PAMR: Persian Abstract Meaning Representation Corpus
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3AMKAGXKUC" target="_blank" >RIV/00216208:11320/25:MKAGXKUC - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188280597&doi=10.1145%2f3638288&partnerID=40&md5=45e8e4d2993601eebb1bb18cc5a2cac1" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188280597&doi=10.1145%2f3638288&partnerID=40&md5=45e8e4d2993601eebb1bb18cc5a2cac1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3638288" target="_blank" >10.1145/3638288</a>
Alternative languages
Result language
angličtina
Original language name
PAMR: Persian Abstract Meaning Representation Corpus
Original language description
One of the most used and well-known semantic representation models is Abstract Meaning Representation (AMR). This representation has had numerous applications in natural language processing tasks in recent years. Currently, for English and Chinese languages, large annotated corpora are available. In addition, in some low-resource languages, related corpora have been generated with less size; although, until now, to the best of our knowledge, there is not any AMR corpus for the Persian/Farsi language. Therefore, the aim of this article is to create a Persian AMR (PAMR) corpus via translating English sentences and adjusting AMR guidelines and to solve the various challenges that are faced in this regard. The result of this research is a corpus, containing 1,020 Persian sentences and their related AMR that can be used in various natural language processing tasks. In this article, to investigate the feasibility of using the corpus, we have applied it to two natural language processing tasks: Sentiment Analysis and Text Summarization. © 2024 Copyright held by the owner/author(s).
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
ACM Transactions on Asian and Low-Resource Language Information Processing
ISSN
2375-4699
e-ISSN
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Volume of the periodical
23
Issue of the periodical within the volume
3
Country of publishing house
US - UNITED STATES
Number of pages
20
Pages from-to
1-20
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85188280597