Vocabulary knowledge is an important component of the writing skill and it has many dimensions, such as size, depth, and productive, in interaction with writing skill. To evaluate this relation and determine which dim...Vocabulary knowledge is an important component of the writing skill and it has many dimensions, such as size, depth, and productive, in interaction with writing skill. To evaluate this relation and determine which dimension is the most effective for second language writing quality, the present study was conducted. Turkish EFL （English as a Foreign Language） learners＇ lexical competence and writing abilities were examined through their vocabulary profiles and academic essays. The results of each vocabulary measure indicated that the participants had a limited vocabulary size, containing words mostly from 2,000 to 3,000 frequency bands and thus, the productive vocabulary knowledge of the participants mostly consisted of lk ＋ 2k words and the use of academic words in their essays was very low. The results of the study revealed that the lexical competence covering the main components of vocabulary knowledge was a good predictor of the students＇ quality of writing performance.展开更多
Lexicalized reordering models are very important components of phrasebased translation systems.By examining the reordering relationships between adjacent phrases,conventional methods learn these models from the word a...Lexicalized reordering models are very important components of phrasebased translation systems.By examining the reordering relationships between adjacent phrases,conventional methods learn these models from the word aligned bilingual corpus,while ignoring the effect of the number of adjacent bilingual phrases.In this paper,we propose a method to take the number of adjacent phrases into account for better estimation of reordering models.Instead of just checking whether there is one phrase adjacent to a given phrase,our method firstly uses a compact structure named reordering graph to represent all phrase segmentations of a parallel sentence,then the effect of the adjacent phrase number can be quantified in a forward-backward fashion,and finally incorporated into the estimation of reordering models.Experimental results on the NIST Chinese-English and WMT French-Spanish data sets show that our approach significantly outperforms the baseline method.展开更多
文摘Vocabulary knowledge is an important component of the writing skill and it has many dimensions, such as size, depth, and productive, in interaction with writing skill. To evaluate this relation and determine which dimension is the most effective for second language writing quality, the present study was conducted. Turkish EFL （English as a Foreign Language） learners＇ lexical competence and writing abilities were examined through their vocabulary profiles and academic essays. The results of each vocabulary measure indicated that the participants had a limited vocabulary size, containing words mostly from 2,000 to 3,000 frequency bands and thus, the productive vocabulary knowledge of the participants mostly consisted of lk ＋ 2k words and the use of academic words in their essays was very low. The results of the study revealed that the lexical competence covering the main components of vocabulary knowledge was a good predictor of the students＇ quality of writing performance.
基金supported by the National Natural Science Foundation of China（No.61303082） the Research Fund for the Doctoral Program of Higher Education of China（No.20120121120046）
文摘Lexicalized reordering models are very important components of phrasebased translation systems.By examining the reordering relationships between adjacent phrases,conventional methods learn these models from the word aligned bilingual corpus,while ignoring the effect of the number of adjacent bilingual phrases.In this paper,we propose a method to take the number of adjacent phrases into account for better estimation of reordering models.Instead of just checking whether there is one phrase adjacent to a given phrase,our method firstly uses a compact structure named reordering graph to represent all phrase segmentations of a parallel sentence,then the effect of the adjacent phrase number can be quantified in a forward-backward fashion,and finally incorporated into the estimation of reordering models.Experimental results on the NIST Chinese-English and WMT French-Spanish data sets show that our approach significantly outperforms the baseline method.
