Search (6 results, page 1 of 1)

  • × theme_ss:"Computerlinguistik"
  • × theme_ss:"Multilinguale Probleme"
  • × year_i:[1990 TO 2000}
  1. Senez, D.: Developments in Systran (1995) 0.00 
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    Abstract
    Systran, the European Commission's multilingual machine translation system, is a fast service which is available to all Commission officials. The computer cannot match the skills of the professional translator, who must continue to be responsible for all texts which are legally binding or which are for publication. But machine translation can deal, in a matter of minutes, with short-lived documents, designed, say, for information or preparatory work, and which are required urgently. It can also give a broad view of a paper in an unfamiliar language, so that an official can decide how much, if any, of it needs to go to translators
    Type
    a
  2. Gopestake, A.: Acquisition of lexical translation relations from MRDS (1994/95) 0.00 
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    Abstract
    Presents a methodology for extracting information about lexical translation equivalences from the machine readable versions of conventional dictionaries (MRDs), and describes a series of experiments on semi automatic construction of a linked multilingual lexical knowledge base for English, Dutch and Spanish. Discusses the advantage and limitations of using MRDs that this has revealed, and some strategies developed to cover gaps where direct translation can be found
    Type
    a
  3. Gonzalo, J.; Verdejo, F.; Peters, C.; Calzolari, N.: Applying EuroWordNet to cross-language text retrieval (1998) 0.00 
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    Type
    a
  4. Lonsdale, D.; Mitamura, T.; Nyberg, E.: Acquisition of large lexicons for practical knowledge-based MT (1994/95) 0.00 
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    Abstract
    Although knowledge based MT systems have the potential to achieve high translation accuracy, each successful application system requires a large amount of hand coded lexical knowledge. Systems like KBMT-89 and its descendants have demonstarted how knowledge based translation can produce good results in technical domains with tractable domain semantics. Nevertheless, the magnitude of the development task for large scale applications with 10s of 1000s of of domain concepts precludes a purely hand crafted approach. The current challenge for the next generation of knowledge based MT systems is to utilize online textual resources and corpus analysis software in order to automate the most laborious aspects of the knowledge acquisition process. This partial automation can in turn maximize the productivity of human knowledge engineers and help to make large scale applications of knowledge based MT an viable approach. Discusses the corpus based knowledge acquisition methodology used in KANT, a knowledge based translation system for multilingual document production. This methodology can be generalized beyond the KANT interlinhua approach for use with any system that requires similar kinds of knowledge
    Type
    a
  5. Peters, W.; Vossen, P.; Diez-Orzas, P.; Adriaens, G.: Cross-linguistic alignment of WordNets with an inter-lingual-index (1998) 0.00 
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    Type
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  6. Pollitt, A.S.; Ellis, G.: Multilingual access to document databases (1993) 0.00 
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    Abstract
    This paper examines the reasons why approaches to facilitate document retrieval which apply AI (Artificial Intelligence) or Expert Systems techniques, relying on so-called "natural language" query statements from the end-user will result in sub-optimal solutions. It does so by reflecting on the nature of language and the fundamental problems in document retrieval. Support is given to the work of thesaurus builders and indexers with illustrations of how their work may be utilised in a generally applicable computer-based document retrieval system using Multilingual MenUSE software. The EuroMenUSE interface providing multilingual document access to EPOQUE, the European Parliament's Online Query System is described.
    Source
    Information as a Global Commodity - Communication, Processing and Use (CAIS/ACSI '93) : 21st Annual Conference Canadian Association for Information Science, Antigonish, Nova Scotia, Canada. July 1993
    Type
    a

Authors