Developing an effective scheme for translation and expansion of Persian user queries.
This study aims at introducing a new source for translation and expansion of user queries in Persian language in order to develop a bilingual dictionary. For the purpose of this study, required data were extracted and processed from English and Persian bibliographic information of journal articles t...
| Publicado en: | Digital Scholarship in the Humanities Vol. 35; no. 3; pp. 493 - 507 |
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| Autores principales: | , , , , |
| Formato: | Artículo |
| Publicado: |
Oxford University Press / USA
Sep2020
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| Materias: | |
| 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=146172310&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 146172310 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: Sep2020 vid: 35 iid: 3 pid: 622 pub: Oxford University Press / USA artinfo: ui: 146172310 10.1093/llc/fqz041 ppf: 493 ppct: 14 formats: fmt: – @attributes: type: T – @attributes: type: P size: 648KB tig: atl: Developing an effective scheme for translation and expansion of Persian user queries. aug: au: Esmailpour, Razieh Ebrahimy, Saeideh Fakhrahmad, Seyed Mostafa Mohammadi, Mehdi Abbaspour, Javad affil: Department of Knowledge and Information Science , School of Education and Psychology, Shiraz University, Iran Department of Computer Science and Engineering , School of Electrical and Computer Engineering, Shiraz University, Iran Department of Educational Administration and Planning , School of Education and Psychology, Shiraz University, Iran su: Machine translating Bibliographic databases Natural language processing Translations Persian language Educational psychology Periodical articles sug: subj: Machine translating Bibliographic databases Natural language processing Translations Persian language Educational psychology Periodical articles ab: This study aims at introducing a new source for translation and expansion of user queries in Persian language in order to develop a bilingual dictionary. For the purpose of this study, required data were extracted and processed from English and Persian bibliographic information of journal articles to develop a dictionary for query translation and expansion, denoted as Query Expansion Assistant Database (QEAD). In this study, psychology and educational sciences journals have been selected as the sample with the potential of extension to other domains. Persian–English authors' keywords were used for translation part and titles of English references were used to extract phrases using natural language processing techniques for the expansion part. The proposed algorithm is demonstrated. Then we evaluated this approach using human evaluation by using Google translate (GT) and Google scholar. Although the evaluation of translation part indicated 60% match between GT and QEAD, in 40% of unmatched translations, QEAD showed a better performance according to expert evaluators. Expansion part of QEAD was compared with Google scholar suggestions, which indicated that the expanded words of QEAD can equalize with Google scholar suggestions. Persian as a low resource language needs more qualified lexicon translation. In addition, using the English–Persian bibliographic information of scientific journals to mine lexicon translation is conducted for the first time. Since these journals are peer-reviewed, they can be a valuable source for translation of user's query. Users can be informed of the most prevalent and up-to-date words or phrases among scientists, because journals are published frequently. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 EADH: The European Association for Digital Humanities. item: Digital Scholarship in the Humanities holder: Oxford University Press / USA dt: @attributes: year: 2020 holdings: @attributes: islocal: N |
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