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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 – 6 of 6 1 Foreign language peace of mind: a positive emotion drawn from the Chinese EFL learning context Zhou, L.; Dewaele, Jean-Marc; Lochtman, K.. - : De Gruyter, 2021 BASE Show details 2 Succession in Chinese family-SMEs: a gendered analysis of successor learning and development Mustafa, M.; Elliott, C.; Zhou, L.. - : Informa UK Limited, 2019 BASE Show details 3 Learning to read in Chinese: Evidence for reciprocal relationships between word reading and oral language skills Hulme, C; Zhou, L; Tong, X. - 2018 BASE Show details 4 Measurement of the muon reconstruction performance of the ATLAS detector using 2011 and 2012 LHC proton-proton collision data. Aad, G; Abbott, B; Abdallah, J... In: Symplectic Elements at Oxford ; Europe PubMed Central ; PubMed (http://www.ncbi.nlm.nih.gov/pubmed/) ; Web of Science (Lite) (http://apps.webofknowledge.com/summary.do) ; Scopus (http://www.scopus.com/home.url) ; CrossRef (2014) BASE Show details 5 Data Mining for Detecting Errors in Dictation Speech Recognition Zhou, L.; Shi, Y.; Feng, J.... In: Institute of Electrical and Electronics Engineers. IEEE transactions on speech and audio processing. - New York, NY : Inst. 13 (2005) 5, 681-688 OLC Linguistik Show details 6 SemEQUAL: Multilingual Semantic Matching in Relational Systems Haritsa, Jayant R; Kumaran, A. - : Springer Verlag, 2005 Abstract: In an increasingly multilingual world, it is critical that information management tools organically support the simultaneous use of multiple natural languages.A pre-requisite for efficiently achieving this goal is that the underlying database engines must provide seamless matching of text data across languages. We propose here SemEQUAL, a new SQL functionality for semantic matching of multilingual attribute data. Our current implementation defines matches based on the standard WordNet linguistic ontologies. A performance evaluation of SemEQUAL, implemented using standard SQL:1999 features on a suite of commercial database systems indicates unacceptably slow response times. However, by tuning the schema and index choices to match typical linguistic features, we show that the performance can be improved to a level commensurate with online user interaction. Keyword: Computer Science & Automation (Formerly; School of Automation); Supercomputer Education & Research Centre URL: http://eprints.iisc.ernet.in/9846/ http://eprints.iisc.ernet.in/9846/1/SemEQUAL_Feb15th.pdf BASE Hide details

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