WordNet construction for under-resourced languages using personalized PageRank.
Wordnet development is an active research area among NLP researchers. Since the manual construction of the English wordnet was very costly both in terms of time and human expertise, automatic approaches have become very popular for wordnet development in languages other than English. Automatic metho...
| Publicado en: | Digital Scholarship in the Humanities Vol. 36; no. 3; pp. 565 - 581 |
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| Autores principales: | , , , |
| Formato: | Artículo |
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Oxford University Press / USA
Sep2021
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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=153797188&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 153797188 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: Sep2021 vid: 36 iid: 3 pid: 622 pub: Oxford University Press / USA artinfo: ui: 153797188 10.1093/llc/fqaa036 ppf: 565 ppct: 16 formats: fmt: – @attributes: type: T – @attributes: type: P size: 283KB tig: atl: WordNet construction for under-resourced languages using personalized PageRank. aug: au: Berangi, Parisa Mousavi, Zahra Faili, Heshaam Shakery, Azadeh affil: School of Electrical and Computer Engineering, University of Tehran , Tehran, Iran School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran and School of Computer Science, Institute for Research in Fundamental Sciences (IPM) , Tehran, Iran su: Persian language Expertise Language & languages sug: subj: Persian language Expertise Language & languages ab: Wordnet development is an active research area among NLP researchers. Since the manual construction of the English wordnet was very costly both in terms of time and human expertise, automatic approaches have become very popular for wordnet development in languages other than English. Automatic methods usually benefit from an existing wordnet of a high resource language and use it as the backbone of their work. In this article, we present an unsupervised approach for automatic wordnet construction using a combination of Expectation–Maximization and personalized PageRank algorithms. Our method uses some typical and available language resources, so it is applicable to many languages including under-resourced ones. The proposed method needs just a bilingual dictionary and a monolingual corpus for developing a wordnet. In order to evaluate the proposed method, we apply it to the Persian language which is identified as an under-resourced language in NLP tasks. Evaluation results properly indicate the power of the proposed method to construct a high quality and large-scale wordnet for poor-resource languages. According to experiments, we achieve a precision of higher than 93% with a recall of 50%. 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: 2021 holdings: @attributes: islocal: N |
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