With the popularity of English learning in the world,the demand for instructional materials is increasing,and how to accurately convey the information of these texts to English-learners and provide the learners with a...With the popularity of English learning in the world,the demand for instructional materials is increasing,and how to accurately convey the information of these texts to English-learners and provide the learners with an effective learning experience has become a major problem.Therefore,the role of the translator is crucial.It is found that that translators should make linguistic choices based on the text functions and target readers’expectations,and flexibly adopt the translation strategies,such as addition,conversion,and cohesion to convey the intention of the source author and generate the source context accurately and appropriately.Applying relevant theories to the analysis of translation cases,the paper tentatively puts forward solutions to the problems encountered in the E-C translation of chapter one of Murder Your Darlings and Other Gentle Writing Advice from Aristotle to Zinsser.Hopefully,it could provide a reference for other translators working on instructional texts.展开更多
Geological reports are a significant accomplishment for geologists involved in geological investigations and scientific research as they contain rich data and textual information.With the rapid development of science ...Geological reports are a significant accomplishment for geologists involved in geological investigations and scientific research as they contain rich data and textual information.With the rapid development of science and technology,a large number of textual reports have accumulated in the field of geology.However,many non-hot topics and non-English speaking regions are neglected in mainstream geoscience databases for geological information mining,making it more challenging for some researchers to extract necessary information from these texts.Natural Language Processing(NLP)has obvious advantages in processing large amounts of textual data.The objective of this paper is to identify geological named entities from Chinese geological texts using NLP techniques.We propose the RoBERTa-Prompt-Tuning-NER method,which leverages the concept of Prompt Learning and requires only a small amount of annotated data to train superior models for recognizing geological named entities in low-resource dataset configurations.The RoBERTa layer captures context-based information and longer-distance dependencies through dynamic word vectors.Finally,we conducted experiments on the constructed Geological Named Entity Recognition(GNER)dataset.Our experimental results show that the proposed model achieves the highest F1 score of 80.64%among the four baseline algorithms,demonstrating the reliability and robustness of using the model for Named Entity Recognition of geological texts.展开更多
在公司信息化建设整体架构中,档案管理作为日常办公和业务管理过程后续,重要性日渐突出。它作为企业信息资源管理及信息共享的重要组成部分,实现档案信息的目录、全文检索,并提供 WEB 端查询,通过整合相关业务管理系统的归档信息,为日...在公司信息化建设整体架构中,档案管理作为日常办公和业务管理过程后续,重要性日渐突出。它作为企业信息资源管理及信息共享的重要组成部分,实现档案信息的目录、全文检索,并提供 WEB 端查询,通过整合相关业务管理系统的归档信息,为日常管理、工程建设、项目实施等提供对比辅助分析,提高档案的信息化水平和综合管理。展开更多
文摘With the popularity of English learning in the world,the demand for instructional materials is increasing,and how to accurately convey the information of these texts to English-learners and provide the learners with an effective learning experience has become a major problem.Therefore,the role of the translator is crucial.It is found that that translators should make linguistic choices based on the text functions and target readers’expectations,and flexibly adopt the translation strategies,such as addition,conversion,and cohesion to convey the intention of the source author and generate the source context accurately and appropriately.Applying relevant theories to the analysis of translation cases,the paper tentatively puts forward solutions to the problems encountered in the E-C translation of chapter one of Murder Your Darlings and Other Gentle Writing Advice from Aristotle to Zinsser.Hopefully,it could provide a reference for other translators working on instructional texts.
基金supported by the National Natural Science Foundation of China(Nos.42488201,42172137,42050104,and 42050102)the National Key R&D Program of China(No.2023YFF0804000)Sichuan Provincial Youth Science&Technology Innovative Research Group Fund(No.2022JDTD0004)
文摘Geological reports are a significant accomplishment for geologists involved in geological investigations and scientific research as they contain rich data and textual information.With the rapid development of science and technology,a large number of textual reports have accumulated in the field of geology.However,many non-hot topics and non-English speaking regions are neglected in mainstream geoscience databases for geological information mining,making it more challenging for some researchers to extract necessary information from these texts.Natural Language Processing(NLP)has obvious advantages in processing large amounts of textual data.The objective of this paper is to identify geological named entities from Chinese geological texts using NLP techniques.We propose the RoBERTa-Prompt-Tuning-NER method,which leverages the concept of Prompt Learning and requires only a small amount of annotated data to train superior models for recognizing geological named entities in low-resource dataset configurations.The RoBERTa layer captures context-based information and longer-distance dependencies through dynamic word vectors.Finally,we conducted experiments on the constructed Geological Named Entity Recognition(GNER)dataset.Our experimental results show that the proposed model achieves the highest F1 score of 80.64%among the four baseline algorithms,demonstrating the reliability and robustness of using the model for Named Entity Recognition of geological texts.
文摘在公司信息化建设整体架构中,档案管理作为日常办公和业务管理过程后续,重要性日渐突出。它作为企业信息资源管理及信息共享的重要组成部分,实现档案信息的目录、全文检索,并提供 WEB 端查询,通过整合相关业务管理系统的归档信息,为日常管理、工程建设、项目实施等提供对比辅助分析,提高档案的信息化水平和综合管理。
