hinglishNorm -- A Corpus of Hindi-English Code Mixed Sentences for Text Normalization
Abstract
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.
Keywords
Cite
@article{arxiv.2010.08974,
title = {hinglishNorm -- A Corpus of Hindi-English Code Mixed Sentences for Text Normalization},
author = {Piyush Makhija and Ankit Kumar and Anuj Gupta},
journal= {arXiv preprint arXiv:2010.08974},
year = {2020}
}
Comments
Accepted in COLING2020 industry track, 8 pages (including references), 4 tables