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The Application and Effect Evaluation of Corpus Linguistics in English Teaching
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作者 Lei Yang 《Journal of Contemporary Educational Research》 2024年第7期290-296,共7页
This paper explores the application and effect evaluation of corpus linguistics in English teaching.It first introduces the basic concepts and development history of corpus linguistics,then analyzes its connection wit... This paper explores the application and effect evaluation of corpus linguistics in English teaching.It first introduces the basic concepts and development history of corpus linguistics,then analyzes its connection with language teaching theories,discussing the advantages and challenges of using corpora in language teaching.Next,it delves into the methods and technologies for building and utilizing corpora,as well as their role in developing teaching resources.Lastly,within the framework and methods of teaching effect evaluation,specific application cases of corpus linguistics in teaching design are analyzed,and their effects are assessed.Recommendations for teaching improvement and future development directions are also proposed. 展开更多
关键词 corpus linguistics English teaching Teaching resource development corpus language analysis Effect evaluation Teaching improvement
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Overcoming Challenges in English for Aviation Maintenance: Technical Publications Selection for the Construction of a Corpus and Its Use to Teach Language Aspects Considering Learners Needs
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作者 Daniela Terenzi 《Open Journal of Applied Sciences》 2021年第10期1122-1134,共13页
Aviation English and Corpus Linguistics have been put together and focused by some investigations especially those regarding Aeronautical English (the language used between pilots and air traffic controllers in intern... Aviation English and Corpus Linguistics have been put together and focused by some investigations especially those regarding Aeronautical English (the language used between pilots and air traffic controllers in international radi<span>otelephony communications). However, English used in aviation mainten</span>ance, specifically in written documents, has not been as much researched. This pa<span>per briefly explains the main concepts considering Aviation English and </span>pre</span><span style="font-family:"">- </span><span style="font-family:"">sents—based on previous researches—aircraft maintenance professionals’</span><span style="font-family:""> needs and regulatory agencies’ requirements related to language proficiency. Afterwards, it summarizes information about the most important technical publications for aircraft maintenance and describes the compilation of the Corpus of documents related to aviation maintenance (CoDoRAM). At the end, some ways the corpus can be used to teach vocabulary and grammar in English are pointed out. Although corpus compilation and analysis have been proved to be valuable for research and instructional purposes, most of publications en<span>compass English for academic purposes teaching context. For that reason,</span> this is a way to inspire new projects related to English used in aviation maintenance and the use of corpora in English for specific purposes classes. 展开更多
关键词 English for Specific Purposes Aviation Maintenance Technical Publications corpus Compilation and analysis Teaching Challenges
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RCMR 280k:Refined Corpus for Move Recognition Based on PubMed Abstracts
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作者 Jie Li Gaihong Yu Zhixiong Zhang 《Data Intelligence》 EI 2023年第3期511-536,共26页
Existing datasets for move recognition,such as PubMed 20ok RCT,exhibit several problems that significantly impact recognition performance,especially for Background and Objective labels.In order to improve the move rec... Existing datasets for move recognition,such as PubMed 20ok RCT,exhibit several problems that significantly impact recognition performance,especially for Background and Objective labels.In order to improve the move recognition performance,we introduce a method and construct a refined corpus based on PubMed,named RCMR 280k.This corpus comprises approximately 280,000 structured abstracts,totaling 3,386,008 sentences,each sentence is labeled with one of five categories:Background,Objective,Method,Result,or Conclusion.We also construct a subset of RCMR,named RCMR_RCT,corresponding to medical subdomain of RCTs.We conduct comparison experiments using our RCMR,RCMR_RCT with PubMed 380k and PubMed 200k RCT,respectively.The best results,obtained using the MSMBERT model,show that:(1)our RCMR outperforms PubMed 380k by 0.82%,while our RCMR_RCT outperforms PubMed 200k RCT by 9.35%;(2)compared with PubMed 380k,our corpus achieve better improvement on the Results and Conclusions categories,with average F1 performance improves 1%and 0.82%,respectively;(3)compared with PubMed 200k RCT,our corpus significantly improves the performance in the Background and Objective categories,with average F1 scores improves 28.31%and 37.22%,respectively.To the best of our knowledge,our RCMR is among the rarely high-quality,resource-rich refined PubMed corpora available.Our work in this paper has been applied in the SciAlEngine,which is openly accessible for researchers to conduct move recognition task. 展开更多
关键词 Refined corpus Move recognition Sequential sentence classification corpus construction corpus analysis
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