Purpose:Evaluating the quality of academic journal articles is a time consuming but critical task for national research evaluation exercises,appointments and promotion.It is therefore important to investigate whether ...Purpose:Evaluating the quality of academic journal articles is a time consuming but critical task for national research evaluation exercises,appointments and promotion.It is therefore important to investigate whether Large Language Models(LLMs)can play a role in this process.Design/methodology/approach:This article assesses which ChatGPT inputs(full text without tables,figures,and references;title and abstract;title only)produce better quality score estimates,and the extent to which scores are affected by ChatGPT models and system prompts.Findings:The optimal input is the article title and abstract,with average ChatGPT scores based on these(30 iterations on a dataset of 51 papers)correlating at 0.67 with human scores,the highest ever reported.ChatGPT 4o is slightly better than 3.5-turbo(0.66),and 4o-mini(0.66).Research limitations:The data is a convenience sample of the work of a single author,it only includes one field,and the scores are self-evaluations.Practical implications:The results suggest that article full texts might confuse LLM research quality evaluations,even though complex system instructions for the task are more effective than simple ones.Thus,whilst abstracts contain insufficient information for a thorough assessment of rigour,they may contain strong pointers about originality and significance.Finally,linear regression can be used to convert the model scores into the human scale scores,which is 31%more accurate than guessing.Originality/value:This is the first systematic comparison of the impact of different prompts,parameters and inputs for ChatGPT research quality evaluations.展开更多
Many countries have language policies with the purpose of promoting or discouraging the use of a particular language or a set of languages. In a multilingual country, the official language(s) is always favored by the ...Many countries have language policies with the purpose of promoting or discouraging the use of a particular language or a set of languages. In a multilingual country, the official language(s) is always favored by the national language policy; in contrast, the minority languages, to some extent, are hindered in their development. This paper, by the case studies of minority languages in New Zealand, Netherlands, and China, illustrates the effects of these countries' general language policies on their minority languages. Minority languages are seen as a part of cultural identity of minority groups. To protect their own culture and identity, they devote themselves to seek the equal right for their languages and cultures. In making language policies, the authorities should give respect and regard to the minority languages.展开更多
This paper outlines a framework to use computer and natural language techniques for various levels of learners to learn foreign languages in Computer-based Learning environment.We propose some ideas for using the comp...This paper outlines a framework to use computer and natural language techniques for various levels of learners to learn foreign languages in Computer-based Learning environment.We propose some ideas for using the computer as a practical tool for learning foreign language where the most of courseware is generated automatically.We then describe how to build Computer-based Learning tools,discuss its effectiveness,and conclude with some possibilities using on-line resources.展开更多
With the affecting story and special narrative technique,The King’s Speech has won the favor of audience at home and abroad.The great friendship between the two protagonist leaves impresses audience deeply,while beyo...With the affecting story and special narrative technique,The King’s Speech has won the favor of audience at home and abroad.The great friendship between the two protagonist leaves impresses audience deeply,while beyond that,the excellent appliance and transference of camera lens has also shocked the public.This paper aims to interpret how the camera language reflect the artistic charm in the film through aspects like deviating and full-length shots Languages,wide-angle lens languages,montage Languages.展开更多
Throughout time,healers,philosophers,scientists,and teachers have recognized the place of music for therapeutic and developmental functions(Bancroft,1985:3-7).Researchers over the last twenty years have made astoundin...Throughout time,healers,philosophers,scientists,and teachers have recognized the place of music for therapeutic and developmental functions(Bancroft,1985:3-7).Researchers over the last twenty years have made astounding advances in the the ory of language acquisition.Many find the pedagogical conjoining of language and music compelling.The first part of this review focuses on the historical and developmental proofs of music' s relationship with language learning.In part two,neurological the ory on music and the mind are covered.Part three summarizes scholarly inquiry on the use of music for learning languages,espe cially those studies that could prove most instructive both for language teachers and for music therapists in the development of curricula.展开更多
In the field of sociolinguistics,language attitude is an important content which reflects the conception and perception of language by speakers.The paper tries to explore different language attitudes towards standard ...In the field of sociolinguistics,language attitude is an important content which reflects the conception and perception of language by speakers.The paper tries to explore different language attitudes towards standard language and dialect among international students and English instructors in the ESL language school.Participants were all interviewed by means of conversation recordings in the ESL language school.The results indicated that the majority of the ESL language school speakers kept a positive attitude towards their standard languages and dialects.The educational methods of parents had an influence on the choice of standard language and dialect towards speakers,and participants also expressed a strong social identity when they talked about their languages.Those findings illustrate the significance of the study of language attitudes in the ESL language school center.展开更多
There are no handles upon a language Whereby men take hold of it And mark it with signs for its remembrance.It is a river,this language,Once in a thousand years Breaking a new course Changing its way to the ocean.It i...There are no handles upon a language Whereby men take hold of it And mark it with signs for its remembrance.It is a river,this language,Once in a thousand years Breaking a new course Changing its way to the ocean.It is mountain effluvia Moving to valleys And from nation to nation Crossing borders and mixing.展开更多
According to a survey published by the European Commission,the British are officially the worst language learners in Europe—62 percent of them can’t speak any other language apart from their own!While 38 percent of ...According to a survey published by the European Commission,the British are officially the worst language learners in Europe—62 percent of them can’t speak any other language apart from their own!While 38 percent of Britons speak at least one foreign language,only 18 percent speak two.展开更多
The exponential growth of literature is constraining researchers’access to comprehensive information in related fields.While natural language processing(NLP)may offer an effective solution to literature classificatio...The exponential growth of literature is constraining researchers’access to comprehensive information in related fields.While natural language processing(NLP)may offer an effective solution to literature classification,it remains hindered by the lack of labelled dataset.In this article,we introduce a novel method for generating literature classification models through semi-supervised learning,which can generate labelled dataset iteratively with limited human input.We apply this method to train NLP models for classifying literatures related to several research directions,i.e.,battery,superconductor,topological material,and artificial intelligence(AI)in materials science.The trained NLP‘battery’model applied on a larger dataset different from the training and testing dataset can achieve F1 score of 0.738,which indicates the accuracy and reliability of this scheme.Furthermore,our approach demonstrates that even with insufficient data,the not-well-trained model in the first few cycles can identify the relationships among different research fields and facilitate the discovery and understanding of interdisciplinary directions.展开更多
High-angle annular dark field(HAADF)imaging in scanning transmission electron microscopy(STEM)has become an indispensable tool in materials science due to its ability to offer sub-°A resolution and provide chemic...High-angle annular dark field(HAADF)imaging in scanning transmission electron microscopy(STEM)has become an indispensable tool in materials science due to its ability to offer sub-°A resolution and provide chemical information through Z-contrast.This study leverages large language models(LLMs)to conduct a comprehensive bibliometric analysis of a large amount of HAADF-related literature(more than 41000 papers).By using LLMs,specifically ChatGPT,we were able to extract detailed information on applications,sample preparation methods,instruments used,and study conclusions.The findings highlight the capability of LLMs to provide a new perspective into HAADF imaging,underscoring its increasingly important role in materials science.Moreover,the rich information extracted from these publications can be harnessed to develop AI models that enhance the automation and intelligence of electron microscopes.展开更多
A large language model(LLM)is constructed to address the sophisticated demands of data retrieval and analysis,detailed well profiling,computation of key technical indicators,and the solutions to complex problems in re...A large language model(LLM)is constructed to address the sophisticated demands of data retrieval and analysis,detailed well profiling,computation of key technical indicators,and the solutions to complex problems in reservoir performance analysis(RPA).The LLM is constructed for RPA scenarios with incremental pre-training,fine-tuning,and functional subsystems coupling.Functional subsystem and efficient coupling methods are proposed based on named entity recognition(NER),tool invocation,and Text-to-SQL construction,all aimed at resolving pivotal challenges in developing the specific application of LLMs for RDA.This study conducted a detailed accuracy test on feature extraction models,tool classification models,data retrieval models and analysis recommendation models.The results indicate that these models have demonstrated good performance in various key aspects of reservoir dynamic analysis.The research takes some injection and production well groups in the PK3 Block of the Daqing Oilfield as an example for testing.Testing results show that our model has significant potential and practical value in assisting reservoir engineers with RDA.The research results provide a powerful support to the application of LLM in reservoir performance analysis.展开更多
文摘Purpose:Evaluating the quality of academic journal articles is a time consuming but critical task for national research evaluation exercises,appointments and promotion.It is therefore important to investigate whether Large Language Models(LLMs)can play a role in this process.Design/methodology/approach:This article assesses which ChatGPT inputs(full text without tables,figures,and references;title and abstract;title only)produce better quality score estimates,and the extent to which scores are affected by ChatGPT models and system prompts.Findings:The optimal input is the article title and abstract,with average ChatGPT scores based on these(30 iterations on a dataset of 51 papers)correlating at 0.67 with human scores,the highest ever reported.ChatGPT 4o is slightly better than 3.5-turbo(0.66),and 4o-mini(0.66).Research limitations:The data is a convenience sample of the work of a single author,it only includes one field,and the scores are self-evaluations.Practical implications:The results suggest that article full texts might confuse LLM research quality evaluations,even though complex system instructions for the task are more effective than simple ones.Thus,whilst abstracts contain insufficient information for a thorough assessment of rigour,they may contain strong pointers about originality and significance.Finally,linear regression can be used to convert the model scores into the human scale scores,which is 31%more accurate than guessing.Originality/value:This is the first systematic comparison of the impact of different prompts,parameters and inputs for ChatGPT research quality evaluations.
文摘Many countries have language policies with the purpose of promoting or discouraging the use of a particular language or a set of languages. In a multilingual country, the official language(s) is always favored by the national language policy; in contrast, the minority languages, to some extent, are hindered in their development. This paper, by the case studies of minority languages in New Zealand, Netherlands, and China, illustrates the effects of these countries' general language policies on their minority languages. Minority languages are seen as a part of cultural identity of minority groups. To protect their own culture and identity, they devote themselves to seek the equal right for their languages and cultures. In making language policies, the authorities should give respect and regard to the minority languages.
文摘This paper outlines a framework to use computer and natural language techniques for various levels of learners to learn foreign languages in Computer-based Learning environment.We propose some ideas for using the computer as a practical tool for learning foreign language where the most of courseware is generated automatically.We then describe how to build Computer-based Learning tools,discuss its effectiveness,and conclude with some possibilities using on-line resources.
文摘With the affecting story and special narrative technique,The King’s Speech has won the favor of audience at home and abroad.The great friendship between the two protagonist leaves impresses audience deeply,while beyond that,the excellent appliance and transference of camera lens has also shocked the public.This paper aims to interpret how the camera language reflect the artistic charm in the film through aspects like deviating and full-length shots Languages,wide-angle lens languages,montage Languages.
文摘Throughout time,healers,philosophers,scientists,and teachers have recognized the place of music for therapeutic and developmental functions(Bancroft,1985:3-7).Researchers over the last twenty years have made astounding advances in the the ory of language acquisition.Many find the pedagogical conjoining of language and music compelling.The first part of this review focuses on the historical and developmental proofs of music' s relationship with language learning.In part two,neurological the ory on music and the mind are covered.Part three summarizes scholarly inquiry on the use of music for learning languages,espe cially those studies that could prove most instructive both for language teachers and for music therapists in the development of curricula.
文摘In the field of sociolinguistics,language attitude is an important content which reflects the conception and perception of language by speakers.The paper tries to explore different language attitudes towards standard language and dialect among international students and English instructors in the ESL language school.Participants were all interviewed by means of conversation recordings in the ESL language school.The results indicated that the majority of the ESL language school speakers kept a positive attitude towards their standard languages and dialects.The educational methods of parents had an influence on the choice of standard language and dialect towards speakers,and participants also expressed a strong social identity when they talked about their languages.Those findings illustrate the significance of the study of language attitudes in the ESL language school center.
文摘There are no handles upon a language Whereby men take hold of it And mark it with signs for its remembrance.It is a river,this language,Once in a thousand years Breaking a new course Changing its way to the ocean.It is mountain effluvia Moving to valleys And from nation to nation Crossing borders and mixing.
文摘According to a survey published by the European Commission,the British are officially the worst language learners in Europe—62 percent of them can’t speak any other language apart from their own!While 38 percent of Britons speak at least one foreign language,only 18 percent speak two.
基金funded by the Informatization Plan of Chinese Academy of Sciences(Grant No.CASWX2021SF-0102)the National Key R&D Program of China(Grant Nos.2022YFA1603903,2022YFA1403800,and 2021YFA0718700)+1 种基金the National Natural Science Foundation of China(Grant Nos.11925408,11921004,and 12188101)the Chinese Academy of Sciences(Grant No.XDB33000000)。
文摘The exponential growth of literature is constraining researchers’access to comprehensive information in related fields.While natural language processing(NLP)may offer an effective solution to literature classification,it remains hindered by the lack of labelled dataset.In this article,we introduce a novel method for generating literature classification models through semi-supervised learning,which can generate labelled dataset iteratively with limited human input.We apply this method to train NLP models for classifying literatures related to several research directions,i.e.,battery,superconductor,topological material,and artificial intelligence(AI)in materials science.The trained NLP‘battery’model applied on a larger dataset different from the training and testing dataset can achieve F1 score of 0.738,which indicates the accuracy and reliability of this scheme.Furthermore,our approach demonstrates that even with insufficient data,the not-well-trained model in the first few cycles can identify the relationships among different research fields and facilitate the discovery and understanding of interdisciplinary directions.
基金National Research Foundation(NRF)Singapore,under its NRF Fellowship(Grant No.NRFNRFF11-2019-0002).
文摘High-angle annular dark field(HAADF)imaging in scanning transmission electron microscopy(STEM)has become an indispensable tool in materials science due to its ability to offer sub-°A resolution and provide chemical information through Z-contrast.This study leverages large language models(LLMs)to conduct a comprehensive bibliometric analysis of a large amount of HAADF-related literature(more than 41000 papers).By using LLMs,specifically ChatGPT,we were able to extract detailed information on applications,sample preparation methods,instruments used,and study conclusions.The findings highlight the capability of LLMs to provide a new perspective into HAADF imaging,underscoring its increasingly important role in materials science.Moreover,the rich information extracted from these publications can be harnessed to develop AI models that enhance the automation and intelligence of electron microscopes.
基金Supported by the National Talent Fund of the Ministry of Science and Technology of China(20230240011)China University of Geosciences(Wuhan)Research Fund(162301192687)。
文摘A large language model(LLM)is constructed to address the sophisticated demands of data retrieval and analysis,detailed well profiling,computation of key technical indicators,and the solutions to complex problems in reservoir performance analysis(RPA).The LLM is constructed for RPA scenarios with incremental pre-training,fine-tuning,and functional subsystems coupling.Functional subsystem and efficient coupling methods are proposed based on named entity recognition(NER),tool invocation,and Text-to-SQL construction,all aimed at resolving pivotal challenges in developing the specific application of LLMs for RDA.This study conducted a detailed accuracy test on feature extraction models,tool classification models,data retrieval models and analysis recommendation models.The results indicate that these models have demonstrated good performance in various key aspects of reservoir dynamic analysis.The research takes some injection and production well groups in the PK3 Block of the Daqing Oilfield as an example for testing.Testing results show that our model has significant potential and practical value in assisting reservoir engineers with RDA.The research results provide a powerful support to the application of LLM in reservoir performance analysis.
