Linking words,also called transition words,are quite useful in English expressions.Linking words are not the same as conjunctions,although some conjunctions can function as linking words.Here's a clear explanation...Linking words,also called transition words,are quite useful in English expressions.Linking words are not the same as conjunctions,although some conjunctions can function as linking words.Here's a clear explanation for English learners,followed by a wellorganized passage on the functions of linking words in writing and communication.展开更多
The development of China has tremendously enhanced the intercultural communication among various nations and ethnic groups. As a result, more and more words are borrowed from English into Chinese to express those west...The development of China has tremendously enhanced the intercultural communication among various nations and ethnic groups. As a result, more and more words are borrowed from English into Chinese to express those western-oriented objects,concepts, values, etc. This paper focuses on English loan words and their impact on Chinese. First, their classification will be presented; then, this paper will elaborate on the main characteristics of them; at last, their lexical as well as cultural impact on Chinese are revealed. Overall, it aims at proving that English loan words help promote the development and innovation of the Chinese language and enhance the performance of different language learners thus facilitating international exchange and crosscultural communication.展开更多
Term is a kind of limited language symbols,usually presented in a specific language or text and used to communicate and express ideas.With the globalization of economy,international trade has become more frequent,and ...Term is a kind of limited language symbols,usually presented in a specific language or text and used to communicate and express ideas.With the globalization of economy,international trade has become more frequent,and chemical products have gradually become the hotspot of international import and export transactions,so the Chinese translation of the names of chemical products has become more important,and accurate translation can better promote the development of the domestic chemical industry and its dialogue and exchange with the international chemical industry.In this paper,we first explore the Chinese translation strategies of the semi-technical words in chemistry,and then investigate the translation strategies for technical words,subdividing the technical words into compounds,derivatives,and acronyms,with a view to providing ideas and references for translations of relevant texts.展开更多
词性是自然语言处理的基本要素,词语顺序包含了所传达的语义与语法信息,它们都是自然语言中的关键信息.在word embedding模型中如何有效地将两者结合起来,是目前研究的重点.本文提出的Structured word2vec on POS联合了词语顺序与词性...词性是自然语言处理的基本要素,词语顺序包含了所传达的语义与语法信息,它们都是自然语言中的关键信息.在word embedding模型中如何有效地将两者结合起来,是目前研究的重点.本文提出的Structured word2vec on POS联合了词语顺序与词性两种信息,不仅使模型可以感知词语位置顺序,而且利用词性关联信息来建立上下文窗口内词语之间的固有句法关系.Structured word2vec on POS将词语按其位置顺序定向嵌入,对词向量和词性相关加权矩阵进行联合优化.实验通过词语类比、词相似性任务,证明了所提出的方法的有效性.展开更多
Automatically answer math word problems is a challenging task in artificial intelligence.Previous solvers constructed mathematical expressions in sequence or binary tree.However,these approaches may suffer from the fo...Automatically answer math word problems is a challenging task in artificial intelligence.Previous solvers constructed mathematical expressions in sequence or binary tree.However,these approaches may suffer from the following issues:Models relying on such structures exhibit fixed-order reasoning(e.g.,left-to-right),limiting flexibility and increasing error susceptibility;prior models rely on autoregressive reasoning in a single pass,accumulating minor errors(e.g.,incorrect math symbols)during generation,resulting in reduced accuracy.To address the above issues,we emulate the human“check and modify”process in reasoning and propose a unified M-tree self-correction solver(UTSCSolver)by iterative inference with self-correction mechanism.First,we use an iterative,non-autoregressive process for generating mathematical expressions,free from fixed generation orders to handle complex and diverse problems.Additionally,we design a self-correction mechanism based on alternating execution between a generator and a discriminator.This module iteratively detects and rectifies errors in generated expressions,leveraging previous iteration information for subsequent generation guidance.Experimental results show that our UTSC-Solver outperforms traditional models in accuracy on two popular datasets,while it improves the interpretability of mathematical reasoning.展开更多
Words are like magic.They can lift you up,or they can knock you down.They are the most powerful tool we have.When I was in Grade 7,I performed badly in a math test.
1.The price of a desk is 10 times the price of a chair.The desk costs 288 yuan more than the chair.How much does one desk and one chair cost?2.A and B start from two different places and walk toward each other.After 4...1.The price of a desk is 10 times the price of a chair.The desk costs 288 yuan more than the chair.How much does one desk and one chair cost?2.A and B start from two different places and walk toward each other.After 4 hours,they meet at a point that is 4 kilometres away from the midpoint between their starting points.A walks faster than B.How many more kilometres per hour does A walk than B?展开更多
The current study investigated how language context and word frequency influenced vowel perception of Chinese-Japanese cognates among Chinese learners of Japanese.Focusing on orthographic cognates,participants perform...The current study investigated how language context and word frequency influenced vowel perception of Chinese-Japanese cognates among Chinese learners of Japanese.Focusing on orthographic cognates,participants performed a vowel detection task on cognates,manipulating language context and target language(Chinese vs.Japanese),as well as word frequency(high vs.low).We measured reaction times,perceptual sensitivity,and response criterion.For high-frequency words,consistent language contexts facilitated faster vowel detection in both languages.However,in low-frequency conditions,participants showed higher perceptual sensitivity to Chinese targets and more conservative response criteria for Japanese targets,regardless of context.These findings revealed the complex interplay between word frequency,language dominance,and context in cross-language processing.Our study contributed to the understanding of vowel perception in languages with shared orthography but distinct phonological systems,offering insights for models of cross-language cognition and second language education.Furthermore,it highlighted the importance of considering both word frequency and language-specific features in cross-language studies.展开更多
文摘Linking words,also called transition words,are quite useful in English expressions.Linking words are not the same as conjunctions,although some conjunctions can function as linking words.Here's a clear explanation for English learners,followed by a wellorganized passage on the functions of linking words in writing and communication.
文摘The development of China has tremendously enhanced the intercultural communication among various nations and ethnic groups. As a result, more and more words are borrowed from English into Chinese to express those western-oriented objects,concepts, values, etc. This paper focuses on English loan words and their impact on Chinese. First, their classification will be presented; then, this paper will elaborate on the main characteristics of them; at last, their lexical as well as cultural impact on Chinese are revealed. Overall, it aims at proving that English loan words help promote the development and innovation of the Chinese language and enhance the performance of different language learners thus facilitating international exchange and crosscultural communication.
基金USST Construction Project of English-Taught Courses for International Students in 2024USST Teaching Achievement Award(Postgraduate)Cultivation Project in 2024.
文摘Term is a kind of limited language symbols,usually presented in a specific language or text and used to communicate and express ideas.With the globalization of economy,international trade has become more frequent,and chemical products have gradually become the hotspot of international import and export transactions,so the Chinese translation of the names of chemical products has become more important,and accurate translation can better promote the development of the domestic chemical industry and its dialogue and exchange with the international chemical industry.In this paper,we first explore the Chinese translation strategies of the semi-technical words in chemistry,and then investigate the translation strategies for technical words,subdividing the technical words into compounds,derivatives,and acronyms,with a view to providing ideas and references for translations of relevant texts.
文摘词性是自然语言处理的基本要素,词语顺序包含了所传达的语义与语法信息,它们都是自然语言中的关键信息.在word embedding模型中如何有效地将两者结合起来,是目前研究的重点.本文提出的Structured word2vec on POS联合了词语顺序与词性两种信息,不仅使模型可以感知词语位置顺序,而且利用词性关联信息来建立上下文窗口内词语之间的固有句法关系.Structured word2vec on POS将词语按其位置顺序定向嵌入,对词向量和词性相关加权矩阵进行联合优化.实验通过词语类比、词相似性任务,证明了所提出的方法的有效性.
基金supported by the National Natural Science Foundation of China(62106244)the Fundamental Research Funds for the Central Universities(WK2150110021)the University Synergy Innovation Program of Anhui Province(GXXT-2022-042).
文摘Automatically answer math word problems is a challenging task in artificial intelligence.Previous solvers constructed mathematical expressions in sequence or binary tree.However,these approaches may suffer from the following issues:Models relying on such structures exhibit fixed-order reasoning(e.g.,left-to-right),limiting flexibility and increasing error susceptibility;prior models rely on autoregressive reasoning in a single pass,accumulating minor errors(e.g.,incorrect math symbols)during generation,resulting in reduced accuracy.To address the above issues,we emulate the human“check and modify”process in reasoning and propose a unified M-tree self-correction solver(UTSCSolver)by iterative inference with self-correction mechanism.First,we use an iterative,non-autoregressive process for generating mathematical expressions,free from fixed generation orders to handle complex and diverse problems.Additionally,we design a self-correction mechanism based on alternating execution between a generator and a discriminator.This module iteratively detects and rectifies errors in generated expressions,leveraging previous iteration information for subsequent generation guidance.Experimental results show that our UTSC-Solver outperforms traditional models in accuracy on two popular datasets,while it improves the interpretability of mathematical reasoning.
文摘Words are like magic.They can lift you up,or they can knock you down.They are the most powerful tool we have.When I was in Grade 7,I performed badly in a math test.
文摘1.The price of a desk is 10 times the price of a chair.The desk costs 288 yuan more than the chair.How much does one desk and one chair cost?2.A and B start from two different places and walk toward each other.After 4 hours,they meet at a point that is 4 kilometres away from the midpoint between their starting points.A walks faster than B.How many more kilometres per hour does A walk than B?
文摘The current study investigated how language context and word frequency influenced vowel perception of Chinese-Japanese cognates among Chinese learners of Japanese.Focusing on orthographic cognates,participants performed a vowel detection task on cognates,manipulating language context and target language(Chinese vs.Japanese),as well as word frequency(high vs.low).We measured reaction times,perceptual sensitivity,and response criterion.For high-frequency words,consistent language contexts facilitated faster vowel detection in both languages.However,in low-frequency conditions,participants showed higher perceptual sensitivity to Chinese targets and more conservative response criteria for Japanese targets,regardless of context.These findings revealed the complex interplay between word frequency,language dominance,and context in cross-language processing.Our study contributed to the understanding of vowel perception in languages with shared orthography but distinct phonological systems,offering insights for models of cross-language cognition and second language education.Furthermore,it highlighted the importance of considering both word frequency and language-specific features in cross-language studies.
