Is singular value decomposition useful for word similarity extraction?
In this paper, we analyze the behaviour of Singular Value Decomposition in a number of word similarity extraction tasks, namely acquisition of translation equivalents from comparable corpora. Special attention is paid to two different aspects: computational efficiency and extraction quality. The mai...
| Publicado en: | Language Resources & Evaluation Vol. 45; no. 2; pp. 95 - 120 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
May2011
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=60133442&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 60133442 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1574020X 179V jtl: Language Resources & Evaluation issn: 1574020X maglogo: N pubinfo: dt: May2011 vid: 45 iid: 2 pid: 237 pub: Springer Nature artinfo: ui: 60133442 10.1007/s10579-010-9129-5 ppf: 95 ppct: 25 formats: fmt: @attributes: type: P size: 369KB tig: atl: Is singular value decomposition useful for word similarity extraction? aug: au: Gamallo, Pablo Bordag, Stefan affil: Departamento de Língua Espanhola, Faculdade de Filologia, Universidade de Santiago de Compostela, Galiza Spain Max Planck Institute for Social Anthropology, Halle/Saale Germany su: Singular value decomposition Data mining Vocabulary Translating & interpreting Computational linguistics Experiments Comparative linguistics Corpora sug: subj: Singular value decomposition Data mining Vocabulary Translating & interpreting Computational linguistics Experiments Comparative linguistics Corpora keyword: Comparable corpora Information extraction Word similarity ab: In this paper, we analyze the behaviour of Singular Value Decomposition in a number of word similarity extraction tasks, namely acquisition of translation equivalents from comparable corpora. Special attention is paid to two different aspects: computational efficiency and extraction quality. The main objective of the paper is to describe several experiments comparing methods based on Singular Value Decomposition (SVD) to other strategies. The results lead us to conclude that SVD makes the extraction less computationally efficient and much less precise than other more basic models for the task of extracting translation equivalents from comparable corpora. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Language Resources & Evaluation is a copyright of Springer, 2011. All Rights Reserved. item: Language Resources & Evaluation holder: Springer Nature dt: @attributes: year: 2011 holdings: @attributes: islocal: N |
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