Track D: STATISTICAL LANGUAGE MODELS – Tuesday 25 April
10:45 – 11:30
Statistical language model (SLM) grammars have been shown to have a positive effect on customer experience. However, there is often a lack of appreciation of complexities surrounding the building, deployment, and support of SML. This session examines different scenarios and suggests criteria to help gauge whether an application needs an SLM-type solution or not. Additionally, a comparison is presented of the performance of SLM grammars vs. rule-based grammars on some of the most challenging recognition tasks.
Presented by: Dmitry Sityaev