A Gold Standard Malayalam Raw Text Corpus

63, 70,954 Words | 1,119 Titles | XML format | 6 domains

Malayalam is a highly agglutinative and morphologically rich language. The actual pattern of language use in natural texts reveals the evidence of language trait. Government of India set up Linguistic Data Consortium for Indian Languages to help those who endeavor in the language development field. LDC-IL Malayalam 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 Malayalam text can be broadly classified as literary and non-literary texts. A huge amount of literary texts are available in Malayalam but scientific texts are less thus LDC-IL attempts to develop balanced text corpora of Malayalam. Data has been collected from books, magazines, and newspapers and it is verified to true to the original texts then stored.

Malayalam 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 contemporary text is typed and crawled methods. LDC-IL Malayalam Text Corpus size is 63, 70,954 words drawn from 1,119 different titles. The six major domains are Aesthetics, Commerce, Official Documents, Social Sciences, Mass Media and Science & Technology. 

The available Text Corpus details:



A detailed explanation of the Malayalam Text Corpus will be available in the Malayalam Raw Text Corpus Documentation.

For any  research-based citations, please use the following citations:

• Ramamoorthy, L., Narayan Choudhary, Saritha S.L., Rejitha K.S. & Sajila S. 2019. A Gold Standard  Malayalam  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.