By inte-grating a trigger model with a general N-gram language model and introducing a parameter-confidence to enhance the reliability of score of the trigger model,a practical long-distance language model is implemented for speech recognition.

By conducting interviews and language-production experiments,this paper investigates the cross-linguistic influence and its underlying causes in the phonological acquisition of the Mongolian students in the School of Foreign Languages,Southwest University,based on Kellerman\'s hypothesis,language distance and typology.

Foreign language anxiety refers to the fear or apprehension experienced by language learners in their learning process,and if handled impropriately,language distance,a significant factor affecting learners\'perception of the target language,might exert a great influence on foreign language anxiety.

At the same time,a new method to create the vari-gram language model is presented.

Modified Range-Doppler algorithm using the exact range model;

Wavenumber domain algorithm based on the range model;

Considering the bistatic character of the system,method of getting precise range model parameters was studied.

A distance model is established to select the optimal path in intelligent traffic system,then an universal optimal algorithm is created by using the adjacency matrix and iterative algorithm.

Then,the distance model between the failure sample set and the failure mode set is f.

User - oriented Chinese language model and its machine learning;

Designing of Language Model in the Mongolian Speech Recognition Systems;

Updating language model based on training text from Webs;