The aim of this study is to identify the development patterns of subject-verb agreement acquisition by Chinese learners of English across different proficiency levels.Data are drawn from 150 written responses from Chi...The aim of this study is to identify the development patterns of subject-verb agreement acquisition by Chinese learners of English across different proficiency levels.Data are drawn from 150 written responses from Chinese Learner English Corpus across three groups:secondary school tests,CET 4,and CET 6.The study establishes clear proficiency influence on the absolute accuracy of subject-verb agreement.However,slight signs of regression are examined in CET 6 writings.Possible theoretical and pedagogical implications are discussed.展开更多
In generative grammar, through agreement, unvalued features can be valued and uninterpretable features can be deleted,observing the Principle of Full Interpretation. Through the analysis of agreement in expletive clau...In generative grammar, through agreement, unvalued features can be valued and uninterpretable features can be deleted,observing the Principle of Full Interpretation. Through the analysis of agreement in expletive clauses, we can provide a reasonable explanation to the misuse of expletives, thus proving that the theories of generative grammar, though, seemingly abstract, can best reflect the essence of language and can be applied in English education.展开更多
目的 结合不同的文本向量化方法和分类模型,评估中英文对照的X线影像学报告在分类任务中的一致性。方法 提取Medical Information Mart for Intensive Care(MIMIC)数据集中的X线影像报告并翻译为中文,使用Doc2vec、词频-逆文档频率算法...目的 结合不同的文本向量化方法和分类模型,评估中英文对照的X线影像学报告在分类任务中的一致性。方法 提取Medical Information Mart for Intensive Care(MIMIC)数据集中的X线影像报告并翻译为中文,使用Doc2vec、词频-逆文档频率算法、双向编码器表示(Bidirectional Encoder Representation from Transformers,BERT)等方法对文本进行向量化,利用随机森林、卷积神经网络(Convolutional Neural Networks,CNN)、 TextCNN、Softmax等算法和模型完成分类任务。利用一致率和Kappa值对中英文对照的影像学报告的分类结果进行一致性评价。结果 在二分类任务下,中英文版本影像学报告分类一致率可以达到0.7~0.9,Kappa值为0.3~0.7,其中BERT-Softmax模型可以得到一致率为0.922,Kappa值为0.724;在三分类任务下,中英文版本的影像学报告分类一致率可以达到0.6~0.7,Kappa值可以达到0.3~0.4;在五分类任务下,BERTSoftmax得到中英文文本分类一致率为0.744,Kappa值为0.638。结论 X线影像报告的中英文版本在分类任务中具有较高的一致性,且一致性与文本向量化方法、分类模型性能及具体分类任务有关。展开更多
The experiment presented in this research is targeting a ＇positional＇ stage of a ＇modular＇ model of speech production originally proposed by Levelt （1989）, Bock ＆ Levelt （1994）, where selected lemmas are inse...The experiment presented in this research is targeting a ＇positional＇ stage of a ＇modular＇ model of speech production originally proposed by Levelt （1989）, Bock ＆ Levelt （1994）, where selected lemmas are inserted into syntactic frames. Results suggest a difference between L1 and L2 English speakers at the positional stage. While this might suggest that the speech planning process is different in native and non-native speakers, an alternative view is also proposed that the observed differences are the result of differences in the way that linguistic forms are stored, rather than a fundamental difference in the way that speech is planned. This result indicates main verb, copula be ＆ local dependency effect are the three elements that affect the realization of English subject-verb agreement, and helps us locate the phase where L2 subject-verb agreement errors happen.展开更多
This research investigates four categories of high-frequency grammatical errors from 45 students’academic writings via script analysis.A group of 36 students responded to a questionnaire focusing on their beliefs reg...This research investigates four categories of high-frequency grammatical errors from 45 students’academic writings via script analysis.A group of 36 students responded to a questionnaire focusing on their beliefs regarding these grammatical constructions.The participants are enrolled in an international school in Suzhou City.A total of 646 sentences were analyzed,among which295(45.7%)are inaccurate.Of the 364 errors found,most of them(64.0%)fall into the category of Subject-verb agreement,followed by subordinate clauses(28.6%);errors in English existential construction and the passive voice are a few.Also,the usage rate of subordinate clause is 42.7%,of which a large proportion was incorrect.展开更多
文摘The aim of this study is to identify the development patterns of subject-verb agreement acquisition by Chinese learners of English across different proficiency levels.Data are drawn from 150 written responses from Chinese Learner English Corpus across three groups:secondary school tests,CET 4,and CET 6.The study establishes clear proficiency influence on the absolute accuracy of subject-verb agreement.However,slight signs of regression are examined in CET 6 writings.Possible theoretical and pedagogical implications are discussed.
文摘In generative grammar, through agreement, unvalued features can be valued and uninterpretable features can be deleted,observing the Principle of Full Interpretation. Through the analysis of agreement in expletive clauses, we can provide a reasonable explanation to the misuse of expletives, thus proving that the theories of generative grammar, though, seemingly abstract, can best reflect the essence of language and can be applied in English education.
文摘目的 结合不同的文本向量化方法和分类模型,评估中英文对照的X线影像学报告在分类任务中的一致性。方法 提取Medical Information Mart for Intensive Care(MIMIC)数据集中的X线影像报告并翻译为中文,使用Doc2vec、词频-逆文档频率算法、双向编码器表示(Bidirectional Encoder Representation from Transformers,BERT)等方法对文本进行向量化,利用随机森林、卷积神经网络(Convolutional Neural Networks,CNN)、 TextCNN、Softmax等算法和模型完成分类任务。利用一致率和Kappa值对中英文对照的影像学报告的分类结果进行一致性评价。结果 在二分类任务下,中英文版本影像学报告分类一致率可以达到0.7~0.9,Kappa值为0.3~0.7,其中BERT-Softmax模型可以得到一致率为0.922,Kappa值为0.724;在三分类任务下,中英文版本的影像学报告分类一致率可以达到0.6~0.7,Kappa值可以达到0.3~0.4;在五分类任务下,BERTSoftmax得到中英文文本分类一致率为0.744,Kappa值为0.638。结论 X线影像报告的中英文版本在分类任务中具有较高的一致性,且一致性与文本向量化方法、分类模型性能及具体分类任务有关。
文摘The experiment presented in this research is targeting a ＇positional＇ stage of a ＇modular＇ model of speech production originally proposed by Levelt （1989）, Bock ＆ Levelt （1994）, where selected lemmas are inserted into syntactic frames. Results suggest a difference between L1 and L2 English speakers at the positional stage. While this might suggest that the speech planning process is different in native and non-native speakers, an alternative view is also proposed that the observed differences are the result of differences in the way that linguistic forms are stored, rather than a fundamental difference in the way that speech is planned. This result indicates main verb, copula be ＆ local dependency effect are the three elements that affect the realization of English subject-verb agreement, and helps us locate the phase where L2 subject-verb agreement errors happen.
文摘This research investigates four categories of high-frequency grammatical errors from 45 students’academic writings via script analysis.A group of 36 students responded to a questionnaire focusing on their beliefs regarding these grammatical constructions.The participants are enrolled in an international school in Suzhou City.A total of 646 sentences were analyzed,among which295(45.7%)are inaccurate.Of the 364 errors found,most of them(64.0%)fall into the category of Subject-verb agreement,followed by subordinate clauses(28.6%);errors in English existential construction and the passive voice are a few.Also,the usage rate of subordinate clause is 42.7%,of which a large proportion was incorrect.
