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  • × theme_ss:"Computerlinguistik"
  1. Proszeky, G.: Language technology tools in the translator's practice (1999) 0.01 
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    Date
    30. 3.2002 18:29:40
  2. McMahon, J.G.; Smith, F.J.: Improved statistical language model performance with automatic generated word hierarchies (1996) 0.01 
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    Source
    Computational linguistics. 22(1996) no.2, S.217-248
  3. Somers, H.: Example-based machine translation : Review article (1999) 0.01 
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    Date
    31. 7.1996 9:22:19
  4. New tools for human translators (1997) 0.01 
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    Date
    31. 7.1996 9:22:19
  5. Baayen, R.H.; Lieber, H.: Word frequency distributions and lexical semantics (1997) 0.01 
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    Date
    28. 2.1999 10:48:22
  6. ¬Der Student aus dem Computer (2023) 0.01 
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    Date
    27. 1.2023 16:22:55
  7. Martínez, F.; Martín, M.T.; Rivas, V.M.; Díaz, M.C.; Ureña, L.A.: Using neural networks for multiword recognition in IR (2003) 0.01 
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    Abstract
    In this paper, a supervised neural network has been used to classify pairs of terms as being multiwords or non-multiwords. Classification is based an the values yielded by different estimators, currently available in literature, used as inputs for the neural network. Lists of multiwords and non-multiwords have been built to train the net. Afterward, many other pairs of terms have been classified using the trained net. Results obtained in this classification have been used to perform information retrieval tasks. Experiments show that detecting multiwords results in better performance of the IR methods.
  8. Meng, K.; Ba, Z.; Ma, Y.; Li, G.: ¬A network coupling approach to detecting hierarchical linkages between science and technology (2024) 0.01 
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    Abstract
    Detecting science-technology hierarchical linkages is beneficial for understanding deep interactions between science and technology (S&T). Previous studies have mainly focused on linear linkages between S&T but ignored their structural linkages. In this paper, we propose a network coupling approach to inspect hierarchical interactions of S&T by integrating their knowledge linkages and structural linkages. S&T knowledge networks are first enhanced with bidirectional encoder representation from transformers (BERT) knowledge alignment, and then their hierarchical structures are identified based on K-core decomposition. Hierarchical coupling preferences and strengths of the S&T networks over time are further calculated based on similarities of coupling nodes' degree distribution and similarities of coupling edges' weight distribution. Extensive experimental results indicate that our approach is feasible and robust in identifying the coupling hierarchy with superior performance compared to other isomorphism and dissimilarity algorithms. Our research extends the mindset of S&T linkage measurement by identifying patterns and paths of the interaction of S&T hierarchical knowledge.
  9. Hsinchun, C.: Knowledge-based document retrieval framework and design (1992) 0.01 
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    Abstract
    Presents research on the design of knowledge-based document retrieval systems in which a semantic network was adopted to represent subject knowledge and classification scheme knowledge and experts' search strategies and user modelling capability were modelled as procedural knowledge. These functionalities were incorporated into a prototype knowledge-based retrieval system, Metacat. Describes a system, the design of which was based on the blackboard architecture, which was able to create a user profile, identify task requirements, suggest heuristics-based search strategies, perform semantic-based search assistance, and assist online query refinement
  10. Ferret, O.; Grau, B.; Masson, N.: Utilisation d'un réseau de cooccurences lexikales pour a méliorer une analyse thématique fondée sur la distribution des mots (1999) 0.01 
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    Footnote
    Übers. d. Titels: Use of a network of lexical co-occurences to improve a thematic analysis based on distribution of words
  11. Zue, V.: Dein Computer spricht mir dir (1999) 0.01 
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    Date
    31.12.1996 19:29:41
  12. Mustafa El Hadi, W.: Evaluating human language technology : general applications to information access and management (2002) 0.01 
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    Source
    Knowledge organization. 29(2002) nos.3/4, S.124-134
  13. Müller, P.: Text-Automat mit Tücken (2023) 0.01 
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    Source
    Pirmasenser Zeitung. Nr. 29 vom 03.02.2023, S.2
  14. Byrne, C.C.; McCracken, S.A.: ¬An adaptive thesaurus employing semantic distance, relational inheritance and nominal compound interpretation for linguistic support of information retrieval (1999) 0.01 
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    Date
    15. 3.2000 10:22:37
  15. Boleda, G.; Evert, S.: Multiword expressions : a pain in the neck of lexical semantics (2009) 0.01 
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    Date
    1. 3.2013 14:56:22
  16. Monnerjahn, P.: Vorsprung ohne Technik : Übersetzen: Computer und Qualität (2000) 0.01 
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    Source
    c't. 2000, H.22, S.230-231
  17. Lian, T.; Yu, C.; Wang, W.; Yuan, Q.; Hou, Z.: Doctoral dissertations on tourism in China : a co-word analysis (2016) 0.01 
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    Abstract
    The aim of this paper is to map the foci of research in doctoral dissertations on tourism in China. In the paper, coword analysis is applied, with keywords coming from six public dissertation databases, i.e. CDFD, Wanfang Data, NLC, CALIS, ISTIC, and NSTL, as well as some university libraries providing doctoral dissertations on tourism. Altogether we have examined 928 doctoral dissertations on tourism written between 1989 and 2013. Doctoral dissertations on tourism in China involve 36 first level disciplines and 102 secondary level disciplines. We collect the top 68 keywords of practical significance in tourism which are mentioned at least four times or more. These keywords are classified into 12 categories based on co-word analysis, including cluster analysis, strategic diagrams analysis, and social network analysis. According to the strategic diagram of the 12 categories, we find the mature and immature areas in tourism study. From social networks, we can see the social network maps of original co-occurrence matrix and k-cores analysis of binary matrix. The paper provides valuable insight into the study of tourism by analyzing doctoral dissertations on tourism in China.
  18. Griffiths, T.L.; Steyvers, M.: ¬A probabilistic approach to semantic representation (2002) 0.01 
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    Date
    29. 6.2015 14:55:01
    29. 6.2015 16:09:05
  19. Czejdo. B.D.; Tucci, R.P.: ¬A dataflow graphical language for database applications (1994) 0.01 
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    Date
    20.10.2000 13:29:46
  20. Wenzel, F.: Semantische Eingrenzung im Freitext-Retrieval auf der Basis morphologischer Segmentierungen (1980) 0.01 
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    Source
    Nachrichten für Dokumentation. 31(1980) H.1, S.29-35

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