LSCP: Enhanced Large Scale Colloquial Persian Language Understanding

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F20%3A10424427" target="_blank" >RIV/00216208:11320/20:10424427 - isvavai.cz</a>

Result on the web

<a href="https://www.aclweb.org/anthology/2020.lrec-1.776" target="_blank" >https://www.aclweb.org/anthology/2020.lrec-1.776</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

LSCP: Enhanced Large Scale Colloquial Persian Language Understanding

Original language description

Language recognition has been significantly advanced in recent years by means of modern machine learning methods such as deep learning and benchmarks with rich annotations. However, research is still limited in low-resource formal languages. This consists of a significant gap in describing the colloquial language especially for low-resourced ones such as Persian. In order to target this gap for low resource languages, we propose a &quot;Large Scale Colloquial Persian Dataset&quot; (LSCP). LSCP is hierarchically organized in a semantic taxonomy that focuses on multi-task informal Persian language understanding as a comprehensive problem. This encompasses the recognition of multiple semantic aspects in the human-level sentences, which naturally captures from the real-world sentences. We believe that further investigations and processing, as well as the application of novel algorithms and methods, can strengthen enriching computerized understanding and processing of low resource languages. The proposed corpus cons

Czech name

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Czech description

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Type

D - Article in proceedings

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)

Project

<a href="/en/project/GX19-26934X" target="_blank" >GX19-26934X: Neural Representations in Multi-modal and Multi-lingual Modeling</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC 2020)

ISBN

979-10-95546-34-4

ISSN

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e-ISSN

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Number of pages

5

Pages from-to

6323-6327

Publisher name

European Language Resources Association

Place of publication

Marseille, France

Event location

Marseille, France

Event date

May 11, 2020

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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