Although research on teaching materials use has important implications for materials development,little literature examines how teachers actually use materials in the classroom.The present study,taking the theoretical...Although research on teaching materials use has important implications for materials development,little literature examines how teachers actually use materials in the classroom.The present study,taking the theoretical framework for using and evaluating Production-Oriented Approach(POA)teaching materials(Wen,2017),explores the procedure and the rationale of an experienced Chinese university EFL teacher’s use of POA teaching materials.Multiple methods were employed in data collection,including classroom observations,teacher interviews,the teacher’s lesson plans,and PowerPoints,as well as students’written and oral products.Data analysis showed that the teacher followed a three-phase process of materials use.Before class,teaching objectives were set,materials were selected,adapted,and then transformed into teaching activities.During class,the teaching activities were implemented with the materials.After class,the effectiveness of using the materials was assessed.The study revealed that the teacher played an active role in practicing the essential POA principles of“productive-objectives-determined”and“input-in-service-to-output”in the entire process of material use.展开更多
A hybrid approach to English Part-of-Speech(PoS) tagging with its target application being English-Chinese machine translation in business domain is presented,demonstrating how a present tagger can be adapted to learn...A hybrid approach to English Part-of-Speech(PoS) tagging with its target application being English-Chinese machine translation in business domain is presented,demonstrating how a present tagger can be adapted to learn from a small amount of data and handle unknown words for the purpose of machine translation.A small size of 998 k English annotated corpus in business domain is built semi-automatically based on a new tagset;the maximum entropy model is adopted,and rule-based approach is used in post-processing.The tagger is further applied in Noun Phrase(NP) chunking.Experiments show that our tagger achieves an accuracy of 98.14%,which is a quite satisfactory result.In the application to NP chunking,the tagger gives rise to 2.21% increase in F-score,compared with the results using Stanford tagger.展开更多
文摘Although research on teaching materials use has important implications for materials development,little literature examines how teachers actually use materials in the classroom.The present study,taking the theoretical framework for using and evaluating Production-Oriented Approach(POA)teaching materials(Wen,2017),explores the procedure and the rationale of an experienced Chinese university EFL teacher’s use of POA teaching materials.Multiple methods were employed in data collection,including classroom observations,teacher interviews,the teacher’s lesson plans,and PowerPoints,as well as students’written and oral products.Data analysis showed that the teacher followed a three-phase process of materials use.Before class,teaching objectives were set,materials were selected,adapted,and then transformed into teaching activities.During class,the teaching activities were implemented with the materials.After class,the effectiveness of using the materials was assessed.The study revealed that the teacher played an active role in practicing the essential POA principles of“productive-objectives-determined”and“input-in-service-to-output”in the entire process of material use.
基金supported by the National Natural Science Foundation of China under Grant No.61173100the Fundamental Research Funds for the Central Universities under Grant No.GDUT10RW202
文摘A hybrid approach to English Part-of-Speech(PoS) tagging with its target application being English-Chinese machine translation in business domain is presented,demonstrating how a present tagger can be adapted to learn from a small amount of data and handle unknown words for the purpose of machine translation.A small size of 998 k English annotated corpus in business domain is built semi-automatically based on a new tagset;the maximum entropy model is adopted,and rule-based approach is used in post-processing.The tagger is further applied in Noun Phrase(NP) chunking.Experiments show that our tagger achieves an accuracy of 98.14%,which is a quite satisfactory result.In the application to NP chunking,the tagger gives rise to 2.21% increase in F-score,compared with the results using Stanford tagger.
