Towards semantically linked multilingual corpus
Multilingual information processing gains more and more attention in recent years with the development of information globalization. Multilingual corpus is a key challenge for multilingual information extraction, analysis, management and service in a wide range of systems. This work addresses on the...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Junsheng Zhang [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015 |
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| Rechteinformationen: |
Nutzungsrecht: © COPYRIGHT 2015 Elsevier B.V. |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: International journal of information management - Oxford : Elsevier, 1986, 35(2015), 3, Seite 387-395 |
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| Übergeordnetes Werk: |
volume:35 ; year:2015 ; number:3 ; pages:387-395 |
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10.1016/j.ijinfomgt.2015.01.004 |
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10.1016/j.ijinfomgt.2015.01.004 doi PQ20160617 (DE-627)OLC1968448071 (DE-599)GBVOLC1968448071 (PRQ)c1823-b0151a18853d4131861fdef4cad599ac851879d204076b034634e9af1c0eaffb0 (KEY)0102751420150000035000300387towardssemanticallylinkedmultilingualcorpus DE-627 ger DE-627 rakwb eng 300 DNB Junsheng Zhang verfasserin aut Towards semantically linked multilingual corpus 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Multilingual information processing gains more and more attention in recent years with the development of information globalization. Multilingual corpus is a key challenge for multilingual information extraction, analysis, management and service in a wide range of systems. This work addresses on the study and analysis of semantic associations among elements in a multilingual corpus. A solution is proposed in this paper to optimize the semantic organization of multilingual corpus by linking the corpus elements into a semantic link network. This enhances the text-based applications of multilingual corpus such as corpus linguistics study, dictionary search, machine translation and cross-lingual information retrieval. Nutzungsrecht: © COPYRIGHT 2015 Elsevier B.V. Semantic memory Analysis Cross-language information retrieval Information retrieval Studies Translations Multilingualism Information processing Semantics Yunchuan Sun oth Antonio J Jara oth Enthalten in International journal of information management Oxford : Elsevier, 1986 35(2015), 3, Seite 387-395 (DE-627)166616680 (DE-600)232848-3 (DE-576)015075788 0268-4012 nnns volume:35 year:2015 number:3 pages:387-395 http://dx.doi.org/10.1016/j.ijinfomgt.2015.01.004 Volltext http://search.proquest.com/docview/1676128274 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT SSG-OLC-BUB SSG-OLC-WIW GBV_ILN_21 GBV_ILN_26 GBV_ILN_70 GBV_ILN_130 AR 35 2015 3 387-395 |
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Multilingual information processing gains more and more attention in recent years with the development of information globalization. Multilingual corpus is a key challenge for multilingual information extraction, analysis, management and service in a wide range of systems. This work addresses on the study and analysis of semantic associations among elements in a multilingual corpus. A solution is proposed in this paper to optimize the semantic organization of multilingual corpus by linking the corpus elements into a semantic link network. This enhances the text-based applications of multilingual corpus such as corpus linguistics study, dictionary search, machine translation and cross-lingual information retrieval. |
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Multilingual information processing gains more and more attention in recent years with the development of information globalization. Multilingual corpus is a key challenge for multilingual information extraction, analysis, management and service in a wide range of systems. This work addresses on the study and analysis of semantic associations among elements in a multilingual corpus. A solution is proposed in this paper to optimize the semantic organization of multilingual corpus by linking the corpus elements into a semantic link network. This enhances the text-based applications of multilingual corpus such as corpus linguistics study, dictionary search, machine translation and cross-lingual information retrieval. |
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Multilingual information processing gains more and more attention in recent years with the development of information globalization. Multilingual corpus is a key challenge for multilingual information extraction, analysis, management and service in a wide range of systems. This work addresses on the study and analysis of semantic associations among elements in a multilingual corpus. A solution is proposed in this paper to optimize the semantic organization of multilingual corpus by linking the corpus elements into a semantic link network. This enhances the text-based applications of multilingual corpus such as corpus linguistics study, dictionary search, machine translation and cross-lingual information retrieval. |
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Towards semantically linked multilingual corpus |
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Yunchuan Sun Antonio J Jara |
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