Leveraging monolingual Hindi-English parallel corpus for translating Hinglish

Hinglish, a mix of Hindi and English, is one if the most spoken code-switched language. Code-switching occurs when speakers use grammatical structures from multiple languages in their speech. This can be challenging for NLP algorithms, as they are typically not designed for code-switched data. As a result, the performance of these algorithms may be degraded when applied to code-switched data. To improve their performance, additional processing steps such as language identification, normalization, and back-transliteration may be necessary.

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