Paper: Language Modeling with Functional Head Constraint for Code Switching Speech Recognition

ACL ID D14-1098
Title Language Modeling with Functional Head Constraint for Code Switching Speech Recognition
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2014
Authors

In this paper, we propose novel struc- tured language modeling methods for code mixing speech recognition by incorporat- ing a well-known syntactic constraint for switching code, namely the Functional Head Constraint (FHC). Code mixing data is not abundantly available for training language models. Our proposed meth- ods successfully alleviate this core prob- lem for code mixing speech recognition by using bilingual data to train a struc- tured language model with syntactic con- straint. Linguists and bilingual speakers found that code switch do not happen be- tween the functional head and its comple- ments. We propose to learn the code mix- ing language model from bilingual data with this constraint in a weighted finite state transducer (WFST) framework. The constrained code switch languag...