Abstract
Code-Mixing is the mixing of two or more languages or language varieties in speech. Apart from the inherent linguistic complexity, the analysis of code-mixed content poses complex challenges owing to the presence of spelling variations and non-adherence to a formal grammar. However, for any downstream Natural Language Processing task, tools that are able to process and analyze code-mixed social media data are required. Currently there is a lack of publicly available resources for code-mixed Konkani-English social media data, while the amount of such text is increasing everyday. The lack of a standard dataset to evaluate these systems makes it difficult to make any meaningful comparisons of their relative accuracies.
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