• Refine your search:
  • 
    Keyword
  • 
    Creator / Publisher
  • 
    Year
  • 
    Medium
  • 
    Type
  • 
    BLLDB-Access:
    • free (5)
    • subject to license (0)

Search in the Catalogues and Directories

All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 5 of 5 1 Mining multilingual topics from Wikipedia Xiaochuan Ni; Jian-tao Sun; Jian Hu... In: http://research.microsoft.com/pubs/81536/p1155-ni.pdf (2009) BASE Show details 2 Session 19: Multi-Lingual IR Cross-Lingual Query Suggestion Using Query Logs of Different Languages Wei Gao; Cheng Niu; Jian-yun Nie... In: http://www.iro.umontreal.ca/%7Enie/Publication/gao-sigir-07.pdf BASE Show details 3 Mining Translations of Web Queries from Web Click-through Data Rong Hu; Weizhu Chen; Jian Hu; Yansheng Lu; Zheng Chen; Qiang Yang In: http://www.aaai.org/Papers/AAAI/2008/AAAI08-181.pdf Abstract: Abstract Query translation for Cross-Lingual Information Retrieval (CLIR) has gained increasing attention in the research area. Previous work mainly used machine translation systems, bilingual dictionaries, or web corpora to perform query translation. However, most of these approaches require either expensive language resources or complex language models, and cannot achieve timely translation for new queries. In this paper, we propose a novel solution to automatically acquire query translation pairs from the knowledge hidden in the click-through data, that are represented by the URL a user clicks after submitting a query to a search engine. Our proposed solution consists of two stages: identifying bilingual URL pair patterns in the click-through data and matching query translation pairs based on user click behavior. Experimental results on a real dataset show that our method not only generates existing query translation pairs with high precision, but also generates many timely query translation pairs that could not be obtained by previous methods. A comparative study between our system and two commercial online translation systems shows the advantage of our proposed method. URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1079.8806 http://www.aaai.org/Papers/AAAI/2008/AAAI08-181.pdf BASE Hide details 4 Mining Translations of Web Queries from Web Click-through Data* Rong Hu; Weizhu Chen; Jian Hu... In: http://www.cs.ust.hk/~qyang/Docs/2008/AAAIHuRong.pdf BASE Show details 5 Improving Query Translation for Cross-Language Information Retrieval using a Web-based Approach Jian Hu; Gui-rong Xue; Hua-jun Zeng... In: http://research.microsoft.com/users/jianh/public/clir.pdf BASE Show details

Mobile view All Catalogues UB Frankfurt Linguistik 0 IDS Mannheim 0 OLC Linguistik 0 UB Frankfurt Retrokatalog 0 DNB Subject Category Language 0 Institut für Empirische Sprachwissenschaft 0 Leibniz-Centre General Linguistics (ZAS) 0 Bibliographies BLLDB 0 BDSL 0 IDS Bibliografie zur deutschen Grammatik 0 IDS Bibliografie zur Gesprächsforschung 0 IDS Konnektoren im Deutschen 0 IDS Präpositionen im Deutschen 0 IDS OBELEX meta 0 MPI-SHH Linguistics Collection 0 MPI for Psycholinguistics 0 Linked Open Data catalogues Annohub 0 Online resources Link directory 0 Journal directory 0 Database directory 0 Dictionary directory 0 Open access documents BASE 5 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0