Matuschek, Michael ; Meyer, Christian M. ; Gurevych, Iryna (2013)
Multilingual Knowledge in Aligned Wiktionary and OmegaWiki for Translation Applications.
In: Translation: Computation, Corpora, Cognition: Special Issue on “Language Technology for a Multilingual Europe”, 3 (1)
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
Multilingual lexical-semantic resources play an important role in translation applications. However, multilingual resources with sufficient quality and coverage are rare as the effort of manually constructing such a resource is substantial. In recent years, the emergence of Web 2.0 has opened new possibilities for constructing large-scale lexical-semantic resources. We identified Wiktionary and OmegaWiki as two important multilingual initiatives where a community of users (“crowd”) collaboratively edits and refines the lexical information. They seem especially appropriate in the multilingual domain as users from all languages and cultures can easily contribute. However, despite their advantages such as open access and coverage of multiple languages, these resources have hardly been systematically investigated and utilized until now. Therefore, the goals of our contribution are threefold: (1) We analyze how these resources emerged and characterize their content and structure; (2) We propose an alignment at the word sense level to exploit the complementary information contained in both resources for increased coverage; (3) We describe a mapping of the resources to a standardized, unified model (UBY-LMF) thus creating a large freely available multilingual resource designed for easy integration into applications such as machine translation or computer-aided translation environments.
Typ des Eintrags: | Artikel |
---|---|
Erschienen: | 2013 |
Autor(en): | Matuschek, Michael ; Meyer, Christian M. ; Gurevych, Iryna |
Art des Eintrags: | Bibliographie |
Titel: | Multilingual Knowledge in Aligned Wiktionary and OmegaWiki for Translation Applications |
Sprache: | Englisch |
Publikationsjahr: | Juni 2013 |
Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Translation: Computation, Corpora, Cognition: Special Issue on “Language Technology for a Multilingual Europe” |
Jahrgang/Volume einer Zeitschrift: | 3 |
(Heft-)Nummer: | 1 |
URL / URN: | https://www.blogs.uni-mainz.de/fb06-tc3/files/2015/11/20-149... |
Zugehörige Links: | |
Kurzbeschreibung (Abstract): | Multilingual lexical-semantic resources play an important role in translation applications. However, multilingual resources with sufficient quality and coverage are rare as the effort of manually constructing such a resource is substantial. In recent years, the emergence of Web 2.0 has opened new possibilities for constructing large-scale lexical-semantic resources. We identified Wiktionary and OmegaWiki as two important multilingual initiatives where a community of users (“crowd”) collaboratively edits and refines the lexical information. They seem especially appropriate in the multilingual domain as users from all languages and cultures can easily contribute. However, despite their advantages such as open access and coverage of multiple languages, these resources have hardly been systematically investigated and utilized until now. Therefore, the goals of our contribution are threefold: (1) We analyze how these resources emerged and characterize their content and structure; (2) We propose an alignment at the word sense level to exploit the complementary information contained in both resources for increased coverage; (3) We describe a mapping of the resources to a standardized, unified model (UBY-LMF) thus creating a large freely available multilingual resource designed for easy integration into applications such as machine translation or computer-aided translation environments. |
Freie Schlagworte: | UKP_s_JOWKL;UKP_p_UBY;UKP_a_LangTech4eHum;reviewed;UKP_reviewed |
ID-Nummer: | TUD-CS-2013-0134 |
Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung |
Hinterlegungsdatum: | 03 Jul 2018 12:59 |
Letzte Änderung: | 24 Jan 2020 12:03 |
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