Search (629 results, page 2 of 32)

  • × theme_ss:"Computerlinguistik"
  • × type_ss:"a"
  1. Rapp, R.: Text-Detektor : Fehlertolerantes Retrieval ganz einfach (1997) 0.02 
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    Source
    c't. 1997, H.4, S
    Type
    a
  2. Rolland, M.T.: Maschinelle Übersetzung auf der Basis der Logotechnik (1996) 0.02 
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    Source
    LDV-Forum. 13(1996) H.1, S. -
    Type
    a
  3. Rolland, M.T.: Sprachverarbeitung auf der Basis der semantikorientierten Grammatik (1995) 0.02 
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    Source
    LDV-Forum. 12(1995) H.1, S.9-27
    Type
    a
  4. Basili, R.; Pazienza, M.T.; Velardi, P.: ¬An empirical symbolic approach to natural language processing (1996) 0.02 
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    Abstract
    Describes and evaluates the results of a large scale lexical learning system, ARISTO-LEX, that uses a combination of probabilisitc and knowledge based methods for the acquisition of selectional restrictions of words in sublanguages. Presents experimental data obtained from different corpora in different doamins and languages, and shows that the acquired lexical data not only have practical applications in natural language processing, but they are useful for a comparative analysis of sublanguages
    Date
    6. 3.1997 16:22:15
    Type
    a
  5. Riloff, E.: ¬An empirical study of automated dictionary construction for information extraction in three domains (1996) 0.02 
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    Abstract
    AutoSlog is a system that addresses the knowledge engineering bottleneck for information extraction. AutoSlog automatically creates domain specific dictionaries for information extraction, given an appropriate training corpus. Describes experiments with AutoSlog in terrorism, joint ventures and microelectronics domains. Compares the performance of AutoSlog across the 3 domains, discusses the lessons learned and presents results from 2 experiments which demonstrate that novice users can generate effective dictionaries using AutoSlog
    Date
    6. 3.1997 16:22:15
    Type
    a
  6. Haas, S.W.: Natural language processing : toward large-scale, robust systems (1996) 0.02 
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    Abstract
    State of the art review of natural language processing updating an earlier review published in ARIST 22(1987). Discusses important developments that have allowed for significant advances in the field of natural language processing: materials and resources; knowledge based systems and statistical approaches; and a strong emphasis on evaluation. Reviews some natural language processing applications and common problems still awaiting solution. Considers closely related applications such as language generation and th egeneration phase of machine translation which face the same problems as natural language processing. Covers natural language methodologies for information retrieval only briefly
    Type
    a
  7. Hoppe, A.: ¬Die systematischen Grundlagen für ein linguistisch orientiertes maschinelles Dokumentationsverfahren (1969) 0.02 
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    Source
    Nachrichten für Dokumentation. 20(1969) H.4, S.152-162
    Type
    a
  8. Pirkola, A.; Hedlund, T.; Keskustalo, H.; Järvelin, K.: Dictionary-based cross-language information retrieval : problems, methods, and research findings (2001) 0.02 
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    a
  9. Wanner, L.: Lexical choice in text generation and machine translation (1996) 0.02 
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    Date
    31. 7.1996 9:22:19
    Type
    a
  10. Morris, V.: Automated language identification of bibliographic resources (2020) 0.02 
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    Date
    2. 3.2020 19:04:22
    Type
    a
  11. Rieger, F.: Lügende Computer (2023) 0.02 
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    Date
    16. 3.2023 19:22:55
    Type
    a
  12. Kay, M.: ¬The proper place of men and machines in language translation (1997) 0.02 
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    Abstract
    Machine translation stands no chance of filling actual needs for translation because, although there has been progress in relevant areas of computer science, advance in linguistics have not touched the core problems. Cooperative man-machine systems need to be developed, Proposes a translator's amanuensis, incorporating into a word processor some simple facilities peculiar to translation. Gradual enhancements of such a system could lead to the original goal of machine translation
    Content
    Reprint of a Xerox PARC Working Paper which appeared in 1980
    Date
    31. 7.1996 9:22:19
    Footnote
    Contribution to a special issue devoted to the theme of new tools for human translators
    Type
    a
  13. Doszkocs, T.E.; Zamora, A.: Dictionary services and spelling aids for Web searching (2004) 0.02 
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    Abstract
    The Specialized Information Services Division (SIS) of the National Library of Medicine (NLM) provides Web access to more than a dozen scientific databases on toxicology and the environment on TOXNET . Search queries on TOXNET often include misspelled or variant English words, medical and scientific jargon and chemical names. Following the example of search engines like Google and ClinicalTrials.gov, we set out to develop a spelling "suggestion" system for increased recall and precision in TOXNET searching. This paper describes development of dictionary technology that can be used in a variety of applications such as orthographic verification, writing aid, natural language processing, and information storage and retrieval. The design of the technology allows building complex applications using the components developed in the earlier phases of the work in a modular fashion without extensive rewriting of computer code. Since many of the potential applications envisioned for this work have on-line or web-based interfaces, the dictionaries and other computer components must have fast response, and must be adaptable to open-ended database vocabularies, including chemical nomenclature. The dictionary vocabulary for this work was derived from SIS and other databases and specialized resources, such as NLM's Unified Medical Language Systems (UMLS) . The resulting technology, A-Z Dictionary (AZdict), has three major constituents: 1) the vocabulary list, 2) the word attributes that define part of speech and morphological relationships between words in the list, and 3) a set of programs that implements the retrieval of words and their attributes, and determines similarity between words (ChemSpell). These three components can be used in various applications such as spelling verification, spelling aid, part-of-speech tagging, paraphrasing, and many other natural language processing functions.
    Date
    14. 8.2004 17:22:56
    Source
    Online. 28(2004) no.3, S.22-29
    Type
    a
  14. Lein, H.: Aspekte der Realisierung des semantischen Retrievals (1994) 0.02 
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  16. Hahn, U.; Reimer, U.: Informationslinguistische Konzepte der Volltextverarbeitung in TOPIC (1983) 0.02 
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  17. Maas, D.D.: Perspektiven der maschinellen Übersetzung am Beispiel des Saarbrücker Übersetzungssystems SUSY (1984) 0.02 
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  18. Keil, G.C.: SUSY-BSA : ein experimentelles Übersetzungssystem in einer realen Anwendungsumgebung (1984) 0.02 
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