Comparing Grammatical Theories of Code-Mixing
Adithya Pratapa, Monojit Choudhury · 2021
Code-mixed text generation systems have found applications in many downstream tasks, including speech recognition, translation and dialogue.A paradigm of these generation systems relies on well-defined grammatical theories of code-mixing, and there is a lack of comparison of these theories.We present a largescale human evaluation of two popular grammatical theories, Matrix-Embedded Language (ML) and Equivalence Constraint (EC).We compare them against three heuristic-based models and quantitatively demonstrate the effectiveness of the two grammatical theories.