Paper: Pair Language Models for Deriving Alternative Pronunciations and Spellings from Pronunciation Dictionaries

ACL ID D13-1165
Title Pair Language Models for Deriving Alternative Pronunciations and Spellings from Pronunciation Dictionaries
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2013
Authors

Pronunciation dictionaries provide a readily available parallel corpus for learning to trans- duce between character strings and phoneme strings or vice versa. Translation models can be used to derive character-level paraphrases on either side of this transduction, allowing for the automatic derivation of alternative pro- nunciations or spellings. We examine finite- state and SMT-based methods for these related tasks, and demonstrate that the tasks have different characteristics ? finding alternative spellings is harder than alternative pronunci- ations and benefits from round-trip algorithms when the other does not. We also show that we can increase accuracy by modeling sylla- ble stress.