Sentence examples for lexical model from inspiring English sources

This process is facilitated by an intermediary alignment with WordNet, a lexical model.

Our system consists of three parts: acoustic/prosodic model, lexical model, and a model that combines their decisions for the final output.

The tonal model has the lowest density of accent commands, and the lexical model has the highest density.

With these prototypes we initialize the L-ME and we re-estimated the parameters of lexical model.

Duration and Pronunciation Conditioned Lexical Modeling for Speaker Verification.

The outputs from the acoustic and lexical models are combined at the decision level.

For the DB2 database, lexical models have a performance lower than automatic approach.

Furthermore, for the DB2 database, the accent command durations of lexical models is slightly higher than those of automatic models.

For Spanish, we built the tonal models with the DB1 database and lexical models with the DB1 and DB2 databases.

Unlike other corpora analyzed in this paper, however, the lexical models have a density of commands lower than the automatic models: 40% fewer phrase commands and 14% fewer accent commands.

Finally, while there is no space here to discuss lexical modelling in computational approaches within SFL, it is worth noting very briefly work done by Fawcett, Tucker, and Lin, 1993; Fawcett, 1994; Matthiessen and Bateman, 1991; and O'Donnell, Cheng and Hitzeman, 1998 to name only a few.