# hinglishNorm -- A Corpus of Hindi-English Code Mixed Sentences for Text Normalization

arXiv: https://arxiv.org/abs/2010.08974 · HTML: https://mlsanity.com/paper/2010.08974/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 18 Oct 2020.

## Built on by (most cited first, 3 of 3)

- [The Decades Progress on Code-Switching Research in NLP: A Systematic Survey on Trends and Challenges](https://mlsanity.com/paper/2212.09660/) (2022)
- [ViLexNorm: A Lexical Normalization Corpus for Vietnamese Social Media Text](https://mlsanity.com/paper/2401.16403/) (2024)
- [PingPong: A Natural Benchmark for Multi-Turn Code-Switching Dialogues](https://mlsanity.com/paper/2601.17277/) (2026)

## Abstract (arXiv)

We present hinglishNorm -- a human annotated corpus of Hindi-English code-mixed sentences for text normalization task. Each sentence in the corpus is aligned to its corresponding human annotated normalized form. To the best of our knowledge, there is no corpus of Hindi-English code-mixed sentences for text normalization task that is publicly available. Our work is the first attempt in this direction. The corpus contains 13494 parallel segments. Further, we present baseline normalization results on this corpus. We obtain a Word Error Rate (WER) of 15.55, BiLingual Evaluation Understudy (BLEU) score of 71.2, and Metric for Evaluation of Translation with Explicit ORdering (METEOR) score of 0.50.