PHINC: A Parallel Hinglish Social Media Code-Mixed Corpus for Machine Translation

• URL: http://arxiv.org/abs/2004.09447v1
• Date: Mon, 20 Apr 2020 17:04:22 GMT
• Title: PHINC: A Parallel Hinglish Social Media Code-Mixed Corpus for Machine Translation
• Authors: Vivek Srivastava and Mayank Singh
• Abstract summary: This paper presents a parallel corpus of the 13,738 code-mixed English-Hindi sentences and their corresponding translation in English. The translations of sentences are done manually by the annotators. We are releasing the parallel corpus to facilitate future research opportunities in code-mixed machine translation.
• Score: 1.2301855531996841
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Code-mixing is the phenomenon of using more than one language in a sentence. It is a very frequently observed pattern of communication on social media platforms. Flexibility to use multiple languages in one text message might help to communicate efficiently with the target audience. But, it adds to the challenge of processing and understanding natural language to a much larger extent. This paper presents a parallel corpus of the 13,738 code-mixed English-Hindi sentences and their corresponding translation in English. The translations of sentences are done manually by the annotators. We are releasing the parallel corpus to facilitate future research opportunities in code-mixed machine translation. The annotated corpus is available at https://doi.org/10.5281/zenodo.3605597.

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