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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 – 5 of 5 1 The ACL RD-TEC: A Dataset for Benchmarking Terminology Extraction and Classification in Computational Linguistics Handschuh, Siegfried; QasemiZadeh, Behrang. - 2014 BASE Show details 2 O processamento automático de línguas naturais enquanto engenharia do conhecimento linguístico Di Felippo, Ariani; Dias-da-Silva, Bento Carlos. - : Editora Unisinos, 2014 BASE Show details 3 Applying Computational Linguistics and Language Models: From Descriptive Linguistics to Text Mining and Psycholinguistics Schneider, Gerold In: Schneider, Gerold. Applying Computational Linguistics and Language Models: From Descriptive Linguistics to Text Mining and Psycholinguistics. 2014, University of Zurich, Faculty of Arts. (2014) BASE Show details 4 Translation memory retrieval methods Bloodgood, Michael; Strauss, Benjamin. - : Association for Computational Linguistics, 2014 Abstract: Translation Memory (TM) systems are one of the most widely used translation technologies. An important part of TM systems is the matching algorithm that determines what translations get retrieved from the bank of available translations to assist the human translator. Although detailed accounts of the matching algorithms used in commercial systems can’t be found in the literature, it is widely believed that edit distance algorithms are used. This paper investigates and evaluates the use of several matching algorithms, including the edit distance algorithm that is believed to be at the heart of most modern commercial TM systems. This paper presents results showing how well various matching algorithms correlate with human judgments of helpfulness (collected via crowdsourcing with Amazon’s Mechanical Turk). A new algorithm based on weighted n-gram precision that can be adjusted for translator length preferences consistently returns translations judged to be most helpful by translators for multiple domains and language pairs. Keyword: Amazon Mechanical Turk; CAT tools; computational linguistics; computer science; computer-aided translation; computer-assisted translation; edit distance; fuzzy match; fuzzy match algorithms; fuzzy match score; fuzzy match score threshold; fuzzy match threshold; human language technology; information retrieval; match length preferences; matching algorithms; modified weighted n-gram precision; n-gram precision; natural language processing; percent match; statistical methods; translation match length preferences; translation match score threshold; translation memory retrieval methods; translation memory systems; translation technology; weighted n-gram precision; weighted percent match URL: http://hdl.handle.net/1903/15528 BASE Hide details 5 Generating an Intelligent Human-Readable Summary of a Shooting Event from a Large Collection of Webpages ; Generating a Summary for a Shooting Event Chandrasekaran, Arjun; Sulucz, Peter; Tran, Jonathan. - 2014 BASE Show details

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