The theory of proximization is an effective discourse strategy to study the speaker’s ability to achieve his own legitimacy or reinforce the other’s illegitimacy,and its superiority can be maximized by means of quan...The theory of proximization is an effective discourse strategy to study the speaker’s ability to achieve his own legitimacy or reinforce the other’s illegitimacy,and its superiority can be maximized by means of quantitative and comparative analysis.In this study,we collected reports on Trump’s and Biden’s policies on China to build two small corpora,with a total of 11,030 words in the Trump corpus and 17,566 words in the Biden corpus.The critical discourse analysis is combined with proximization theory.With the help of BFSU Qualitative Coder 1.2,Antconc 3.5.7,and Log-Likelihood and Chi-Square Calculator 1.0,a critical cognitive score of the relevant discourse was conducted from the perspective of proximization theory.It has been found that:(1)Both Trump and Biden administrations resort to a large number of spatial proximization strategies to build ODCs converging to IDCs with China as the ODC,posing a threat to internal physical IDCs;(2)in the use of temporal proximization strategy,both administrations use primarily modal verbs and various entities to construct ODCs that extend indefinitely into the present and future,emphasizing the urgency and the threat of the effect and reinforcing the legitimacy of their actions;(3)in terms of axiological proximization strategy,the two administrations differ greatly from each other,indicating that there are still discursive biases.展开更多
The intricate anatomy of the corpus cavernosum in both the flaccid and tumescent state has not been fully elucidated. We report our experience using a three-dimensional （3D） scanner to reconstruct cadaveric casts an...The intricate anatomy of the corpus cavernosum in both the flaccid and tumescent state has not been fully elucidated. We report our experience using a three-dimensional （3D） scanner to reconstruct cadaveric casts and compare them with 3D images of two prototypes of penile prosthesis. Two different models of the Titan Coloplast inflatable penile prosthesis were analyzed using a 3D scanner. The first was the standard model and the second was a newer model with a rounder silicone tip. Two cadaveric phalluses were harvested using Smooth-Cast 300Q polyurethane molding. The molds were excised and scanned along side the penile prosthesis. 3D scans were completed and analyzed using Leios Mesh software, and GOM Inspect software. The 3D scans demonstrated the mean human corporal radii 2 mm from the distal tip to be 36.51 mm （36.01-37.0 mm）, which is an obtuse angle. The standard Titan penile prosthesis spherical radius at the same level was 202.52 mm, while the new silicone tip prosthesis had a radius of 139.33 mm. 3D mapping further demonstrated the trajectory of the cavernosa appeared curvilinear and the distal ends appeared blunt. The use of cadaveric cavernosal molds in combination with the 3D scanner allowed us to accurately image the corpus cavernosum for the first time. Our findings suggest that anatomically accurate corporal tips appear to be relatively blunt and that the new Titan silicone tip penile prosthesis more closely resembles the human corporal tip.展开更多
Sentiment analysis(SA)of the Arabic language becomes important despite scarce annotated corpora and confined sources.Arabic affect Analysis has become an active research zone nowadays.But still,the Arabic language lag...Sentiment analysis(SA)of the Arabic language becomes important despite scarce annotated corpora and confined sources.Arabic affect Analysis has become an active research zone nowadays.But still,the Arabic language lags behind adequate language sources for enabling the SA tasks.Thus,Arabic still faces challenges in natural language processing(NLP)tasks because of its structure complexities,history,and distinct cultures.It has gained lesser effort than the other languages.This paper developed a Multi-versus Optimization with Deep Reinforcement Learning Enabled Affect Analysis(MVODRL-AA)on Arabic Corpus.The presented MVODRL-AAmodelmajorly concentrates on identifying and classifying effects or emotions that occurred in the Arabic corpus.Firstly,the MVODRL-AA model follows data pre-processing and word embedding.Next,an n-gram model is utilized to generate word embeddings.A deep Q-learning network(DQLN)model is then exploited to identify and classify the effect on the Arabic corpus.At last,the MVO algorithm is used as a hyperparameter tuning approach to adjust the hyperparameters related to the DQLN model,showing the novelty of the work.A series of simulations were carried out to exhibit the promising performance of the MVODRL-AA model.The simulation outcomes illustrate the betterment of the MVODRL-AA method over the other approaches with an accuracy of 99.27%.展开更多
The present paper reviews the theoretical framework and analytic methods of Critical Discourse Analysis （CDA） and then introduces the latest development of CDA from the perspectives of linguistic anthropology, cogni...The present paper reviews the theoretical framework and analytic methods of Critical Discourse Analysis （CDA） and then introduces the latest development of CDA from the perspectives of linguistic anthropology, cognitive linguistics and corpus linguistics. The prospect of CDA is accordingly advanced.展开更多
To achieve efficient a d compact low-dimensional features for speech emotion recognition,a novel featurereduction method using uncertain linear discriminant analysis is proposed.Using the same principles as for conven...To achieve efficient a d compact low-dimensional features for speech emotion recognition,a novel featurereduction method using uncertain linear discriminant analysis is proposed.Using the same principles as for conventional linear discriminant analysis(LDA),uncertainties of the noisy or distorted input data ae employed in order to estimate maximaiy discriminant directions.The effectiveness of the proposed uncertain LDA(ULDA)is demonstrated in the Uyghur speech emotion recognition task.The emotional features of Uyghur speech,especially,the fundamental fequency and formant,a e analyzed in the collected emotional data.Then,ULDA is employed in dimensionality reduction of emotional features and better performance is achieved compared with other dimensionality reduction techniques.The speech emotion recognition of Uyghur is implemented by feeding the low-dimensional data to support vector machine(SVM)based on the proposed ULDA.The experimental results show that when employing a appropriate uncertainty estimation algorithm,uncertain LDA outperforms the conveetional LDA counterpart on Uyghur speech emotion recognition.展开更多
This paper describes the experiments with Korean-to-Vietnamese statistical machine translation(SMT). The fact that Korean is a morphologically complex language that does not have clear optimal word boundaries causes a...This paper describes the experiments with Korean-to-Vietnamese statistical machine translation(SMT). The fact that Korean is a morphologically complex language that does not have clear optimal word boundaries causes a major problem of translating into or from Korean. To solve this problem, we present a method to conduct a Korean morphological analysis by using a pre-analyzed partial word-phrase dictionary(PWD).Besides, we build a Korean-Vietnamese parallel corpus for training SMT models by collecting text from multilingual magazines. Then, we apply such a morphology analysis to Korean sentences that are included in the collected parallel corpus as a preprocessing step. The experiment results demonstrate a remarkable improvement of Korean-to-Vietnamese translation quality in term of bi-lingual evaluation understudy(BLEU).展开更多
Sentiment Analysis(SA)of natural language text is not only a challenging process but also gains significance in various Natural Language Processing(NLP)applications.The SA is utilized in various applications,namely,ed...Sentiment Analysis(SA)of natural language text is not only a challenging process but also gains significance in various Natural Language Processing(NLP)applications.The SA is utilized in various applications,namely,education,to improve the learning and teaching processes,marketing strategies,customer trend predictions,and the stock market.Various researchers have applied lexicon-related approaches,Machine Learning(ML)techniques and so on to conduct the SA for multiple languages,for instance,English and Chinese.Due to the increased popularity of the Deep Learning models,the current study used diverse configuration settings of the Convolution Neural Network(CNN)model and conducted SA for Hindi movie reviews.The current study introduces an Effective Improved Metaheuristics with Deep Learning(DL)-Enabled Sentiment Analysis for Movie Reviews(IMDLSA-MR)model.The presented IMDLSA-MR technique initially applies different levels of pre-processing to convert the input data into a compatible format.Besides,the Term Frequency-Inverse Document Frequency(TF-IDF)model is exploited to generate the word vectors from the pre-processed data.The Deep Belief Network(DBN)model is utilized to analyse and classify the sentiments.Finally,the improved Jellyfish Search Optimization(IJSO)algorithm is utilized for optimal fine-tuning of the hyperparameters related to the DBN model,which shows the novelty of the work.Different experimental analyses were conducted to validate the better performance of the proposed IMDLSA-MR model.The comparative study outcomes highlighted the enhanced performance of the proposed IMDLSA-MR model over recent DL models with a maximum accuracy of 98.92%.展开更多
At first, this paper presents the origin, developments and main view of Error Analysis. Then, based on the theories of Error Analysis, this paper collected and analyzed 398 errors in 30 compositions randomly selected ...At first, this paper presents the origin, developments and main view of Error Analysis. Then, based on the theories of Error Analysis, this paper collected and analyzed 398 errors in 30 compositions randomly selected from CLEC, written for the exam of CET-4. The results showed that errors were mainly expressed form the aspects of usage of words and forms, and rooted from three sources, the shortage on knowledge of grammar and the lack of standardization on language usage, intralingual transfer and the interlingual transfer. Then, this paper touched upon the principles and methods of English writing to provide with some suggestions for the teaching of English writing in China.展开更多
Under the framework of system-functional linguistics theory,this article researches some content of Rotterdam rules and Customs of the People's Republic of China.Through Antconc,a tool for concordance in corpus,th...Under the framework of system-functional linguistics theory,this article researches some content of Rotterdam rules and Customs of the People's Republic of China.Through Antconc,a tool for concordance in corpus,this work compares and analyzes two legal texts in terms of modality,thematic structure and information structure,and concludes the differences in linguistic structure between English and Chinese shipping conventions.On this basis,with the three principles of purpose,coherence and faithfulness in functional theory,this work finds the functional approaches and strategies of legal and customs transport translation so as to provide some new perspectives for maritime convention translation.展开更多
Amid the increasingly severe global natural eco-environment,it is necessary to build a natural ecological civilization by constructing an ecological civilization discourse.Against this background,this study compiles a...Amid the increasingly severe global natural eco-environment,it is necessary to build a natural ecological civilization by constructing an ecological civilization discourse.Against this background,this study compiles a corpus of natural ecological discourse in the English translation of Xi Jinping:The Governance of China(short for Xi Jinping).By using Wordsmith and AntConc,this study explores the linguistic features of the ecological discourse in English translation of Xi Jinping in the following dimensions,including high-frequency words,keywords,word collocations,concordance lines.This study aims to analyze the concepts and attitudes towards natural ecology,so as to provide certain valuable insights for the construction of China’s discourse on natural ecological civilization.The study found that the natural ecology discourse involving in the English translation of Xi Jinping turned out to be ecologically beneficial.展开更多
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
Corpus is a kind of database that may contain texts in a single language(monolingual corpus)or text data in multiple languages(multilingual corpus).Most of the words can be involved in such a database,so it is provide...Corpus is a kind of database that may contain texts in a single language(monolingual corpus)or text data in multiple languages(multilingual corpus).Most of the words can be involved in such a database,so it is provided with significant realistic meaning for language learners.Also,the use of causality conjunction in Korean plays a more important guiding role in listening,speaking,reading and writing of Korean.However,the status with regard to the application of causality conjunction in Korean is not optimistic and the problems such as the improper use of language,lack of knowledge about conjunction by learners,short of professional Korean teaching consciousness by teachers and others are being,thereby seriously hindering the learning interests of Korean learners and educational progress.Thus,in accordance with research status at home and abroad,this paper carries out indepth analysis on the basic theory of corpus and Korean conjunction as well as the application of causality conjunction in Korean based on the corpus.And it can be found that the research on the application of causality conjunction in Korean based on corpus is with important value for both the flexible use of language and the improvement of comprehensive application ability of language.展开更多
The present study is a corpus-based error analysis of IL written production by Chinese EFL learners. Based on the Interlanguage theory, the research chooses the tagged WECCL as the data base, and makes an overall inve...The present study is a corpus-based error analysis of IL written production by Chinese EFL learners. Based on the Interlanguage theory, the research chooses the tagged WECCL as the data base, and makes an overall investigation of the high frequency grammatical errors committed by Chinese EFL learners.展开更多
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
Shlesinger (1998) first proposed that corpus-based interpreting studies(CIS) should be regarded as an offshoot of corpus-based translation studies (CTS).In China, owing to the development and compilation of interpreti...Shlesinger (1998) first proposed that corpus-based interpreting studies(CIS) should be regarded as an offshoot of corpus-based translation studies (CTS).In China, owing to the development and compilation of interpreting corpora, CIShas gained momentum since 2007. To review the past achievements in this regard,the present paper first summarizes four readily compiled interpreting corpora. Then,based on the China National Knowledge Infrastructure (CKNI), it conducts thestatistics mainly on relevant published papers in Chinese Social Science and Index(CSSCI) journals. Next, it pinpoints a bibliometric analysis on the data by taking intoaccount three parameters, namely, H index, reference citation and their distribution.Then, it makes a detailed review and comments on the background of CIS and itsparadigm, theoretical interpretation of CIS and the research areas of CIS, standardsof developing interpreting corpora and solutions to difficulties in compilation ofinterpreting corpora, research orientations including topics and objects. At present,although CIS have attained preliminary findings and conclusions, it has mainly reliedon the theoretical and analytical frameworks of Systemic Functional Grammar andits utility in CIS, given the fact that it has introduced few interdisciplinary studies.As a result, CIS do not take full advantage of the paradigm of corpus linguistics norexplore into such research topics as features of interpretation, interpreters’ identitiesand interpreting styles. Finally, regarding future studies, the paper proposes that CISshould foreground the relevance of improving the mechanism of interpreting corpuscompilation in order to gain ground in new research methods and perspectives.展开更多
Aim: To investigate the efficacy of two corpus luteum support programs in patients with frozen embryo transfer (FET). Methods: A retrospective analysis of the complete clinical data of 340 patients undergoing in vitro...Aim: To investigate the efficacy of two corpus luteum support programs in patients with frozen embryo transfer (FET). Methods: A retrospective analysis of the complete clinical data of 340 patients undergoing in vitro fertilization embryo transfer in the Department of Reproductive Medicine, Jingzhou Central Hospital from September 2016 to July 2018. These patients were divided into group A and B according to the luteal support program. We compared the clinical outcomes of the two corpus luteum preparations by comparing the laboratory parameters of the two groups of patients with clinical pregnancy indicators. Results: We found there was no significant difference in the results of general conditions in the two groups of patients, such as infertility age and duration, body mass index (BMI), basal follicle stimulating hormone (FSH), basal luteinizing hormone (LH), basal estrogen (E2) levels, the endometrial thickness, the number of transplanted high-quality embryos on the day of transplantation and so on (P > 0.05). We found that the implantation rate (32.55%), biochemical pregnancy rate (53.57%), and clinical pregnancy rate (51.78%) in group B were significantly higher than those in group A (25.26%, 35.11%, and 34.66%, respectively) (P 0.05). Conclusion: We conclude that patients who are scheduled for frozen embryo transfer use progesterone vaginal sustained release capsules combined with luteal progesterone luteal support, have improved clinical pregnancy rates.展开更多
Based on the English version of the Sustainability Report of China Mobile and the Annual Report of AT&T published in 2019 to 2020,this paper uses discourse analysis framework Discourse-Historical Approach.It expla...Based on the English version of the Sustainability Report of China Mobile and the Annual Report of AT&T published in 2019 to 2020,this paper uses discourse analysis framework Discourse-Historical Approach.It explains and analyses the identity of China Mobile and AT&T and discusses the ideological factors behind their images through the analysis of referential strategy,strategies of perspectivation and strategies of intensification and mitigation.By combining the use of corpus,this paper also analyses the identity of China Mobile and AT&T from the perspective of the use of high-frequency content words,modal verbs and their concordance.By doing so,the research shows that the identity created by the English version of China Mobile’s Sustainability Report is mainly authentic and practical,focusing on management and sustainable development as well as the development of technology.While the identity of AT&T is people-friendly,concerning about equity of female,male and black people,and focusing on diversity and inclusion.展开更多
文摘The theory of proximization is an effective discourse strategy to study the speaker’s ability to achieve his own legitimacy or reinforce the other’s illegitimacy,and its superiority can be maximized by means of quantitative and comparative analysis.In this study,we collected reports on Trump’s and Biden’s policies on China to build two small corpora,with a total of 11,030 words in the Trump corpus and 17,566 words in the Biden corpus.The critical discourse analysis is combined with proximization theory.With the help of BFSU Qualitative Coder 1.2,Antconc 3.5.7,and Log-Likelihood and Chi-Square Calculator 1.0,a critical cognitive score of the relevant discourse was conducted from the perspective of proximization theory.It has been found that:(1)Both Trump and Biden administrations resort to a large number of spatial proximization strategies to build ODCs converging to IDCs with China as the ODC,posing a threat to internal physical IDCs;(2)in the use of temporal proximization strategy,both administrations use primarily modal verbs and various entities to construct ODCs that extend indefinitely into the present and future,emphasizing the urgency and the threat of the effect and reinforcing the legitimacy of their actions;(3)in terms of axiological proximization strategy,the two administrations differ greatly from each other,indicating that there are still discursive biases.
文摘The intricate anatomy of the corpus cavernosum in both the flaccid and tumescent state has not been fully elucidated. We report our experience using a three-dimensional （3D） scanner to reconstruct cadaveric casts and compare them with 3D images of two prototypes of penile prosthesis. Two different models of the Titan Coloplast inflatable penile prosthesis were analyzed using a 3D scanner. The first was the standard model and the second was a newer model with a rounder silicone tip. Two cadaveric phalluses were harvested using Smooth-Cast 300Q polyurethane molding. The molds were excised and scanned along side the penile prosthesis. 3D scans were completed and analyzed using Leios Mesh software, and GOM Inspect software. The 3D scans demonstrated the mean human corporal radii 2 mm from the distal tip to be 36.51 mm （36.01-37.0 mm）, which is an obtuse angle. The standard Titan penile prosthesis spherical radius at the same level was 202.52 mm, while the new silicone tip prosthesis had a radius of 139.33 mm. 3D mapping further demonstrated the trajectory of the cavernosa appeared curvilinear and the distal ends appeared blunt. The use of cadaveric cavernosal molds in combination with the 3D scanner allowed us to accurately image the corpus cavernosum for the first time. Our findings suggest that anatomically accurate corporal tips appear to be relatively blunt and that the new Titan silicone tip penile prosthesis more closely resembles the human corporal tip.
基金Princess Nourah bint Abdulrahman University Researchers Supporting Project Number (PNURSP2022R263)Princess Nourah bint Abdulrahman University,Riyadh,Saudi Ara-bia.The authors would like to thank the Deanship of Scientific Research at Umm Al-Qura University for supporting this work by Grant Code:22UQU4340237DSR38.
文摘Sentiment analysis(SA)of the Arabic language becomes important despite scarce annotated corpora and confined sources.Arabic affect Analysis has become an active research zone nowadays.But still,the Arabic language lags behind adequate language sources for enabling the SA tasks.Thus,Arabic still faces challenges in natural language processing(NLP)tasks because of its structure complexities,history,and distinct cultures.It has gained lesser effort than the other languages.This paper developed a Multi-versus Optimization with Deep Reinforcement Learning Enabled Affect Analysis(MVODRL-AA)on Arabic Corpus.The presented MVODRL-AAmodelmajorly concentrates on identifying and classifying effects or emotions that occurred in the Arabic corpus.Firstly,the MVODRL-AA model follows data pre-processing and word embedding.Next,an n-gram model is utilized to generate word embeddings.A deep Q-learning network(DQLN)model is then exploited to identify and classify the effect on the Arabic corpus.At last,the MVO algorithm is used as a hyperparameter tuning approach to adjust the hyperparameters related to the DQLN model,showing the novelty of the work.A series of simulations were carried out to exhibit the promising performance of the MVODRL-AA model.The simulation outcomes illustrate the betterment of the MVODRL-AA method over the other approaches with an accuracy of 99.27%.
文摘The present paper reviews the theoretical framework and analytic methods of Critical Discourse Analysis （CDA） and then introduces the latest development of CDA from the perspectives of linguistic anthropology, cognitive linguistics and corpus linguistics. The prospect of CDA is accordingly advanced.
基金The National Natural Science Foundation of China(No.61673108,61231002)
文摘To achieve efficient a d compact low-dimensional features for speech emotion recognition,a novel featurereduction method using uncertain linear discriminant analysis is proposed.Using the same principles as for conventional linear discriminant analysis(LDA),uncertainties of the noisy or distorted input data ae employed in order to estimate maximaiy discriminant directions.The effectiveness of the proposed uncertain LDA(ULDA)is demonstrated in the Uyghur speech emotion recognition task.The emotional features of Uyghur speech,especially,the fundamental fequency and formant,a e analyzed in the collected emotional data.Then,ULDA is employed in dimensionality reduction of emotional features and better performance is achieved compared with other dimensionality reduction techniques.The speech emotion recognition of Uyghur is implemented by feeding the low-dimensional data to support vector machine(SVM)based on the proposed ULDA.The experimental results show that when employing a appropriate uncertainty estimation algorithm,uncertain LDA outperforms the conveetional LDA counterpart on Uyghur speech emotion recognition.
基金supported by the Institute for Information&communications Technology Promotion under Grant No.R0101-16-0176the Project of Core Technology Development for Human-Like Self-Taught Learning Based on Symbolic Approach
文摘This paper describes the experiments with Korean-to-Vietnamese statistical machine translation(SMT). The fact that Korean is a morphologically complex language that does not have clear optimal word boundaries causes a major problem of translating into or from Korean. To solve this problem, we present a method to conduct a Korean morphological analysis by using a pre-analyzed partial word-phrase dictionary(PWD).Besides, we build a Korean-Vietnamese parallel corpus for training SMT models by collecting text from multilingual magazines. Then, we apply such a morphology analysis to Korean sentences that are included in the collected parallel corpus as a preprocessing step. The experiment results demonstrate a remarkable improvement of Korean-to-Vietnamese translation quality in term of bi-lingual evaluation understudy(BLEU).
基金Princess Nourah bint Abdulrahman University Researchers Supporting Project Number(PNURSP2023R161)Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia.The authors would like to thank the Deanship of Scientific Research at Umm Al-Qura University for supporting this work by Grant Code:22UQU4340237DSR51).
文摘Sentiment Analysis(SA)of natural language text is not only a challenging process but also gains significance in various Natural Language Processing(NLP)applications.The SA is utilized in various applications,namely,education,to improve the learning and teaching processes,marketing strategies,customer trend predictions,and the stock market.Various researchers have applied lexicon-related approaches,Machine Learning(ML)techniques and so on to conduct the SA for multiple languages,for instance,English and Chinese.Due to the increased popularity of the Deep Learning models,the current study used diverse configuration settings of the Convolution Neural Network(CNN)model and conducted SA for Hindi movie reviews.The current study introduces an Effective Improved Metaheuristics with Deep Learning(DL)-Enabled Sentiment Analysis for Movie Reviews(IMDLSA-MR)model.The presented IMDLSA-MR technique initially applies different levels of pre-processing to convert the input data into a compatible format.Besides,the Term Frequency-Inverse Document Frequency(TF-IDF)model is exploited to generate the word vectors from the pre-processed data.The Deep Belief Network(DBN)model is utilized to analyse and classify the sentiments.Finally,the improved Jellyfish Search Optimization(IJSO)algorithm is utilized for optimal fine-tuning of the hyperparameters related to the DBN model,which shows the novelty of the work.Different experimental analyses were conducted to validate the better performance of the proposed IMDLSA-MR model.The comparative study outcomes highlighted the enhanced performance of the proposed IMDLSA-MR model over recent DL models with a maximum accuracy of 98.92%.
文摘At first, this paper presents the origin, developments and main view of Error Analysis. Then, based on the theories of Error Analysis, this paper collected and analyzed 398 errors in 30 compositions randomly selected from CLEC, written for the exam of CET-4. The results showed that errors were mainly expressed form the aspects of usage of words and forms, and rooted from three sources, the shortage on knowledge of grammar and the lack of standardization on language usage, intralingual transfer and the interlingual transfer. Then, this paper touched upon the principles and methods of English writing to provide with some suggestions for the teaching of English writing in China.
文摘Under the framework of system-functional linguistics theory,this article researches some content of Rotterdam rules and Customs of the People's Republic of China.Through Antconc,a tool for concordance in corpus,this work compares and analyzes two legal texts in terms of modality,thematic structure and information structure,and concludes the differences in linguistic structure between English and Chinese shipping conventions.On this basis,with the three principles of purpose,coherence and faithfulness in functional theory,this work finds the functional approaches and strategies of legal and customs transport translation so as to provide some new perspectives for maritime convention translation.
文摘Amid the increasingly severe global natural eco-environment,it is necessary to build a natural ecological civilization by constructing an ecological civilization discourse.Against this background,this study compiles a corpus of natural ecological discourse in the English translation of Xi Jinping:The Governance of China(short for Xi Jinping).By using Wordsmith and AntConc,this study explores the linguistic features of the ecological discourse in English translation of Xi Jinping in the following dimensions,including high-frequency words,keywords,word collocations,concordance lines.This study aims to analyze the concepts and attitudes towards natural ecology,so as to provide certain valuable insights for the construction of China’s discourse on natural ecological civilization.The study found that the natural ecology discourse involving in the English translation of Xi Jinping turned out to be ecologically beneficial.
文摘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.
文摘Corpus is a kind of database that may contain texts in a single language(monolingual corpus)or text data in multiple languages(multilingual corpus).Most of the words can be involved in such a database,so it is provided with significant realistic meaning for language learners.Also,the use of causality conjunction in Korean plays a more important guiding role in listening,speaking,reading and writing of Korean.However,the status with regard to the application of causality conjunction in Korean is not optimistic and the problems such as the improper use of language,lack of knowledge about conjunction by learners,short of professional Korean teaching consciousness by teachers and others are being,thereby seriously hindering the learning interests of Korean learners and educational progress.Thus,in accordance with research status at home and abroad,this paper carries out indepth analysis on the basic theory of corpus and Korean conjunction as well as the application of causality conjunction in Korean based on the corpus.And it can be found that the research on the application of causality conjunction in Korean based on corpus is with important value for both the flexible use of language and the improvement of comprehensive application ability of language.
文摘The present study is a corpus-based error analysis of IL written production by Chinese EFL learners. Based on the Interlanguage theory, the research chooses the tagged WECCL as the data base, and makes an overall investigation of the high frequency grammatical errors committed by Chinese EFL learners.
文摘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.
文摘Shlesinger (1998) first proposed that corpus-based interpreting studies(CIS) should be regarded as an offshoot of corpus-based translation studies (CTS).In China, owing to the development and compilation of interpreting corpora, CIShas gained momentum since 2007. To review the past achievements in this regard,the present paper first summarizes four readily compiled interpreting corpora. Then,based on the China National Knowledge Infrastructure (CKNI), it conducts thestatistics mainly on relevant published papers in Chinese Social Science and Index(CSSCI) journals. Next, it pinpoints a bibliometric analysis on the data by taking intoaccount three parameters, namely, H index, reference citation and their distribution.Then, it makes a detailed review and comments on the background of CIS and itsparadigm, theoretical interpretation of CIS and the research areas of CIS, standardsof developing interpreting corpora and solutions to difficulties in compilation ofinterpreting corpora, research orientations including topics and objects. At present,although CIS have attained preliminary findings and conclusions, it has mainly reliedon the theoretical and analytical frameworks of Systemic Functional Grammar andits utility in CIS, given the fact that it has introduced few interdisciplinary studies.As a result, CIS do not take full advantage of the paradigm of corpus linguistics norexplore into such research topics as features of interpretation, interpreters’ identitiesand interpreting styles. Finally, regarding future studies, the paper proposes that CISshould foreground the relevance of improving the mechanism of interpreting corpuscompilation in order to gain ground in new research methods and perspectives.
文摘Aim: To investigate the efficacy of two corpus luteum support programs in patients with frozen embryo transfer (FET). Methods: A retrospective analysis of the complete clinical data of 340 patients undergoing in vitro fertilization embryo transfer in the Department of Reproductive Medicine, Jingzhou Central Hospital from September 2016 to July 2018. These patients were divided into group A and B according to the luteal support program. We compared the clinical outcomes of the two corpus luteum preparations by comparing the laboratory parameters of the two groups of patients with clinical pregnancy indicators. Results: We found there was no significant difference in the results of general conditions in the two groups of patients, such as infertility age and duration, body mass index (BMI), basal follicle stimulating hormone (FSH), basal luteinizing hormone (LH), basal estrogen (E2) levels, the endometrial thickness, the number of transplanted high-quality embryos on the day of transplantation and so on (P > 0.05). We found that the implantation rate (32.55%), biochemical pregnancy rate (53.57%), and clinical pregnancy rate (51.78%) in group B were significantly higher than those in group A (25.26%, 35.11%, and 34.66%, respectively) (P 0.05). Conclusion: We conclude that patients who are scheduled for frozen embryo transfer use progesterone vaginal sustained release capsules combined with luteal progesterone luteal support, have improved clinical pregnancy rates.
文摘Based on the English version of the Sustainability Report of China Mobile and the Annual Report of AT&T published in 2019 to 2020,this paper uses discourse analysis framework Discourse-Historical Approach.It explains and analyses the identity of China Mobile and AT&T and discusses the ideological factors behind their images through the analysis of referential strategy,strategies of perspectivation and strategies of intensification and mitigation.By combining the use of corpus,this paper also analyses the identity of China Mobile and AT&T from the perspective of the use of high-frequency content words,modal verbs and their concordance.By doing so,the research shows that the identity created by the English version of China Mobile’s Sustainability Report is mainly authentic and practical,focusing on management and sustainable development as well as the development of technology.While the identity of AT&T is people-friendly,concerning about equity of female,male and black people,and focusing on diversity and inclusion.
