Machine translation of low-resource languages(LRLs)has long been hindered by limited corpora and linguistic complexity.This review summarizes key developments,from traditional methods to recent progress with large lan...Machine translation of low-resource languages(LRLs)has long been hindered by limited corpora and linguistic complexity.This review summarizes key developments,from traditional methods to recent progress with large language models(LLMs),while highlighting ongoing challenges such as data bottlenecks,biases,fairness,and computational costs.Finally,it discusses future directions,including efficient parameter fine-tuning,multimodal translation,and community-driven corpus construction,providing insights for advancing LRL translation research.展开更多
The work in this paper is based on primary research on how to obtain informed consent to medical treatment and or procedure among patients;this study was carried out in Papua New Guinea in both urban and rural health ...The work in this paper is based on primary research on how to obtain informed consent to medical treatment and or procedure among patients;this study was carried out in Papua New Guinea in both urban and rural health settings across customs,cultures,and languages in two provinces,on the basis of qualitative interviews with healthcare professionals including doctors,nurses,other healthcare workers,patients,and traditional healers.We emphasize the views of consent with participants of customs,cultural,and languages regarding informed consent.There are factors between peoples of differing circumstances which can greatly alter how they view consent.Some groups would involve people in the decision-making process that may not traditionally be involved in the decision making of a medical decision.Other groups may dislike certain medical procedures as in Papua New Guinea(PNG).And certain people have different views on what should be disclosed of the patient’s condition.Customs,cultures,and languages are common phenomena which continue to affect the daily lives of many thousands of people.It is unclear in PNG about the characteristics of customs,culture,and language on health care because there is no published information on informed consent and issues that affect the making of informed consent.展开更多
This paper proposes an interdisciplinary talent training model that combines foreign language education with area studies.The model aims to cultivate international ocean affairs professionals with cross-cultural commu...This paper proposes an interdisciplinary talent training model that combines foreign language education with area studies.The model aims to cultivate international ocean affairs professionals with cross-cultural communication skills,in-depth regional and country knowledge,and practical expertise in ocean affairs.Additionally,the paper presents specific training pathways and policy recommendations for implementing this model.展开更多
Model evaluation using benchmark datasets is an important method to measure the capability of large language models(LLMs)in specific domains,and it is mainly used to assess the knowledge and reasoning abilities of LLM...Model evaluation using benchmark datasets is an important method to measure the capability of large language models(LLMs)in specific domains,and it is mainly used to assess the knowledge and reasoning abilities of LLMs.Therefore,in order to better assess the capability of LLMs in the agricultural domain,Agri-Eval was proposed as a benchmark for assessing the knowledge and reasoning ability of LLMs in agriculture.The assessment dataset used in Agri-Eval covered seven major disciplines in the agricultural domain:crop science,horticulture,plant protection,animal husbandry,forest science,aquaculture science,and grass science,and contained a total of 2283 questions.Among domestic general-purpose LLMs,DeepSeek R1 performed best with an accuracy rate of 75.49%.In the realm of international general-purpose LLMs,Gemini 2.0 pro exp 0205 standed out as the top performer,achieving an accuracy rate of 74.28%.As an LLMs in agriculture vertical,Shennong V2.0 outperformed all the LLMs in China,and the answer accuracy rate of agricultural knowledge exceeded that of all the existing general-purpose LLMs.The launch of Agri-Eval helped the LLM developers to comprehensively evaluate the model's capability in the field of agriculture through a variety of tasks and tests to promote the development of the LLMs in the field of agriculture.展开更多
Covert timing channels(CTC)exploit network resources to establish hidden communication pathways,posing signi cant risks to data security and policy compliance.erefore,detecting such hidden and dangerous threats remain...Covert timing channels(CTC)exploit network resources to establish hidden communication pathways,posing signi cant risks to data security and policy compliance.erefore,detecting such hidden and dangerous threats remains one of the security challenges. is paper proposes LinguTimeX,a new framework that combines natural language processing with arti cial intelligence,along with explainable Arti cial Intelligence(AI)not only to detect CTC but also to provide insights into the decision process.LinguTimeX performs multidimensional feature extraction by fusing linguistic attributes with temporal network patterns to identify covert channels precisely.LinguTimeX demonstrates strong e ectiveness in detecting CTC across multiple languages;namely English,Arabic,and Chinese.Speci cally,the LSTM and RNN models achieved F1 scores of 90%on the English dataset,89%on the Arabic dataset,and 88%on the Chinese dataset,showcasing their superior performance and ability to generalize across multiple languages. is highlights their robustness in detecting CTCs within security systems,regardless of the language or cultural context of the data.In contrast,the DeepForest model produced F1-scores ranging from 86%to 87%across the same datasets,further con rming its e ectiveness in CTC detection.Although other algorithms also showed reasonable accuracy,the LSTM and RNN models consistently outperformed them in multilingual settings,suggesting that deep learning models might be better suited for this particular problem.展开更多
This study demonstrates a novel integration of large language models,machine learning,and multicriteria decision-making to investigate self-moderation in small online communities,a topic under-explored compared to use...This study demonstrates a novel integration of large language models,machine learning,and multicriteria decision-making to investigate self-moderation in small online communities,a topic under-explored compared to user behavior and platform-driven moderation on social media.The proposed methodological framework(1)utilizes large language models for social media post analysis and categorization,(2)employs k-means clustering for content characterization,and(3)incorporates the TODIM(Tomada de Decisão Interativa Multicritério)method to determine moderation strategies based on expert judgments.In general,the fully integrated framework leverages the strengths of these intelligent systems in a more systematic evaluation of large-scale decision problems.When applied in social media moderation,this approach promotes nuanced and context-sensitive self-moderation by taking into account factors such as cultural background and geographic location.The application of this framework is demonstrated within Facebook groups.Eight distinct content clusters encompassing safety,harassment,diversity,and misinformation are identified.Analysis revealed a preference for content removal across all clusters,suggesting a cautious approach towards potentially harmful content.However,the framework also highlights the use of other moderation actions,like account suspension,depending on the content category.These findings contribute to the growing body of research on self-moderation and offer valuable insights for creating safer and more inclusive online spaces within smaller communities.展开更多
An adaptive human tracking method across spatially separated surveillance cameras with non-overlapping fields of views （FOVs） is proposed. The method relies on the two cues of the human appearance model and spatio-t...An adaptive human tracking method across spatially separated surveillance cameras with non-overlapping fields of views （FOVs） is proposed. The method relies on the two cues of the human appearance model and spatio-temporal information between cameras. For the human appearance model, an HSV color histogram is extracted from different human body parts （head, torso, and legs）, then a weighted algorithm is used to compute the similarity distance of two people. Finally, a similarity sorting algorithm with two thresholds is exploited to find the correspondence. The spatio- temporal information is established in the learning phase and is updated incrementally according to the latest correspondence. The experimental results prove that the proposed human tracking method is effective without requiring camera calibration and it becomes more accurate over time as new observations are accumulated.展开更多
An adaptive topology learning approach is proposed to learn the topology of a practical camera network in an unsupervised way. The nodes are modeled by the Gaussian mixture model. The connectivity between nodes is jud...An adaptive topology learning approach is proposed to learn the topology of a practical camera network in an unsupervised way. The nodes are modeled by the Gaussian mixture model. The connectivity between nodes is judged by their cross-correlation function, which is also used to calculate their transition time distribution. The mutual information of the connected node pair is employed for transition probability calculation. A false link eliminating approach is proposed, along with a topology updating strategy to improve the learned topology. A real monitoring system with five disjoint cameras is built for experiments. Comparative results with traditional methods show that the proposed method is more accurate in topology learning and is more robust to environmental changes.展开更多
Since the specifications of most of the existing context-sensitive graph grammars tend to be either too intricate or not intuitive, a novel context-sensitive graph grammar formalism, called context-attributed graph gr...Since the specifications of most of the existing context-sensitive graph grammars tend to be either too intricate or not intuitive, a novel context-sensitive graph grammar formalism, called context-attributed graph grammar（CAGG）, is proposed. In order to resolve the embedding problem, context information of a graph production in the CAGG is represented in the form of context attributes of the nodes involved. Moreover, several properties of a set of confluent CAGG productions are characterized, and then an algorithm based on them is developed to decide whether or not a set of productions is confluent, which provides the foundation for the design of efficient parsing algorithms. It can also be shown through the comparison of CAGG with several typical context-sensitive graph grammars that CAGG is more succinct and, at the same time, more intuitive than the others, making it more suitably and effortlessly applicable to the specification of visual languages.展开更多
This article aims to analyze the difference of word order between English and Chinese languages after making a constructive study of them and concludes that it is the reflection of different thinking characteristics o...This article aims to analyze the difference of word order between English and Chinese languages after making a constructive study of them and concludes that it is the reflection of different thinking characteristics of the two nationalities. The difference of history development, cultural tradition, social economy and geographic environment naturally produces the thinking mode with the national features. The different features certainly influence the language expression. It is because language is not only the main carrier of thinking but also the important expression form. So to well study the features of thinking mode is of great importance to translation, foreign language teaching and cross-cultural communication.展开更多
The cultural differences between the east and the west are reflected in their own languages. Vocabulary is the basic building material of a language. It is the basic linguistic unit of cultural connotation and message...The cultural differences between the east and the west are reflected in their own languages. Vocabulary is the basic building material of a language. It is the basic linguistic unit of cultural connotation and message. Through the analysis of the word ＂rose＂, this paper attempts to find the different connotations in Chinese and western cultures. It also tentatively explores the significance of introducing cultural background in foreign language teaching.展开更多
As one of the important phases of language acquisition process, vocabulary acquisition has great impact on one＇s language competence and communication competence. However, there are still some problems in students＇ ...As one of the important phases of language acquisition process, vocabulary acquisition has great impact on one＇s language competence and communication competence. However, there are still some problems in students＇ vocabulary acquisition. This paper first discusses the current problems in vocabulary teaching, and then analyzes some laws in vocabulary acquisition, and at last it discusses the advantages of making use of Internet in vocabulary teaching, which aims to find a possible solution to the problems.展开更多
一、引言现代许多语言学家仍然关注着语言的产生与演进,甚至将语言的演化与达尔文生物进化论类比,以求从中得到语言进化的启示。语言进化国际研讨会（International Conferenceon the Evolution of Language,EVOLANG）便是一个从人类语...一、引言现代许多语言学家仍然关注着语言的产生与演进,甚至将语言的演化与达尔文生物进化论类比,以求从中得到语言进化的启示。语言进化国际研讨会（International Conferenceon the Evolution of Language,EVOLANG）便是一个从人类语言进化相关学科的研究成果出发,以探究人类语言起源及其如何进化而来为宗旨的学术性研讨会。足可见语言学家们无时无刻不在探索语言的奥秘及语言产生的缘起。展开更多
New approaches for facility distribution in chemical plants are proposed including an improved non-overlapping constraint based on projection relationships of facilities and a novel toxic gas dispersion constraint. In...New approaches for facility distribution in chemical plants are proposed including an improved non-overlapping constraint based on projection relationships of facilities and a novel toxic gas dispersion constraint. In consideration of the large number of variables in the plant layout model, our new method can significantly reduce the number of variables with their own projection relationships. Also, as toxic gas dispersion is a usual incident in a chemical plant, a simple approach to describe the gas leakage is proposed, which can clearly represent the constraints of potential emission source and sitting facilities. For solving the plant layout model, an improved genetic algorithm (GA) based on infeasible solution fix technique is proposed, which improves the globe search ability of GA. The case study and experiment show that a better layout plan can be obtained with our method, and the safety factors such as gas dispersion and minimum distances can be well handled in the solution.展开更多
Mechanical behaviors of granular materials are complicated and greatly influenced by the particle shape.Current,some composite approaches have been proposed for realistic particle shape modelling within discrete eleme...Mechanical behaviors of granular materials are complicated and greatly influenced by the particle shape.Current,some composite approaches have been proposed for realistic particle shape modelling within discrete element method(DEM),while they cannot give a good representation to the shape and mass properties of a real particle.In this work,a novel algorithm is developed to model an arbitrary particle using a cluster of non-overlapping disks.The algorithm mainly consists of two components:boundary filling and domain filling.In the boundary filling,some disks are placed along the boundary for a precise representation of the particle shape,and some more disks are placed in the domain to give an approximation to the mass properties of the particle in the domain filling.Besides,a simple method is proposed to correct the mass properties of a cluster after domain filling and reduce the number of the disks in a cluster for lower computational load.Moreover,it is another great merit of the algorithm that a cluster generated by the algorithm can be used to simulate the particle breakage because of no overlaps between the disks in a cluster.Finally,several examples are used to show the robust performance of the algorithm.A current FORTRAN version of the algorithm is available by contacting the author.展开更多
Symbolic dynamics of cellular automata is introduced by coarse-graining the temporal evolution orbits. Evolution languages are defined. By using the theory of formal languages and automata, the complexity of evolution...Symbolic dynamics of cellular automata is introduced by coarse-graining the temporal evolution orbits. Evolution languages are defined. By using the theory of formal languages and automata, the complexity of evolution languages of the elementary cellular automaton of rule 146 is studied and it is proved that its width 1-evolution language is regular, but for every n ≥ 2 its width n-evolution language is not context-free but context-sensitive. Also, the same results hold for the equivalent （under conjugation） elementary cellular automaton of rule 182.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
A well-recognized fact is that addressing the impacts of climate change on vulnerable communities and minority groups remains a central focus toward achieving the Sustainable Development Goals,specifically Goals 11 an...A well-recognized fact is that addressing the impacts of climate change on vulnerable communities and minority groups remains a central focus toward achieving the Sustainable Development Goals,specifically Goals 11 and 13.Approaches for effective adaptation to climate change through national and local efforts fundamentally aim to create environmentally sustainable,socially inclusive,and economically vibrant communities.This paper associates the impacts of climate change to the preservation of threatened minority languages in semi-arid areas in Northern Ghana.This review relies on primary and secondary sources on climate-induced migration,minority languages,and threats of language loss through a keyword search followed by rigorous content analysis.The study confirms that forced displacement due to harsh climatic and other environmental conditions is currently occurring in the upper regions(Upper East and Upper West Regions)of Ghana with minority linguistic groups being forced to migrate to the southern part of the country,where their culture and language are threatened due to large linguistic groups.The literature well establishes the north-south mobility with various debates on its root causes.However,the phenomenon is understudied along with the lack of specific national strategies for addressing it and the associated language loss.Therefore,the need emerges for further studies to enhance the current understanding of the phenomenon to inform policy interventions and protect minority languages threatened by climate-induced migration.The focus on an understudied subject and geographic scope makes the findings extremely relevant for the expansion of knowledge on internal migration in the context of climate change in Northern Ghana.展开更多
作为对比语言学领域最为权威的国际期刊之一,《语言对比》(Languages in Contrast)已走过20年的历程。本研究从其近10年(2009-2018)所发表的10卷中收集信息,构建小型研究语料库,并使用语料库工具提取相关信息。定量分析结果显示了对比...作为对比语言学领域最为权威的国际期刊之一,《语言对比》(Languages in Contrast)已走过20年的历程。本研究从其近10年(2009-2018)所发表的10卷中收集信息,构建小型研究语料库,并使用语料库工具提取相关信息。定量分析结果显示了对比语言学的研究对象、目标、重点、方法和变化。同时,通过对近10年来具有代表性成果的分析,展望今后对比语言学可能的发展方向。研究表明,《语言对比》所发论文与学科发展和特点密切相关,体现了对比语言学的最新变化,对对比语言学研究的发展贡献巨大。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
基金supported by China Undergraduate Innovation Training Program[Grant No.202410699184]Humanities and Social Sciences Research Project funded by the Ministry of Education of China[Grant No.23YJAZH139].
文摘Machine translation of low-resource languages(LRLs)has long been hindered by limited corpora and linguistic complexity.This review summarizes key developments,from traditional methods to recent progress with large language models(LLMs),while highlighting ongoing challenges such as data bottlenecks,biases,fairness,and computational costs.Finally,it discusses future directions,including efficient parameter fine-tuning,multimodal translation,and community-driven corpus construction,providing insights for advancing LRL translation research.
文摘The work in this paper is based on primary research on how to obtain informed consent to medical treatment and or procedure among patients;this study was carried out in Papua New Guinea in both urban and rural health settings across customs,cultures,and languages in two provinces,on the basis of qualitative interviews with healthcare professionals including doctors,nurses,other healthcare workers,patients,and traditional healers.We emphasize the views of consent with participants of customs,cultural,and languages regarding informed consent.There are factors between peoples of differing circumstances which can greatly alter how they view consent.Some groups would involve people in the decision-making process that may not traditionally be involved in the decision making of a medical decision.Other groups may dislike certain medical procedures as in Papua New Guinea(PNG).And certain people have different views on what should be disclosed of the patient’s condition.Customs,cultures,and languages are common phenomena which continue to affect the daily lives of many thousands of people.It is unclear in PNG about the characteristics of customs,culture,and language on health care because there is no published information on informed consent and issues that affect the making of informed consent.
基金supported by“Dalian Maritime University Teaching Reform Research Fund 2022 Annual Project”(Fund No.XJG2022-96).
文摘This paper proposes an interdisciplinary talent training model that combines foreign language education with area studies.The model aims to cultivate international ocean affairs professionals with cross-cultural communication skills,in-depth regional and country knowledge,and practical expertise in ocean affairs.Additionally,the paper presents specific training pathways and policy recommendations for implementing this model.
文摘Model evaluation using benchmark datasets is an important method to measure the capability of large language models(LLMs)in specific domains,and it is mainly used to assess the knowledge and reasoning abilities of LLMs.Therefore,in order to better assess the capability of LLMs in the agricultural domain,Agri-Eval was proposed as a benchmark for assessing the knowledge and reasoning ability of LLMs in agriculture.The assessment dataset used in Agri-Eval covered seven major disciplines in the agricultural domain:crop science,horticulture,plant protection,animal husbandry,forest science,aquaculture science,and grass science,and contained a total of 2283 questions.Among domestic general-purpose LLMs,DeepSeek R1 performed best with an accuracy rate of 75.49%.In the realm of international general-purpose LLMs,Gemini 2.0 pro exp 0205 standed out as the top performer,achieving an accuracy rate of 74.28%.As an LLMs in agriculture vertical,Shennong V2.0 outperformed all the LLMs in China,and the answer accuracy rate of agricultural knowledge exceeded that of all the existing general-purpose LLMs.The launch of Agri-Eval helped the LLM developers to comprehensively evaluate the model's capability in the field of agriculture through a variety of tasks and tests to promote the development of the LLMs in the field of agriculture.
基金This study is financed by the European Union-NextGenerationEU,through the National Recovery and Resilience Plan of the Republic of Bulgaria,Project No.BG-RRP-2.013-0001.
文摘Covert timing channels(CTC)exploit network resources to establish hidden communication pathways,posing signi cant risks to data security and policy compliance.erefore,detecting such hidden and dangerous threats remains one of the security challenges. is paper proposes LinguTimeX,a new framework that combines natural language processing with arti cial intelligence,along with explainable Arti cial Intelligence(AI)not only to detect CTC but also to provide insights into the decision process.LinguTimeX performs multidimensional feature extraction by fusing linguistic attributes with temporal network patterns to identify covert channels precisely.LinguTimeX demonstrates strong e ectiveness in detecting CTC across multiple languages;namely English,Arabic,and Chinese.Speci cally,the LSTM and RNN models achieved F1 scores of 90%on the English dataset,89%on the Arabic dataset,and 88%on the Chinese dataset,showcasing their superior performance and ability to generalize across multiple languages. is highlights their robustness in detecting CTCs within security systems,regardless of the language or cultural context of the data.In contrast,the DeepForest model produced F1-scores ranging from 86%to 87%across the same datasets,further con rming its e ectiveness in CTC detection.Although other algorithms also showed reasonable accuracy,the LSTM and RNN models consistently outperformed them in multilingual settings,suggesting that deep learning models might be better suited for this particular problem.
基金funded by the Office of the Vice-President for Research and Development of Cebu Technological University.
文摘This study demonstrates a novel integration of large language models,machine learning,and multicriteria decision-making to investigate self-moderation in small online communities,a topic under-explored compared to user behavior and platform-driven moderation on social media.The proposed methodological framework(1)utilizes large language models for social media post analysis and categorization,(2)employs k-means clustering for content characterization,and(3)incorporates the TODIM(Tomada de Decisão Interativa Multicritério)method to determine moderation strategies based on expert judgments.In general,the fully integrated framework leverages the strengths of these intelligent systems in a more systematic evaluation of large-scale decision problems.When applied in social media moderation,this approach promotes nuanced and context-sensitive self-moderation by taking into account factors such as cultural background and geographic location.The application of this framework is demonstrated within Facebook groups.Eight distinct content clusters encompassing safety,harassment,diversity,and misinformation are identified.Analysis revealed a preference for content removal across all clusters,suggesting a cautious approach towards potentially harmful content.However,the framework also highlights the use of other moderation actions,like account suspension,depending on the content category.These findings contribute to the growing body of research on self-moderation and offer valuable insights for creating safer and more inclusive online spaces within smaller communities.
基金The National Natural Science Foundation of China(No. 60972001 )the Science and Technology Plan of Suzhou City(No. SG201076)
文摘An adaptive human tracking method across spatially separated surveillance cameras with non-overlapping fields of views （FOVs） is proposed. The method relies on the two cues of the human appearance model and spatio-temporal information between cameras. For the human appearance model, an HSV color histogram is extracted from different human body parts （head, torso, and legs）, then a weighted algorithm is used to compute the similarity distance of two people. Finally, a similarity sorting algorithm with two thresholds is exploited to find the correspondence. The spatio- temporal information is established in the learning phase and is updated incrementally according to the latest correspondence. The experimental results prove that the proposed human tracking method is effective without requiring camera calibration and it becomes more accurate over time as new observations are accumulated.
基金The National Natural Science Foundation of China(No.60972001)the Science and Technology Plan of Suzhou City(No.SS201223)
文摘An adaptive topology learning approach is proposed to learn the topology of a practical camera network in an unsupervised way. The nodes are modeled by the Gaussian mixture model. The connectivity between nodes is judged by their cross-correlation function, which is also used to calculate their transition time distribution. The mutual information of the connected node pair is employed for transition probability calculation. A false link eliminating approach is proposed, along with a topology updating strategy to improve the learned topology. A real monitoring system with five disjoint cameras is built for experiments. Comparative results with traditional methods show that the proposed method is more accurate in topology learning and is more robust to environmental changes.
基金The National Natural Science Foundation of China(No.60571048,60673186,60736015)the National High Technology Researchand Development Program of China(863Program)(No.2007AA01Z178)
文摘Since the specifications of most of the existing context-sensitive graph grammars tend to be either too intricate or not intuitive, a novel context-sensitive graph grammar formalism, called context-attributed graph grammar（CAGG）, is proposed. In order to resolve the embedding problem, context information of a graph production in the CAGG is represented in the form of context attributes of the nodes involved. Moreover, several properties of a set of confluent CAGG productions are characterized, and then an algorithm based on them is developed to decide whether or not a set of productions is confluent, which provides the foundation for the design of efficient parsing algorithms. It can also be shown through the comparison of CAGG with several typical context-sensitive graph grammars that CAGG is more succinct and, at the same time, more intuitive than the others, making it more suitably and effortlessly applicable to the specification of visual languages.
文摘This article aims to analyze the difference of word order between English and Chinese languages after making a constructive study of them and concludes that it is the reflection of different thinking characteristics of the two nationalities. The difference of history development, cultural tradition, social economy and geographic environment naturally produces the thinking mode with the national features. The different features certainly influence the language expression. It is because language is not only the main carrier of thinking but also the important expression form. So to well study the features of thinking mode is of great importance to translation, foreign language teaching and cross-cultural communication.
文摘The cultural differences between the east and the west are reflected in their own languages. Vocabulary is the basic building material of a language. It is the basic linguistic unit of cultural connotation and message. Through the analysis of the word ＂rose＂, this paper attempts to find the different connotations in Chinese and western cultures. It also tentatively explores the significance of introducing cultural background in foreign language teaching.
文摘As one of the important phases of language acquisition process, vocabulary acquisition has great impact on one＇s language competence and communication competence. However, there are still some problems in students＇ vocabulary acquisition. This paper first discusses the current problems in vocabulary teaching, and then analyzes some laws in vocabulary acquisition, and at last it discusses the advantages of making use of Internet in vocabulary teaching, which aims to find a possible solution to the problems.
文摘一、引言现代许多语言学家仍然关注着语言的产生与演进,甚至将语言的演化与达尔文生物进化论类比,以求从中得到语言进化的启示。语言进化国际研讨会（International Conferenceon the Evolution of Language,EVOLANG）便是一个从人类语言进化相关学科的研究成果出发,以探究人类语言起源及其如何进化而来为宗旨的学术性研讨会。足可见语言学家们无时无刻不在探索语言的奥秘及语言产生的缘起。
基金Supported by the National Natural Science Foundation of China （61074153, 61104131）, and the Fundamental Research Funds for Central Universities of China （ZY1111, JD1104）.
文摘New approaches for facility distribution in chemical plants are proposed including an improved non-overlapping constraint based on projection relationships of facilities and a novel toxic gas dispersion constraint. In consideration of the large number of variables in the plant layout model, our new method can significantly reduce the number of variables with their own projection relationships. Also, as toxic gas dispersion is a usual incident in a chemical plant, a simple approach to describe the gas leakage is proposed, which can clearly represent the constraints of potential emission source and sitting facilities. For solving the plant layout model, an improved genetic algorithm (GA) based on infeasible solution fix technique is proposed, which improves the globe search ability of GA. The case study and experiment show that a better layout plan can be obtained with our method, and the safety factors such as gas dispersion and minimum distances can be well handled in the solution.
基金Project(2011CB013504)supported by the National Basic Research Program(973 Program)of ChinaProject(2013BAB06B01)supported by Key Projects in the National Science&Technology Pillar Program during the Twelfth Five-year Plan Period,China+1 种基金Projects(51309089,51479049)supported by National Natural Science Foundation of ChinaProject(487237)supported by Natural Sciences and Engineering Research Council of Canada
文摘Mechanical behaviors of granular materials are complicated and greatly influenced by the particle shape.Current,some composite approaches have been proposed for realistic particle shape modelling within discrete element method(DEM),while they cannot give a good representation to the shape and mass properties of a real particle.In this work,a novel algorithm is developed to model an arbitrary particle using a cluster of non-overlapping disks.The algorithm mainly consists of two components:boundary filling and domain filling.In the boundary filling,some disks are placed along the boundary for a precise representation of the particle shape,and some more disks are placed in the domain to give an approximation to the mass properties of the particle in the domain filling.Besides,a simple method is proposed to correct the mass properties of a cluster after domain filling and reduce the number of the disks in a cluster for lower computational load.Moreover,it is another great merit of the algorithm that a cluster generated by the algorithm can be used to simulate the particle breakage because of no overlaps between the disks in a cluster.Finally,several examples are used to show the robust performance of the algorithm.A current FORTRAN version of the algorithm is available by contacting the author.
文摘Symbolic dynamics of cellular automata is introduced by coarse-graining the temporal evolution orbits. Evolution languages are defined. By using the theory of formal languages and automata, the complexity of evolution languages of the elementary cellular automaton of rule 146 is studied and it is proved that its width 1-evolution language is regular, but for every n ≥ 2 its width n-evolution language is not context-free but context-sensitive. Also, the same results hold for the equivalent （under conjugation） elementary cellular automaton of rule 182.
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A well-recognized fact is that addressing the impacts of climate change on vulnerable communities and minority groups remains a central focus toward achieving the Sustainable Development Goals,specifically Goals 11 and 13.Approaches for effective adaptation to climate change through national and local efforts fundamentally aim to create environmentally sustainable,socially inclusive,and economically vibrant communities.This paper associates the impacts of climate change to the preservation of threatened minority languages in semi-arid areas in Northern Ghana.This review relies on primary and secondary sources on climate-induced migration,minority languages,and threats of language loss through a keyword search followed by rigorous content analysis.The study confirms that forced displacement due to harsh climatic and other environmental conditions is currently occurring in the upper regions(Upper East and Upper West Regions)of Ghana with minority linguistic groups being forced to migrate to the southern part of the country,where their culture and language are threatened due to large linguistic groups.The literature well establishes the north-south mobility with various debates on its root causes.However,the phenomenon is understudied along with the lack of specific national strategies for addressing it and the associated language loss.Therefore,the need emerges for further studies to enhance the current understanding of the phenomenon to inform policy interventions and protect minority languages threatened by climate-induced migration.The focus on an understudied subject and geographic scope makes the findings extremely relevant for the expansion of knowledge on internal migration in the context of climate change in Northern Ghana.
文摘作为对比语言学领域最为权威的国际期刊之一,《语言对比》(Languages in Contrast)已走过20年的历程。本研究从其近10年(2009-2018)所发表的10卷中收集信息,构建小型研究语料库,并使用语料库工具提取相关信息。定量分析结果显示了对比语言学的研究对象、目标、重点、方法和变化。同时,通过对近10年来具有代表性成果的分析,展望今后对比语言学可能的发展方向。研究表明,《语言对比》所发论文与学科发展和特点密切相关,体现了对比语言学的最新变化,对对比语言学研究的发展贡献巨大。
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.
