Research On Argument Structure And Semantic Feature Data Set Of Chinese Verbs

The ultimate goal of speech-language therapy is to improve the ability of communication in patients with aphasia. Patients can talk spontaneously which means the improvement of the ability of communication. Verbsalways play pivotal roles on sentence production. So it is important to explore verb-training methods for patients with aphasia. However, during the treatment, how to tip patients to increase the verb retrieval is related to the effect of the training. This study discusses the effect of verb argument structure training on patients with aphasia and the distribution of semantic feature of different arguments. By establishing the verb semantic features database and the procedure of verb argument structure training, the study is aimed at provide a noval strategy to speech-language therapy.Training aphasic patients the verb argument structure not only improves the trained verbs retrieval but also the sentence production. Meanwhile, the working memory was also enhanced. The study is based on the former studyand extends the Semantic Feature Classification Scheme for Chineseto verb semantic features, establishing the verb semantic feature database. The study provides the material selection and the training procedure for speech-cognition therapy.The major innovation of this study is that it introduced linguistic to clinical treatment and ruled the Chinese verb argument structure training. This study has the theoretical contributions which is extending the norm of Chinese words semantic feature to verb semantic features. This study also has application potentials. The established the Chinese verb semantic feature database provided materials for speech-cognition therapy.