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Dataset Description
42,37,440 Words | 1,460 Tittles | XML format | 3 domains
Bengali is the official
language of West Bengal and Tripura. It belongs to the Indo-Aryan language
family. Bengali is influenced by Sanskrit. Greater use of Bengali has
contributed to the growth of the language in terms of vocabulary and the number
of styles and registers. Bengali is spoken over the whole of West Bengal,
Tripura and Bangladesh and in some parts of Bihar, Orissa, and Assam. Bengali
refugees, who have settled in Andaman after 1950, have also carried the
language there. LDC-IL Bengali Text Corpus developed according to various
factors such as quality of the text, representativeness, retrievable
format, size of corpus, authenticity, etc. For collecting text corpus
LDC-IL adopts a standard category list of various domains and a prior set of
criteria. The corpus of Bengali text can be broadly classified as literary and
non- literary texts. A huge amount of literary texts are available in Bengali but
scientific texts are less thus LDC-IL attempts to develop balanced text corpora
of Bengali. Data has been collected from books, magazines, and newspapers and it
is verified true to the original text.
Bengali Text Corpus encoded in a machine-readable form and stored in a standard format. The major encoding being used is Unicode and stored in XML format. The data is embedded with metadata information. The corpus has been created from the contemporary text in a typed method.
The available Text Corpus details:
Domains |
Words |
Percentage of Total Corpus |
Aesthetics |
40,37,854 |
95.29 % |
Science and Technology |
76,231 |
1.80 % |
Social Sciences |
1,23,355 |
2.91 % |
A detailed explanation of the Bengali Text Corpus will be available in the Bengali Raw Text Corpus Documentation.
For any research-based citations, please use the following citations:
- Ramamoorthy, L., Narayan Choudhary, Sonali Sutradhar, Arundhati Sengupta, Sankarshan Dutta, Priyanka Das & Saswati Karmakar. 2019. A Gold Standard Bengali Raw Text Corpus. Central Institute of Indian Languages, Mysore.
- Choudhary, Narayan & L. Ramamoorthy. 2019. "LDC-IL Raw Text Corpora: An Overview" in Linguistic Resources for AI/NLP in Indian Languages, Central Institute of Indian Languages, Mysore. pp. 1-10.
Item specifics
- Authors Ramamoorthy L., Narayan Choudhary, Sonali Sutradhar, Arundhati Sengupta,Sankarshan Dutta, Priyanka Das, Saswati Karmakar
- Corpus Type Raw Corpus
- Catalogue Number 1105
- ISBN 978-81-7343-204-0
- Data Source Typed+Cleaned
- Character Count 25481407
- Word Count 4237440
- Release Date 04-Apr-2019
- Terms and Conditions General instructions for use of the resources provided by LDC-IL.