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Shallow Parsing Pipeline for Hindi-English Code-Mixed Social Media Text

arXiv 1604.03136 ↗First posted 11 Apr 2016cs.CLcited by 7

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Abstract (arXiv)

In this study, the problem of shallow parsing of Hindi-English code-mixed social media text (CSMT) has been addressed. We have annotated the data, developed a language identifier, a normalizer, a part-of-speech tagger and a shallow parser. To the best of our knowledge, we are the first to attempt shallow parsing on CSMT. The pipeline developed has been made available to the research community with the goal of enabling better text analysis of Hindi English CSMT. The pipeline is accessible at http://bit.ly/csmt-parser-api .

Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Apr 2016.

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Citing papers per year: 2021: 3; 2022: 2; 2023: 1; 2024: 0; 2025: 1.

7 papers.