The synthetic defining style, a predominant way used to define verbs in many dictionaries, is the main factor that makes dictionary definitions vague and incomplete. The present paper argues that instead of the synthe...The synthetic defining style, a predominant way used to define verbs in many dictionaries, is the main factor that makes dictionary definitions vague and incomplete. The present paper argues that instead of the synthetic defining mode, an analytical meaning-explaining way should be used in dictionaries designed for SLA learners. The analytical meanings of verbs are viewed as mini-narratives and form event schemata comprised of three sub-schemata, namely, participant schema, action schema and scenario schema. The three sub-schemata should be clearly fore-grounded in verbs＇ definitions in learners＇ dictionaries.展开更多
A local and global context representation learning model for Chinese characters is designed and a Chinese word segmentation method based on character representations is proposed in this paper. First, the proposed Chin...A local and global context representation learning model for Chinese characters is designed and a Chinese word segmentation method based on character representations is proposed in this paper. First, the proposed Chinese character learning model uses the semanties of loeal context and global context to learn the representation of Chinese characters. Then, Chinese word segmentation model is built by a neural network, while the segmentation model is trained with the eharaeter representations as its input features. Finally, experimental results show that Chinese charaeter representations can effectively learn the semantic information. Characters with similar semantics cluster together in the visualize space. Moreover, the proposed Chinese word segmentation model also achieves a pretty good improvement on precision, recall and f-measure.展开更多
As we enter the 21st century, acquisition of vocabulary has assumed a more important role, and as some would argue, it has assumed the central role in learning a second language. On one hand, students have a strong de...As we enter the 21st century, acquisition of vocabulary has assumed a more important role, and as some would argue, it has assumed the central role in learning a second language. On one hand, students have a strong desire to improve their English level in order to make them more adaptable when they step into this competitive society after graduation. On the other hand, most students are facing a great difficulty in learning a large number of vocabularies though they do spend a lot of time and energy on it. Also, recent researches show that students don＇t like the classroom that is still teacher-centered and lecture-based. They want to be more involved in class and more responsible for their own studies. Hence, it is important to equip students with necessary strategies for dealing with vocabulary learning activities. In this paper, three strategies are recommended： extensive listening ＆ reading and contextual guesswork, communicative activities and group-work and the use of dictionary.展开更多
文摘The synthetic defining style, a predominant way used to define verbs in many dictionaries, is the main factor that makes dictionary definitions vague and incomplete. The present paper argues that instead of the synthetic defining mode, an analytical meaning-explaining way should be used in dictionaries designed for SLA learners. The analytical meanings of verbs are viewed as mini-narratives and form event schemata comprised of three sub-schemata, namely, participant schema, action schema and scenario schema. The three sub-schemata should be clearly fore-grounded in verbs＇ definitions in learners＇ dictionaries.
基金Supported by the National Natural Science Foundation of China(No.61303179,U1135005,61175020)
文摘A local and global context representation learning model for Chinese characters is designed and a Chinese word segmentation method based on character representations is proposed in this paper. First, the proposed Chinese character learning model uses the semanties of loeal context and global context to learn the representation of Chinese characters. Then, Chinese word segmentation model is built by a neural network, while the segmentation model is trained with the eharaeter representations as its input features. Finally, experimental results show that Chinese charaeter representations can effectively learn the semantic information. Characters with similar semantics cluster together in the visualize space. Moreover, the proposed Chinese word segmentation model also achieves a pretty good improvement on precision, recall and f-measure.
文摘As we enter the 21st century, acquisition of vocabulary has assumed a more important role, and as some would argue, it has assumed the central role in learning a second language. On one hand, students have a strong desire to improve their English level in order to make them more adaptable when they step into this competitive society after graduation. On the other hand, most students are facing a great difficulty in learning a large number of vocabularies though they do spend a lot of time and energy on it. Also, recent researches show that students don＇t like the classroom that is still teacher-centered and lecture-based. They want to be more involved in class and more responsible for their own studies. Hence, it is important to equip students with necessary strategies for dealing with vocabulary learning activities. In this paper, three strategies are recommended： extensive listening ＆ reading and contextual guesswork, communicative activities and group-work and the use of dictionary.
