Back-off smoothing evaluation over syntactic language models
Amparo Varona, María Inés Torres · 2001
Continuous Speech Recognition systems require a Language Model (LM) to represent the syntactic constraints of the language. In LMs development a smoothing technique needs to be applied to also consider events not represented in the training corpus. In this work, several back-off smoothing approaches have been compared: classical discounting-distribution schema including Witten-Bell, Absolute and Linear discounting and a new proposal, the Delimited discounting. Delimited discounting deals with the Turing discounting problems