In this paper, we present a modular incremental statistical model for English full parsing. Unlike other full parsing approaches in which the analysis of the sentence is a uniform process, our model separates the full...In this paper, we present a modular incremental statistical model for English full parsing. Unlike other full parsing approaches in which the analysis of the sentence is a uniform process, our model separates the full parsing into shallow parsing and sentence skeleton parsing. In shallow parsing, we finish POS tagging, Base NP identification, prepositional phrase attachment and subordinate clause identification. In skeleton parsing, we use a layered feature-oriented statistical method. Modularity possesses the advantage of solving different problems in parsing with corresponding mechanisms. Feature-oriented rule is able to express the complex lingual phenomena at the key point if needed. Evaluated on Penn Treebank corpus, we obtained 89.2% precision and 89.8% recall.展开更多
CR theory focuses on the study of academic or professional writing across different cultural settings. One recurring question of CR theory in the Chinese ESL context is whether the rhetorical differences in organizati...CR theory focuses on the study of academic or professional writing across different cultural settings. One recurring question of CR theory in the Chinese ESL context is whether the rhetorical differences in organization, modeling, and syntax between Chinese and English writing indeed exist, and if so how they affect ESL writing. Through examining the controversies surrounding these rhetorical differences along with a brief review of the development of CR theory and pedagogical implications, this paper contends that the study of CR theory has exerted beneficial influences on L2 writing.展开更多
文摘In this paper, we present a modular incremental statistical model for English full parsing. Unlike other full parsing approaches in which the analysis of the sentence is a uniform process, our model separates the full parsing into shallow parsing and sentence skeleton parsing. In shallow parsing, we finish POS tagging, Base NP identification, prepositional phrase attachment and subordinate clause identification. In skeleton parsing, we use a layered feature-oriented statistical method. Modularity possesses the advantage of solving different problems in parsing with corresponding mechanisms. Feature-oriented rule is able to express the complex lingual phenomena at the key point if needed. Evaluated on Penn Treebank corpus, we obtained 89.2% precision and 89.8% recall.
文摘CR theory focuses on the study of academic or professional writing across different cultural settings. One recurring question of CR theory in the Chinese ESL context is whether the rhetorical differences in organization, modeling, and syntax between Chinese and English writing indeed exist, and if so how they affect ESL writing. Through examining the controversies surrounding these rhetorical differences along with a brief review of the development of CR theory and pedagogical implications, this paper contends that the study of CR theory has exerted beneficial influences on L2 writing.
