Abstract
This paper introduces a new Magahi-Hindi-English (MHE) code-mixed data-set for similar language identification (SMLID), where Magahi is a less-resourced minority language. This corpus provides a language id at two levels: word and sentence. This data-set is the first Magahi-Hindi-English code-mixed data-set for similar language identification task. Furthermore, we will discuss the complexity of the data-set and provide a few baselines for the language identification task.- Anthology ID:
- 2022.lrec-1.366
- Volume:
- Proceedings of the Thirteenth Language Resources and Evaluation Conference
- Month:
- June
- Year:
- 2022
- Address:
- Marseille, France
- Editors:
- Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 3425–3433
- Language:
- URL:
- https://aclanthology.org/2022.lrec-1.366
- DOI:
- Cite (ACL):
- Priya Rani, John P. McCrae, and Theodorus Fransen. 2022. MHE: Code-Mixed Corpora for Similar Language Identification. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 3425–3433, Marseille, France. European Language Resources Association.
- Cite (Informal):
- MHE: Code-Mixed Corpora for Similar Language Identification (Rani et al., LREC 2022)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-3/2022.lrec-1.366.pdf