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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 – 7 of 7 1 KELVIN: a tool for automated knowledge base construction ... McNamee, Paul; Mayfield, James; Finin, Tim. - : My University, 2013 BASE Show details 2 A Context-Aware Approach to Entity Linking ... Stoyanov, Veselin; Mayfield, James; Xu, Tan. - : Association for Computational Linguistics, 2012 BASE Show details 3 Mandarin-English Information (MEI) : investigating translingual speech retrieval Meng, Helen; Chen, Berlin; Khudanpur, Sanjeev... In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 18 (2004) 2, 163-179 BLLDB Show details 4 Les dictionnaires électroniques Zock, Michael (Hrsg.); Carroll, John (Hrsg.); Baldwin, Timothy (Mitarb.)... In: Traitement automatique des langues. - Saint-Cloud : ATALA 44 (2003) 2, 7-245 BLLDB Show details 5 Parsing and Tagging of Bilingual Dictionary Ma, Huanfeng; Karagol-Ayan, Burcu; Doermann, David... In: DTIC (2003) BASE Show details 6 Parsing and Tagging of Binlingual Dictionary Ma, Huanfeng; Karagol-Ayan, Burcu; Doermann, David; Oard, Doug; Wang, Jianqiang In: DTIC (2003) Abstract: Bilingual dictionaries hold great potential as a source of lexical resources for training and testing automated systems for optical character recognition, machine translation, and cross-language information retrieval. In this paper, we describe a system for extracting term lexicons from printed bilingual dictionaries. Our work was divided into three phases - dictionary segmentation, entry tagging, and generation. In segmentation, pages are divided into logical entries based on structural features learned from selected examples. The extracted entries are associated with functional labels and passed to a tagging module which associates linguistic labels with each word or phrase in the entry. The output of the system is a structure that represents the entries from the dictionary. We have used this approach to parse a variety of dictionaries with both Latin and non-Latin alphabets, and demonstrate the results of term lexicon generation for retrieval from a collection of French news stories using English queries. ; The original document contains color images. Additional reports nos. are CS-TR-4529 and UMIACS-TR-2003-97 Keyword: *BILINGUAL DICTIONARIES; *CROSS-LANGUAGE IR; *DICTIONARIES; *ENGLISH LANGUAGE; *LEXICOGRAPHY; *LINGUISTICS; AUTOMATION; Information Science; INTERROGATION; LABELS; Linguistics; LOGICAL ANALYSIS; MACHINE TRANSLATION; OCR; OPTICAL CHARACTER RECOGNITION; OUTPUT; PAGE SEGMENTATION; PARSERS; RESOURCES; SEGMENTED; SOURCES; VOCABULARY URL: http://www.dtic.mil/docs/citations/ADA452407 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA452407 BASE Hide details 7 Multilingual (or cross-lingual) information retrieval Klavans, Judith L. (Hrsg.); Hovy, Eduard (Hrsg.); Fluhr, Christian (Mitarb.)... In: Multilingual information management. - Pisa [u.a.] : Ist. Ed. e Poligrafici Internazionli (2001), 35-56 BLLDB Show details

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