OdiEnCorp: Odia-English and Odia-Only Corpus for Machine Translation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10405593" target="_blank" >RIV/00216208:11320/19:10405593 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/chapter/10.1007/978-981-13-9282-5_47" target="_blank" >https://link.springer.com/chapter/10.1007/978-981-13-9282-5_47</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-981-13-9282-5_47" target="_blank" >10.1007/978-981-13-9282-5_47</a>

Jazyk výsledku

angličtina

Název v původním jazyce

OdiEnCorp: Odia-English and Odia-Only Corpus for Machine Translation

Popis výsledku v původním jazyce

A multi-lingual country like India needs language corpora for low resource languages not only to provide its citizens with technologies of natural language processing (NLP) readily available in other countries, but also to support its people in their education and cultural needs. In this work, we focus on one of the low resource languages, Odia, and build an Odia-English parallel (OdiEnCorp) and an Odia monolingual (OdiMonoCorp) corpus. The parallel corpus is based on Odia-English parallel texts extracted from online resources and formally corrected by volunteers. We also preprocess the parallel corpus for machine translation research or training. The monolingual corpus comes from a diverse set of online resources and we organize it into a collection of segments and paragraphs, easy to handle by NLP tools. OdiEnCorp parallel corpus contains 29346 sentence pairs and 756K English and 648K Odia tokens. OdiMonoCorp contains 2.6 million tokens in 221K sentences in 71K paragraphs. Despite their small size,

Název v anglickém jazyce

OdiEnCorp: Odia-English and Odia-Only Corpus for Machine Translation

Popis výsledku anglicky

A multi-lingual country like India needs language corpora for low resource languages not only to provide its citizens with technologies of natural language processing (NLP) readily available in other countries, but also to support its people in their education and cultural needs. In this work, we focus on one of the low resource languages, Odia, and build an Odia-English parallel (OdiEnCorp) and an Odia monolingual (OdiMonoCorp) corpus. The parallel corpus is based on Odia-English parallel texts extracted from online resources and formally corrected by volunteers. We also preprocess the parallel corpus for machine translation research or training. The monolingual corpus comes from a diverse set of online resources and we organize it into a collection of segments and paragraphs, easy to handle by NLP tools. OdiEnCorp parallel corpus contains 29346 sentence pairs and 756K English and 648K Odia tokens. OdiMonoCorp contains 2.6 million tokens in 221K sentences in 71K paragraphs. Despite their small size,

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

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

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the Third International Conference on Smart Computing and Informatics, Volume 1

ISBN

978-981-13-9282-5

ISSN

—

e-ISSN

—

Počet stran výsledku

10

Strana od-do

495-504

Název nakladatele

Springer

Místo vydání

Singapore

Místo konání akce

Bhubaneshwar, Odisha, India

Datum konání akce

1. 1. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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