Morphology-based and sub-word language modeling for Turkish speech recognition
2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010, Dallas, TX, Amerika Birleşik Devletleri, 14 - 19 Mart 2010, ss.5402-5405, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.1109/icassp.2010.5494927
- Basıldığı Şehir: Dallas, TX
- Basıldığı Ülke: Amerika Birleşik Devletleri
- Sayfa Sayıları: ss.5402-5405
- Anahtar Kelimeler: Morphology-based, sub-word, morphology-integrated, language modeling, automatic speech recognition
- Boğaziçi Üniversitesi Adresli: Evet
Özet
We explore morphology-based and sub-word language modeling approaches proposed for morphologically rich languages, and evaluate and contrast them for Turkish broadcast news transcription task. In addition, as a morphology-based model, we improve our previously proposed morphology-integrated model for automatic speech recognition. This model is built by composing the finite-state transducer of the morphological parser with a language model over lexical morphemes. This approach provides a morphology-integrated search network with an unlimited vocabulary, generating only valid word forms while reducing the out-of-vocabulary rate and hence improving the word error rate. We also analyze the effect of morphotactics and morphological disambiguation on the speech recognition accuracy for the morphology-integrated model. The improved morphology-integrated model performs better than statistically derived sub-word models with added benefit of generating morphosyntactic and semantic features. ©2010 IEEE.