Integrating MultiWordNet with Italian Sign Language lexical resources.

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Title: Integrating MultiWordNet with Italian Sign Language lexical resources.
Authors: Shoaib, U.1 shoaib.umar@gmail.com, Ahmad, N.1 nadeem.ahmad@polito.it, Prinetto, P.1 paolo.prinetto@polito.it, Tiotto, G.1 gabriele.tiotto@polito.it
Source: Expert Systems with Applications. Apr2014, Vol. 41 Issue 5, p2300-2308. 9p.
Subjects: Italian Sign Language, Lexical access, Database management, Semantics, Information technology, Information theory
Abstract: Highlights: [•] Italian Sign Language MultiWordNet integrating (LMWN) is presented. [•] LMWN integrates MultiWordNet (MWN) lexical database with Italian Sign language (LIS). [•] Italian synsets are linked to LIS signs to extract bilingual information from the collected lexicon. [•] Semantic relationships of LIS Signs with MWN are displayed; words existing in DataBase are highlighted. [•] Paper concludes that relatively small size of lexicon can help to cover a significant portion of MWN. [ABSTRACT FROM AUTHOR]
Copyright of Expert Systems with Applications is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Integrating MultiWordNet with Italian Sign Language lexical resources.
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  Data: <searchLink fieldCode="AR" term="%22Shoaib%2C+U%2E%22">Shoaib, U.</searchLink><relatesTo>1</relatesTo><i> shoaib.umar@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Ahmad%2C+N%2E%22">Ahmad, N.</searchLink><relatesTo>1</relatesTo><i> nadeem.ahmad@polito.it</i><br /><searchLink fieldCode="AR" term="%22Prinetto%2C+P%2E%22">Prinetto, P.</searchLink><relatesTo>1</relatesTo><i> paolo.prinetto@polito.it</i><br /><searchLink fieldCode="AR" term="%22Tiotto%2C+G%2E%22">Tiotto, G.</searchLink><relatesTo>1</relatesTo><i> gabriele.tiotto@polito.it</i>
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  Data: <searchLink fieldCode="JN" term="%22Expert+Systems+with+Applications%22">Expert Systems with Applications</searchLink>. Apr2014, Vol. 41 Issue 5, p2300-2308. 9p.
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  Data: <searchLink fieldCode="DE" term="%22Italian+Sign+Language%22">Italian Sign Language</searchLink><br /><searchLink fieldCode="DE" term="%22Lexical+access%22">Lexical access</searchLink><br /><searchLink fieldCode="DE" term="%22Database+management%22">Database management</searchLink><br /><searchLink fieldCode="DE" term="%22Semantics%22">Semantics</searchLink><br /><searchLink fieldCode="DE" term="%22Information+technology%22">Information technology</searchLink><br /><searchLink fieldCode="DE" term="%22Information+theory%22">Information theory</searchLink>
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  Data: Highlights: [•] Italian Sign Language MultiWordNet integrating (LMWN) is presented. [•] LMWN integrates MultiWordNet (MWN) lexical database with Italian Sign language (LIS). [•] Italian synsets are linked to LIS signs to extract bilingual information from the collected lexicon. [•] Semantic relationships of LIS Signs with MWN are displayed; words existing in DataBase are highlighted. [•] Paper concludes that relatively small size of lexicon can help to cover a significant portion of MWN. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Expert Systems with Applications is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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