DDC classes:400 Sprache / 400 Sprache, Linguistik
Open Access?:ja
BDSL-Classification:Lexikographie, Wörterbücher
Leibniz-Classification:Sprache, Linguistik
Licence (German):License LogoCreative Commons - Namensnennung 3.0 Deutschland