LDC-IL: The Indian repository of resources for language technology

Author:

Choudhary NarayanORCID

Abstract

AbstractThis paper introduces the Government of India Initiative on linguistic data creation in Indian languages. The Linguistic Data Consortium for Indian Languages (LDC-IL) is a fully funded Government of India scheme established in 2007 to cater to the needs of linguistic resources required for the development of language technology in Indian languages. LDC-IL worked silently for more than a decade with a team of around regular fifty people and involving thousands of resource persons, covering twenty major languages of India. Part of the output of LDC-IL was launched in April 2019 by the Hon’ble Vice President of India. This paper, the first introductory paper in an academic journal, aims to give a brief of the works done by LDC-IL and how these works are crucial in the development of language technology for Indian languages. Within a short span of eight months of its release, the language resources released by LDC-IL have been procured and utilized by scores of industry and academic bodies and individual researchers, including major industry leaders like Microsoft, Google, Samsung etc.

Funder

Ministry of Human Resource Development

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Linguistics and Language,Education,Language and Linguistics

Reference12 articles.

1. Biber, D. (1993). Representativeness in corpus design. Literary and Linguistic Computing, 8(4), 243–257.

2. Census of India. (2011). Paper 1 of 2018: Language (Table C-16). Office of Registrar General, Government of India. Retrieved from https://censusindia.gov.in/2011Census/C-16_25062018_NEW.pdf.

3. Choudhary, N. (2018). Cost analysis of linguistic resources. Mysore: Central Institute of Indian Languages.

4. Choudhary, N. (Ed.). (2019). Linguistic resources for AI/NLP in Indian languages. Mysore: Central Institute of Indian Languages.

5. Choudhary, N. & Girish, N. J. (2011). Creating multilingual parallel corpora in Indian languages. In: Proceedings of the 5th Language & Technology Conference. Poznan, Poland. https://doi.org/10.1007/978-3-319-08958-4_43.

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Part-of-speech tagger for Bodo language using deep learning approach;Natural Language Processing;2024-06-03

2. Deep Learning based Named Entity Recognition for the Bodo Language;Procedia Computer Science;2024

3. The status quo of Indian data repositories indexed in re3data registry;Digital Library Perspectives;2023-06-06

4. KDC: New Dataset for Kannada Document Categorization;Lecture Notes in Electrical Engineering;2023

5. A Survey on NLP Resources, Tools, and Techniques for Marathi Language Processing;ACM Transactions on Asian and Low-Resource Language Information Processing;2022-12-27

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3