Normalization of Transliterated Words in Code-Mixed Data Using Seq2Seq Model & Levenshtein Distance

Building tools for code-mixed data is rapidly gaining popularity in the NLP research community as such data is exponentially rising on social media. Working with code-mixed data contains several challenges, especially due to grammatical inconsistencies and spelling variations in addition to all the previous known challenges for social media scenarios... (read more)

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