Machine Trans EN 8 - Revision history

Yan Jing at 11:37, 13 December 2021

2021-12-13T11:37:38Z

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Yan Jing: /* References */

2021-12-13T11:20:02Z

References

Xie Jiafen at 08:19, 12 December 2021

2021-12-12T08:19:58Z

Yan Jing at 14:20, 11 December 2021

2021-12-11T14:20:10Z

Yan Jing at 14:18, 11 December 2021

2021-12-11T14:18:22Z

Yan Jing at 14:16, 11 December 2021

2021-12-11T14:16:35Z

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Yan Jing: /* 题目 */

2021-12-11T13:21:02Z

题目

Yan Jing at 07:30, 4 December 2021

2021-12-04T07:30:57Z

Yan Jing: /* Key words */

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Yan Jing at 07:25, 4 December 2021

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 Li Hanji 李晗佶. (2021). 人工智能时代翻译技术与译者关系演变与重构 [Evolution and reconstruction of the relationship between translation technology and translators in the era of artificial intelligence]. 西华师范大学学报(哲学社会科学版) Journal of West China Normal University (PHILOSOPHY AND SOCIAL SCIENCES EDITION) (2021-12-04) 1-6.
-Liang Xiaobo, Deng Zhen 梁晓波,邓祯.(2021). 美军语言智能处理技术的发展策略与启示 [Liang Xiaobo, Deng Zhen]. 国防科技 National defense science and technology 42(04) 85-91.
+Liang Xiaobo, Deng Zhen 梁晓波,邓祯.(2021). 美军语言智能处理技术的发展策略与启示 [The Development Stategies and Inspirations of Language Intelligence Technologies of American Army]. 国防科技 National defense science and technology 42(04) 85-91.
 Wang Hongqi 王红旗. (2008). 语言学概论 [Introduction to Linguistics]. Beijing: Peking University Press 北京大学出版社.
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 Xu Jun, Mu Lei 许均, 穆雷. (2021). 翻译学概论 [Introduction to Translatology].Beijing: Yilin Publishing House 译林出版社.
-Zhang Le, Tang Liang 张乐,唐亮. (2020). 人工智能时代语言学家面临的机遇和挑战 [Opportunities and challenges faced by linguists in the era of artificial intelligence].电脑知识与技术 Computer Knowledge and Technology 16(24) 195-197.
+Zhang Le, Tang Liang 张乐, 唐亮. (2020). 人工智能时代语言学家面临的机遇和挑战 [Opportunities and challenges faced by linguists in the era of artificial intelligence].电脑知识与技术 Computer Knowledge and Technology 16(24) 195-197.
 Written by --[[User:Yan Jing|Yan Jing]] ([[User talk:Yan Jing|talk]]) 14:18, 11 December 2021 (UTC)

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 ===1. Introduction===
-Obviously, we are now in an era of "explosion" of information and knowledge, which makes us have to find ways to deal with it quickly. Language is the manifestation of information, and the tool that can deal with language with complicated information is just computer. It happens that human beings do not have a special organ to perceive language, but carry the image and sound symbols of language through visual and auditory perception, and then form language information through brain processing and abstraction. Therefore, language intelligence also belongs to the research category of "cognitive intelligence". In view of this, computer has carried out the research on language, among which the common research fields are "natural language processing", "language information processing" and "Computational Linguistics". These three are different, but they all have the same goal, that is, to enable computers to realize and express with language, solve language related problems and simulate human language ability. Among them, machine translation is the integration of language intelligence and technology. The comprehensive research of MT in China starts from the mid-1980s. Especially since the 1990s, a number of MT systems have been published and commercialized systems have been launched. In addition, various universities in China have also carried out MT and computational linguistics research, developed various translation experimental systems and achieved fruitful results. In the research of machine translation, it involves not only translation model and language model, but also alignment method, part of speech tagging, syntactic analysis method, translation evaluation and so on. Therefore, researchers must understand the basic knowledge of translation and be proficient in English, Chinese or other languages. Therefore, we say that compound talents with computer and language related knowledge will be more needed in the language industry or the computer field.
+Obviously, we are now in an era of "explosion" of information and knowledge, which makes us have to find ways to deal with it quickly. Language is the manifestation of information, and the tool that can deal with language with complicated information is just a computer. It happens that human beings do not have a special organ to perceive language, but carry the image and sound symbols of language through visual and auditory perception, and then form language information through brain processing and abstraction. Therefore, language intelligence also belongs to the research category of "cognitive intelligence". In view of this, computer has carried out the research on language, among which the common research fields are "natural language processing", "language information processing" and "Computational Linguistics". These three are different, but they all have the same goal, that is, to enable computers to realize and express with language, solve language related problems and simulate human language ability. Among them, machine translation is the integration of language intelligence and technology. The comprehensive research of MT in China starts from the mid-1980s. Especially since the 1990s, a number of MT systems have been published and commercialized systems have been launched. In addition, various universities in China have also carried out MT and computational linguistics research, developed various translation experimental systems and achieved fruitful results. In the research of machine translation, it involves not only translation model and language model, but also alignment method, part of speech tagging, syntactic analysis method, translation evaluation and so on. Therefore, researchers must understand the basic knowledge of translation and be proficient in English, Chinese or other languages. Therefore, we say that compound talents with computer and language related knowledge will be more needed in the language industry or the computer field.
 ===2. Artificial Intelligence in Rapid Development===
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 ===Conclusion===
 With the continuous development of artificial intelligence and translation technology, great changes will take place in the language service industry, and translation technology will play a greater role in it. As preparatory translators, students should seize the opportunity to constantly learn new knowledge and make full use of their own language advantages to occupy a place in the field of translation technology, while formal translators need to put aside their prejudices and embrace new technology and its convenience, while grasping the translation mode of man-machine combination, constantly improve their core competitiveness to achieve vertical development, and combine with other fields to achieve horizontal development.
 ===References===

← Older revision		Revision as of 14:20, 11 December 2021
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	Zhang Le, Tang Liang 张乐,唐亮. (2020). 人工智能时代语言学家面临的机遇和挑战 [Opportunities and challenges faced by linguists in the era of artificial intelligence].电脑知识与技术 Computer Knowledge and Technology 16(24) 195-197.		Zhang Le, Tang Liang 张乐,唐亮. (2020). 人工智能时代语言学家面临的机遇和挑战 [Opportunities and challenges faced by linguists in the era of artificial intelligence].电脑知识与技术 Computer Knowledge and Technology 16(24) 195-197.
		+

	Written by --[[User:Yan Jing\|Yan Jing]] ([[User talk:Yan Jing\|talk]]) 14:18, 11 December 2021 (UTC)		Written by --[[User:Yan Jing\|Yan Jing]] ([[User talk:Yan Jing\|talk]]) 14:18, 11 December 2021 (UTC)

← Older revision		Revision as of 14:18, 11 December 2021
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	Zhang Le, Tang Liang 张乐,唐亮. (2020). 人工智能时代语言学家面临的机遇和挑战 [Opportunities and challenges faced by linguists in the era of artificial intelligence].电脑知识与技术 Computer Knowledge and Technology 16(24) 195-197.		Zhang Le, Tang Liang 张乐,唐亮. (2020). 人工智能时代语言学家面临的机遇和挑战 [Opportunities and challenges faced by linguists in the era of artificial intelligence].电脑知识与技术 Computer Knowledge and Technology 16(24) 195-197.

−	Written by --[[User:Yan Jing\|Yan Jing]] ([[User talk:Yan Jing\|talk]]) 14:16, 11 December 2021 (UTC)	+	Written by --[[User:Yan Jing\|Yan Jing]] ([[User talk:Yan Jing\|talk]]) 14:18, 11 December 2021 (UTC)

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 ===题目===
-论语言智能之机器翻译——我们的选择和未来
+论语言智能下的机器翻译——译者的选择与机遇
 ===摘要===

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 Nowadays the artificial intelligence is sweeping the world, however, the traditional language study and language service industry are facing new challenges.  This paper attempts to comb and analyze the development process of language intelligence in artificial intelligence and the development status of language study and language industry under the background of information age to interpret the feasibility of liberal arts translators to engage in machine translation research and necessity to apply machine translation, thus to provide a reference on the development path for preparatory translators（students majored in language and translation） and full-time and part-time formal translators.
 ===Key words===
-Language Intelligence; Machine Translation; New Libral Arts; Interdisciplinarity
+Language Intelligence; Machine Translation; Interdisciplinarity; Language Service
 ===题目===
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 ===关键词===
-语言智能；机器翻译；新文科；学科交叉
+语言智能；机器翻译；学科交叉；语言服务
 ===1. Introduction===

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 ===References===
-Chen Yin 陈鄞. (2017). 自然语言处理基本理论和方法 [Basic theories and methods of natural language processing]. Harbin: Harbin Institute of Technology Press 哈尔滨工业大学出版社.
+Chen Yin 陈鄞. (2017). 自然语言处理基本理论和方法 [Basic Theories and Methods of Natural Language Processing]. Harbin: Harbin Institute of Technology Press 哈尔滨工业大学出版社.
 Feng Zhiwei 冯志伟. (2011).语言与数学 [Language and Mathematics].Beijing: World Book Publishing Company 世界图书出版公司.
-Han Lintao 韩林涛. (2020). 译者编程入门指南 [An introduction guide to translator programming]. Beijing: Tsinghua University Press 清华大学出版社.
+Han Lintao 韩林涛. (2020). 译者编程入门指南 [An Introduction Guide to Translator Programming]. Beijing: Tsinghua University Press 清华大学出版社.
 Hu Kaibao, Tian Xujun 胡开宝,田绪军. (2020). 语言智能背景下的MTI人才培养:挑战、对策与前景 [MTI talent training in the context of language intelligence: challenges, countermeasures and prospects]. 外语界 foreign language 2020(02) 59-64.
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 Liang Xiaobo, Deng Zhen 梁晓波,邓祯.(2021). 美军语言智能处理技术的发展策略与启示 [Liang Xiaobo, Deng Zhen]. 国防科技 National defense science and technology 42(04) 85-91.
-Wang Hongqi 王红旗. (2008). 语言学概论 [Introduction to linguistics]. Beijing: Peking University Press 北京大学出版社.
+Wang Hongqi 王红旗. (2008). 语言学概论 [Introduction to Linguistics]. Beijing: Peking University Press 北京大学出版社.
 Wang Huashu, Ma Shichen, Yang Shaolong 王华树,马世臣,杨绍龙. (2021). 语言服务行业翻译技术发展现状及前瞻 [Development status and Prospect of translation technology in language service industry].河南工业大学学报(社会科学版)  Journal of Henan University of Technology (SOCIAL SCIENCE EDITION) 37(04) 1-6.
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 Wang Zonghua 王宗华. (2021). 人工智能时代语言服务业发展对策研究 [Research on the countermeasures of language service industry development in the era of artificial intelligence]. 齐齐哈尔大学学报(哲学社会科学版) Journal of Qiqihar University (PHILOSOPHY AND SOCIAL SCIENCES EDITION)  2021(06) 131-134.
-Xu Jun, Mu Lei 许均, 穆雷. (2021). 翻译学概论 [Introduction to translatology].Beijing: Yilin Publishing House 译林出版社.
+Xu Jun, Mu Lei 许均, 穆雷. (2021). 翻译学概论 [Introduction to Translatology].Beijing: Yilin Publishing House 译林出版社.
 Zhang Le, Tang Liang 张乐,唐亮. (2020). 人工智能时代语言学家面临的机遇和挑战 [Opportunities and challenges faced by linguists in the era of artificial intelligence].电脑知识与技术 Computer Knowledge and Technology 16(24) 195-197.