Morphology Based Language Modeling for Turkish Speech Recognition

Funding Agency: Bogazici University Research Fund, BAP (Project 08M103)

Project Manager: Tunga Güngör

Dates: 2008-2009

In this project, we aimed at developing a high performance large vocabulary continuous speech recognition system for Turkish. The most important contribution of this work was to develop a morphology-based language model for Turkish.

As a result of our previous work, we built language resources for Turkish such as a morphological parser, a morphological disambiguator, and a web corpus. Using these language resources, we developed an effective morphology-based language model for Turkish. We also replaced the static lexicon with a dynamic one based on the morphological parser, greatly alleviating the out-of-vocabulary problem for Turkish. We also developed a speech decoder which can do speech decoding on morphology-integrated search networks.