Search (179 results, page 2 of 9)

  • × theme_ss:"Computerlinguistik"
  • × year_i:[2000 TO 2010}
  1. Barriere, C.: Building a concept hierarchy from corpus analysis (2004) 0.00
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  2. Chung, T.M.: ¬A corpus comparison approach for terminology extraction (2003) 0.00
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  3. Bernth, A.; McCord, M.; Warburton, K.: Terminology extraction for global content management (2003) 0.00
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  4. Atlam, E.S.: Similarity measurement using term negative weight and its application to word similarity (2000) 0.00
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  5. Ekmekcioglu, F.C.; Willett, P.: Effectiveness of stemming for Turkish text retrieval (2000) 0.00
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  6. Hane, P.J.: Beyond keyword searching : Oingo and Simpli.com introduce meaning-based searching (2000) 0.00
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  7. Humphreys, K.; Demetriou, G.; Gaizauskas, R.: Bioinformatics applications of information extraction from scientific journal articles (2000) 0.00
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  8. Notess, G.R.: Up and coming search technologies (2000) 0.00
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  9. Perez-Carballo, J.; Strzalkowski, T.: Natural language information retrieval : progress report (2000) 0.00
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  10. Patrick, J.; Zhang, J.; Artola-Zubillaga, X.: ¬An architecture and query language for a federation of heterogeneous dictionary databases (2000) 0.00
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  11. Nielsen, M.L.: ¬The word association method (2002) 0.00
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  12. Pirkola, A.; Hedlund, T.; Keskustalo, H.; Järvelin, K.: Dictionary-based cross-language information retrieval : problems, methods, and research findings (2001) 0.00
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  13. Nakagawa, H.; Mori, T.: Automatic term recognition based an statistics of compound nouns and their components (2003) 0.00
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  14. Sicilia-Garcia, E.I.; Smith, F.J.: Statistical language modeling (2002) 0.00
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  15. Bakar, Z.A.; Sembok, T.M.T.; Yusoff, M.: ¬An evaluation of retrieval effectiveness using spelling-correction and string-similarity matching methods on Malay texts (2000) 0.00
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    Abstract
    This article evaluates the effectiveness of spelling-correction and string-similarity matching methods in retrieving similar words in a Maly dictionary associated with a set of query words. The spelling-correction techniques used are SPEEDCOP, Soundex, Davidson, Phonic, and Hartlib. 2 dynamic-programming methods that measure longest common subsequence and edit-cost-distance are used. Several search combinations od query and doctionary words are performed in the experiments, the best being one that stems both query and dictionary words using an existing Malay stemming algorithm. the retrieval effectivness (E) and retrieved and relevant (R&R) mean measure are calculated from weighted combination of recall and precision values. Results from these experiments are then compared with available diagram, a string-similarity method. The best R&R and E results are given by using diagram. Editcost-distances produce the best E results, and both dynamic-programming methods rank second in finding R&R mean measures
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  16. Ding, Y.; Chowdhury, G.C.; Foo, S.: Incorporating the results of co-word analyses to increase search variety for information retrieval (2000) 0.00
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  17. Godby, C.J.: ¬Two Techniques for the Identification of Phrases in Full Text (2001) 0.00
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  18. Godby, C.J.; Reighart, R.R.: ¬The WordSmith Toolkit (2001) 0.00
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  19. Normore, L.F.: Using Visualization to Understand Phrase Structure (2001) 0.00
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  20. Godby, C.J.; Reighart, R.R.: ¬The WordSmith Indexing System (2001) 0.00
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Authors

Languages

  • e 165
  • d 14
  • m 2
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Types

  • a 156
  • m 17
  • s 9
  • el 8
  • x 4
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