An N-gram Chinese language model incorporating linguistic rules is presented. By constructing elements lattice, rules information is incorporated in statistical frame. To facilitate the hybrid modeling, novel methods ...An N-gram Chinese language model incorporating linguistic rules is presented. By constructing elements lattice, rules information is incorporated in statistical frame. To facilitate the hybrid modeling, novel methods such as MI-based rule evaluating, weighted rule quantification and element-based n-gram probability approximation are presented. Dynamic Viterbi algorithm is adopted to search the best path in lattice. To strengthen the model, transformation-based error-driven rules learning is adopted. Applying proposed model to Chinese Pinyin-to-character conversion, high performance has been achieved in accuracy, flexibility and robustness simultaneously. Tests show correct rate achieves 94.81% instead of 90.53% using bi-gram Markov model alone. Many long-distance dependency and recursion in language can be processed effectively.展开更多
A specific application of task-based learning in teaching vocabulary to young learners and a complete task cycle using role play to present vocabulary in China's private language school would be described in the s...A specific application of task-based learning in teaching vocabulary to young learners and a complete task cycle using role play to present vocabulary in China's private language school would be described in the study. The participants aged between 7 and 9 are thought to be starters according to their language competence in Common European Framework of Reference for language. The rationale for stages in the task cycle will be fully explored with reference to Piaget and Vygotsky's theory in teaching young learners. The advantages of the adoption of TBL with young learners will be illustrated and some possible problems in implementing TBL in China, a representative country of Confucian-heritage culture would also be discussed in the paper. The study indicates that young learners in China are quite welcome this new approach in their English classes, but the targeted learners' age and background information need to be taken into consideration when actually implement this approach.展开更多
文摘An N-gram Chinese language model incorporating linguistic rules is presented. By constructing elements lattice, rules information is incorporated in statistical frame. To facilitate the hybrid modeling, novel methods such as MI-based rule evaluating, weighted rule quantification and element-based n-gram probability approximation are presented. Dynamic Viterbi algorithm is adopted to search the best path in lattice. To strengthen the model, transformation-based error-driven rules learning is adopted. Applying proposed model to Chinese Pinyin-to-character conversion, high performance has been achieved in accuracy, flexibility and robustness simultaneously. Tests show correct rate achieves 94.81% instead of 90.53% using bi-gram Markov model alone. Many long-distance dependency and recursion in language can be processed effectively.
文摘A specific application of task-based learning in teaching vocabulary to young learners and a complete task cycle using role play to present vocabulary in China's private language school would be described in the study. The participants aged between 7 and 9 are thought to be starters according to their language competence in Common European Framework of Reference for language. The rationale for stages in the task cycle will be fully explored with reference to Piaget and Vygotsky's theory in teaching young learners. The advantages of the adoption of TBL with young learners will be illustrated and some possible problems in implementing TBL in China, a representative country of Confucian-heritage culture would also be discussed in the paper. The study indicates that young learners in China are quite welcome this new approach in their English classes, but the targeted learners' age and background information need to be taken into consideration when actually implement this approach.
