COVID has already been taken as a global pandemic,the culprit of which is the virus called SARS-CoV-2.Virologists around the world have been working hard at trying to find remedies and protection methods for the world...COVID has already been taken as a global pandemic,the culprit of which is the virus called SARS-CoV-2.Virologists around the world have been working hard at trying to find remedies and protection methods for the world.This paper is a brief analysis of lexical features of English virology texts,which will show that technical words,semi-technical words,and acronyms are the three prominent lexical features of English virology tests.It may be helpful in guiding cross-language communication in the virologists’community,which the authors hope would facilitate global research on COVID.展开更多
With the development of social economy, the changing of people＇s language is becoming taster and faster. That＇s because the changing of the society requires a higher level on language. Meanwhile, the development of ...With the development of social economy, the changing of people＇s language is becoming taster and faster. That＇s because the changing of the society requires a higher level on language. Meanwhile, the development of social culture has also pushed the renewing of the language. Undoubtedly, campus is an outstanding place of gathering all the top-new words and popular phrases. If one takes a glance at what college students are talking about, it is not difficult to find that their language is put at the advanced place of the society. Therefore, the campus language could reflect the improvement of the language to the utmost. To learn English, one can＇t ignore the learning of spoken language. This paper aims at finding out the relationship between the popular language of modern American college students on the campus and the culture beneath it through analyzing the lexical features, the syntactical features, the linguistic features. It is benefit for everyone to get a better understanding of spoken English.展开更多
Since the ARPANET created by the US Department of De-fense occurred in 1969,the internet has gone through a 50-year-or-so history,and now has already become the most widely usedmedia.It is an irrefutable fact that in ...Since the ARPANET created by the US Department of De-fense occurred in 1969,the internet has gone through a 50-year-or-so history,and now has already become the most widely usedmedia.It is an irrefutable fact that in network communication Eng-lish has beena leading language from the very beginning.Withthe development of the internet technology,web-English has al-ready merged into people’s daily life.This passage will talk aboutthefeaturesofweb-Englishwords.NEOLOGISMThe expansion of vocabulary in modern English dependschiefly on word-formation.There is a variety of means at展开更多
Named entity recognition(NER)is an important part in knowledge extraction and one of the main tasks in constructing knowledge graphs.In today’s Chinese named entity recognition(CNER)task,the BERT-BiLSTM-CRF model is ...Named entity recognition(NER)is an important part in knowledge extraction and one of the main tasks in constructing knowledge graphs.In today’s Chinese named entity recognition(CNER)task,the BERT-BiLSTM-CRF model is widely used and often yields notable results.However,recognizing each entity with high accuracy remains challenging.Many entities do not appear as single words but as part of complex phrases,making it difficult to achieve accurate recognition using word embedding information alone because the intricate lexical structure often impacts the performance.To address this issue,we propose an improved Bidirectional Encoder Representations from Transformers(BERT)character word conditional random field(CRF)(BCWC)model.It incorporates a pre-trained word embedding model using the skip-gram with negative sampling(SGNS)method,alongside traditional BERT embeddings.By comparing datasets with different word segmentation tools,we obtain enhanced word embedding features for segmented data.These features are then processed using the multi-scale convolution and iterated dilated convolutional neural networks(IDCNNs)with varying expansion rates to capture features at multiple scales and extract diverse contextual information.Additionally,a multi-attention mechanism is employed to fuse word and character embeddings.Finally,CRFs are applied to learn sequence constraints and optimize entity label annotations.A series of experiments are conducted on three public datasets,demonstrating that the proposed method outperforms the recent advanced baselines.BCWC is capable to address the challenge of recognizing complex entities by combining character-level and word-level embedding information,thereby improving the accuracy of CNER.Such a model is potential to the applications of more precise knowledge extraction such as knowledge graph construction and information retrieval,particularly in domain-specific natural language processing tasks that require high entity recognition precision.展开更多
This paper is a corpus-based study which aims at analyzing lexical features of English tour commentary and creating a keyword list as teaching material.
As a key part of the manufacturing industry,the rubber and plastic industry is widely used in a variety of fields such as automotive manufacturing,construction materials,and electronics.With technological innovation,g...As a key part of the manufacturing industry,the rubber and plastic industry is widely used in a variety of fields such as automotive manufacturing,construction materials,and electronics.With technological innovation,global economic growth and infrastructure construction driving the demand for rubber and plastic materials,rubber and plastic materials play an important role in various fields,and accurate translation of the industry’s terminology is also crucial for international communication.The purpose of this paper is to explore in depth the lexical features of rubber and plastic industry terminology,including strong specialization,specialization of common vocabulary,and diversity of word formation.In view of these lexical features,relevant Chinese translation strategies are discussed to ensure the accuracy,specialization and comprehensibility of the translation of rubber and plastic industry terms.展开更多
As a branch of Business English, Exhibition English constitutes an integrated part of English for Special Purpose. This paper discusses the linguistic features of exhibition English at the lexical, grammatical and sem...As a branch of Business English, Exhibition English constitutes an integrated part of English for Special Purpose. This paper discusses the linguistic features of exhibition English at the lexical, grammatical and semantic levels, which will help us analyze the textual patterns in exhibition.展开更多
A headline is an indispensable component of a news report and is the eye of the pages on the newspapers,through which the readers can gain as much information as possible in the newspaper within the shortest time and ...A headline is an indispensable component of a news report and is the eye of the pages on the newspapers,through which the readers can gain as much information as possible in the newspaper within the shortest time and search for clues to stories that interest them,as the headline is the condensation of the whole story.Despite their own characteristic ways of editing headlines,English newspapers share something in common,namely brevity,accuracy,clarity and eye-catchingness.However,these features unique to English newspaper headlines constitute a big barrier to readers' understanding of the headlines and they may become quite at loss when reading headlines at the very beginning.This thesis aims to make an analysis of English news headlines in terms of their features at structural,lexical and rhetorical levels and hopes to help readers understand English news headline better.展开更多
Corpus-based linguistic approach is one of the most used text studies. Nowadays, stylistic analysis has been adopted to shed new light on tourism English. The topic is to apply the language theory--the stylistic analy...Corpus-based linguistic approach is one of the most used text studies. Nowadays, stylistic analysis has been adopted to shed new light on tourism English. The topic is to apply the language theory--the stylistic analysis to the tourist text analysis, to discover the style essence of Tourist English Hypertext. The stylistic features include graphological analysis of Tourist English Hypertext, lexical features in hypertext, syntactical analysis of Tourist English Hypertext. It summarizes online Tourist English Hypertext information with some typical samples, with the methods of examples and analysis. It aims to offer an in-depth insight into the stylistic features of online tourism English texts, helping people to grasp the key points of the online information when they are browsing the information on the Internet. So this paper both enlarges the application of the stylistic analysis and presents summary for online tourist information.展开更多
The current paper reviews some of the key studies into ＂China English＂ from the perspectives of World Englishes over the recent three decades in China and overseas, and it is focused on identifying the categories in...The current paper reviews some of the key studies into ＂China English＂ from the perspectives of World Englishes over the recent three decades in China and overseas, and it is focused on identifying the categories in definitions, the lexical and syntactical features, and the loan words and loaned translation in English newspapers in China. The current paper evaluates the seminal work, the key chronological studies into China English and classifies the meanings of those the loan words and loaned translation of the sampled ＂China English＂ as an Asian variety.展开更多
基金2021 Undergraduate Innovation and Entrepreneurship Training Program(No.XJ2021284)First-Class Curriculum Construction Program of USST“English Interpreting Ability Training”(YLKC202204)The Eleventh China Foreign Language Education Fund Project“On the blended teaching model of interpretation course with the synergistic development of interpretation ability and critical thinking ability”(ZGWYJYJJ11A071).
文摘COVID has already been taken as a global pandemic,the culprit of which is the virus called SARS-CoV-2.Virologists around the world have been working hard at trying to find remedies and protection methods for the world.This paper is a brief analysis of lexical features of English virology texts,which will show that technical words,semi-technical words,and acronyms are the three prominent lexical features of English virology tests.It may be helpful in guiding cross-language communication in the virologists’community,which the authors hope would facilitate global research on COVID.
文摘With the development of social economy, the changing of people＇s language is becoming taster and faster. That＇s because the changing of the society requires a higher level on language. Meanwhile, the development of social culture has also pushed the renewing of the language. Undoubtedly, campus is an outstanding place of gathering all the top-new words and popular phrases. If one takes a glance at what college students are talking about, it is not difficult to find that their language is put at the advanced place of the society. Therefore, the campus language could reflect the improvement of the language to the utmost. To learn English, one can＇t ignore the learning of spoken language. This paper aims at finding out the relationship between the popular language of modern American college students on the campus and the culture beneath it through analyzing the lexical features, the syntactical features, the linguistic features. It is benefit for everyone to get a better understanding of spoken English.
文摘Since the ARPANET created by the US Department of De-fense occurred in 1969,the internet has gone through a 50-year-or-so history,and now has already become the most widely usedmedia.It is an irrefutable fact that in network communication Eng-lish has beena leading language from the very beginning.Withthe development of the internet technology,web-English has al-ready merged into people’s daily life.This passage will talk aboutthefeaturesofweb-Englishwords.NEOLOGISMThe expansion of vocabulary in modern English dependschiefly on word-formation.There is a variety of means at
基金supported by the International Research Center of Big Data for Sustainable Development Goals under Grant No.CBAS2022GSP05the Open Fund of State Key Laboratory of Remote Sensing Science under Grant No.6142A01210404the Hubei Key Laboratory of Intelligent Geo-Information Processing under Grant No.KLIGIP-2022-B03.
文摘Named entity recognition(NER)is an important part in knowledge extraction and one of the main tasks in constructing knowledge graphs.In today’s Chinese named entity recognition(CNER)task,the BERT-BiLSTM-CRF model is widely used and often yields notable results.However,recognizing each entity with high accuracy remains challenging.Many entities do not appear as single words but as part of complex phrases,making it difficult to achieve accurate recognition using word embedding information alone because the intricate lexical structure often impacts the performance.To address this issue,we propose an improved Bidirectional Encoder Representations from Transformers(BERT)character word conditional random field(CRF)(BCWC)model.It incorporates a pre-trained word embedding model using the skip-gram with negative sampling(SGNS)method,alongside traditional BERT embeddings.By comparing datasets with different word segmentation tools,we obtain enhanced word embedding features for segmented data.These features are then processed using the multi-scale convolution and iterated dilated convolutional neural networks(IDCNNs)with varying expansion rates to capture features at multiple scales and extract diverse contextual information.Additionally,a multi-attention mechanism is employed to fuse word and character embeddings.Finally,CRFs are applied to learn sequence constraints and optimize entity label annotations.A series of experiments are conducted on three public datasets,demonstrating that the proposed method outperforms the recent advanced baselines.BCWC is capable to address the challenge of recognizing complex entities by combining character-level and word-level embedding information,thereby improving the accuracy of CNER.Such a model is potential to the applications of more precise knowledge extraction such as knowledge graph construction and information retrieval,particularly in domain-specific natural language processing tasks that require high entity recognition precision.
文摘This paper is a corpus-based study which aims at analyzing lexical features of English tour commentary and creating a keyword list as teaching material.
文摘As a key part of the manufacturing industry,the rubber and plastic industry is widely used in a variety of fields such as automotive manufacturing,construction materials,and electronics.With technological innovation,global economic growth and infrastructure construction driving the demand for rubber and plastic materials,rubber and plastic materials play an important role in various fields,and accurate translation of the industry’s terminology is also crucial for international communication.The purpose of this paper is to explore in depth the lexical features of rubber and plastic industry terminology,including strong specialization,specialization of common vocabulary,and diversity of word formation.In view of these lexical features,relevant Chinese translation strategies are discussed to ensure the accuracy,specialization and comprehensibility of the translation of rubber and plastic industry terms.
文摘As a branch of Business English, Exhibition English constitutes an integrated part of English for Special Purpose. This paper discusses the linguistic features of exhibition English at the lexical, grammatical and semantic levels, which will help us analyze the textual patterns in exhibition.
文摘A headline is an indispensable component of a news report and is the eye of the pages on the newspapers,through which the readers can gain as much information as possible in the newspaper within the shortest time and search for clues to stories that interest them,as the headline is the condensation of the whole story.Despite their own characteristic ways of editing headlines,English newspapers share something in common,namely brevity,accuracy,clarity and eye-catchingness.However,these features unique to English newspaper headlines constitute a big barrier to readers' understanding of the headlines and they may become quite at loss when reading headlines at the very beginning.This thesis aims to make an analysis of English news headlines in terms of their features at structural,lexical and rhetorical levels and hopes to help readers understand English news headline better.
文摘Corpus-based linguistic approach is one of the most used text studies. Nowadays, stylistic analysis has been adopted to shed new light on tourism English. The topic is to apply the language theory--the stylistic analysis to the tourist text analysis, to discover the style essence of Tourist English Hypertext. The stylistic features include graphological analysis of Tourist English Hypertext, lexical features in hypertext, syntactical analysis of Tourist English Hypertext. It summarizes online Tourist English Hypertext information with some typical samples, with the methods of examples and analysis. It aims to offer an in-depth insight into the stylistic features of online tourism English texts, helping people to grasp the key points of the online information when they are browsing the information on the Internet. So this paper both enlarges the application of the stylistic analysis and presents summary for online tourist information.
文摘The current paper reviews some of the key studies into ＂China English＂ from the perspectives of World Englishes over the recent three decades in China and overseas, and it is focused on identifying the categories in definitions, the lexical and syntactical features, and the loan words and loaned translation in English newspapers in China. The current paper evaluates the seminal work, the key chronological studies into China English and classifies the meanings of those the loan words and loaned translation of the sampled ＂China English＂ as an Asian variety.
