The Application and Effect Evaluation of Corpus Linguistics in English Teaching

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.

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

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 radiotelephony communications). However, English used in aviation maintenance, specifically in written documents, has not been as much researched. This paper briefly explains the main concepts considering Aviation English and pre- sents—based on previous researches—aircraft maintenance professionals’ 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 encompass English for academic purposes teaching context. For that reason, 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.

RCMR 280k:Refined Corpus for Move Recognition Based on PubMed Abstracts

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.