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
Chinese excellent traditional culture is the root and soul of cultural self-confidence. The ideas, traditional virtues and humanistic spirit provide an inexhaustible source of strength for Chinese spirit and national ...Chinese excellent traditional culture is the root and soul of cultural self-confidence. The ideas, traditional virtues and humanistic spirit provide an inexhaustible source of strength for Chinese spirit and national spirit. In response to the theme of the era of cultural confidence, College English teaching should be culture oriented and highlight its humanistic nature. Take corresponding teaching strategies to integrate Chinese traditional culture and advanced culture into College English teaching process. This paper discusses the author's strategy and thinking of permeating cultural self-confidence in teaching practice.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Chinese excellent traditional culture is the root and soul of cultural self-confidence. The ideas, traditional virtues and humanistic spirit provide an inexhaustible source of strength for Chinese spirit and national spirit. In response to the theme of the era of cultural confidence, College English teaching should be culture oriented and highlight its humanistic nature. Take corresponding teaching strategies to integrate Chinese traditional culture and advanced culture into College English teaching process. This paper discusses the author's strategy and thinking of permeating cultural self-confidence in teaching practice.
