Sixth International Conference on Spoken Language Processing (ICSLP 2000)
In this three-level hybrid language modeling, each lower level modeling serves the higher level modeling(s). The results in each level are well utilized or embedded in the higher level(s). These models can be trained level by level. Accordingly, some prospective language constraints can finally be embedded in a well-organized hybrid model.
Experimental data based on the embedded modeling show that the hybrid model reduces WER 14.5% compared with the conventional word-based bigram model. As a result, it can be expected to improve the conventional statistical language modeling.
Bibliographic reference. Zhang, Shuwu / Yamamoto, Hirofami / Sagisaka, Yoshinori (2000): "An embedded knowledge integration for hybrid language modelling", In ICSLP-2000, vol.1, 182-195.