Difference between revisions of "Machine Trans EN 7"

From China Studies Wiki
Jump to navigation Jump to search
Line 57: Line 57:
 
The Belt and Road "construction is comply with the world multi-polarization and economic globalization, cultural diversity, the initiative of social informatization tide, drive along the countries achieve economic policy coordination, to carry out a wider range, higher level, the deeper regional cooperation and jointly create open, inclusive and balanced, pratt &whitney regional economic cooperation framework.
 
The Belt and Road "construction is comply with the world multi-polarization and economic globalization, cultural diversity, the initiative of social informatization tide, drive along the countries achieve economic policy coordination, to carry out a wider range, higher level, the deeper regional cooperation and jointly create open, inclusive and balanced, pratt &whitney regional economic cooperation framework.
  
====4.1一带一路的语言环境====
+
====4.1The language environment of the Belt and Road====
 
The "Belt and Road" involves a wide range of countries and regions, and their languages and cultures are very complex. How to make good use of language, do a good job in translation services, actively spread Chinese culture to the world, strengthen the ability of discourse, and tell Chinese stories well, the first thing to do is to understand the language situation of the countries along the "Belt and Road".
 
The "Belt and Road" involves a wide range of countries and regions, and their languages and cultures are very complex. How to make good use of language, do a good job in translation services, actively spread Chinese culture to the world, strengthen the ability of discourse, and tell Chinese stories well, the first thing to do is to understand the language situation of the countries along the "Belt and Road".
  

Revision as of 16:36, 3 December 2021

Machine Translation - A challenge or a chance for human translators?

Overview Page of Machine Translation

30 Chapters(0/30)

Machine_Trans_EN_1 Machine_Trans_EN_2 Machine_Trans_EN_3 Machine_Trans_EN_4 Machine_Trans_EN_5 Machine_Trans_EN_6 Machine_Trans_EN_7 Machine_Trans_EN_8 Machine_Trans_EN_9 Machine_Trans_EN_10 Machine_Trans_EN_11 Machine_Trans_EN_12 Machine_Trans_EN_13 Machine_Trans_EN_14 Machine_Trans_EN_15 Machine_Trans_EN_16 Machine_Trans_EN_17 Machine_Trans_EN_18 Machine_Trans_EN_19 Machine_Trans_EN_20 Machine_Trans_EN_21 Machine_Trans_EN_22 Machine_Trans_EN_23 Machine_Trans_EN_24 Machine_Trans_EN_25 Machine_Trans_EN_26 Machine_Trans_EN_27 Machine_Trans_EN_28 Machine_Trans_EN_29 Machine_Trans_EN_30 ...

Back to translation project overview

To the To Do list

7 颜莉莉(一带一路背景下人工智能与翻译人才的培养) Machine_Trans_EN_7

Abstract

In the era of artificial intelligence, artificial intelligence has been applied to various fields. In the field of translation, traditional translation models can no longer meet the rapid development and updating of the information age. The development of machine translation has brought structural changes to the language service industry, which poses challenges to the cultivation of translation talents. Under the background of "The Belt and Road initiative", translation talents have higher and higher requirements on translation literacy. Artificial intelligence and translation technology are used to reform the training mode of translation talents, so as to better serve the development of The Times. This paper mainly explores the cultivation of artificial intelligence and translation talents under the background of the Belt and Road Initiative. The cultivation of translation talents is moving towards comprehensive cultivation of talents. On the contrary, artificial intelligence and machine translation can also be used to improve the teaching mode and teaching content, so as to win together in cooperation.

Key words

Artificial intelligence,Machine translation,cultivation of translation talents,"The Belt and Road initiative"

题目

一带一路背景下人工智能与翻译人才的培养

摘要

进入人工智能时代,人工智能被应用于各个领域。在翻译领域,传统的翻译模式已无法满足信息化时代的飞速发展和更新,机器翻译的发展给语言服务行业带来了结构性改变,这对翻译人才的培养提出了挑战。“一带一路”背景下,对翻译人才的翻译素养要求越来越高,利用人工智能和翻译技术对翻译人才培养模式进行革新,更好为时代发展服务。本文主要探究在一带一路背景下人工智能和翻译人才培养,翻译人才的培养过程中正向对人才的综合性培养,反之也可以利用人工智能和机器翻译完善教学模式和教学内容,在合作中共赢。

关键词

人工智能;机器翻译;翻译人才培养;一带一路

1. Introduction

With the development of science and technology in China, artificial intelligence has also been greatly improved, and related technologies have been applied to various fields, such as the use of intelligent robots to deliver food to quarantined people during the epidemic, which has made people's lives more convenient. The most controversial and widely discussed issue is machine translation. Before the emergence of machine translation, translation was generally dominated by human translation, including translation and interpretation, which was divided into simultaneous interpretation and hand transmission, etc. It takes a lot of time and energy to cultivate a translation talent. However, nowadays, the era is developing rapidly and information is updated rapidly. As a translation talent, it is necessary to constantly update its knowledge reserve to keep up with the pace of The Times. The emergence of machine translation has also posed challenges to translation talents and the training of translation talents. Although machine translation had some problems in the early stage, it is now constantly improving its functions. In the context of the belt and Road Initiative, both machine translation and human translation are facing difficulties. Regardless of whether human translation is still needed, what is more important at present is how to train translators to adapt to difficulties and promote the cooperation between human translation and machine translation.

2.Development status of machine translation in the era of artificial intelligence

With the development of AI technology, machine translation has made great progress and has been applied to people's lives. For example, more and more tourists choose to download translation software when traveling abroad, which makes machine translation take an absolute advantage in daily email reply and other translation activities that do not require high accuracy. The translation software commonly used by netizens include Google Translation, Baidu Translation, Youdao Translation, IFly.com Translation, etc. Even wechat and other chat software can also carry out instant Translation into English. Some companies have also launched translation pens, translation machines and other equipment, which enables even native speakers to rely on machine translation to carry out basic communication with other Chinese people. But so far, machine translation still faces huge problems. Although machine translation has made great progress, it is highly dependent on corpus and other big data matching. It does not reach the thinking level of human brain, and cannot deal with the problem of translation differences caused by culture and religion. In addition, many minor languages cannot be translated by machine due to lack of corpus.

What's more, most of the corpus is about developed countries such as Britain and France, and most of the corpus is about diplomacy, politics, science and technology, etc., while there are very few about nationality, culture, religion, etc.

In addition, machine translation can only be used for daily communication at present. If it involves important occasions such as large conferences and international affairs, it is impossible to risk using machine translation for translation work. Professional translators are required to carry out translation work. So machine translation still has a long way to go.

3.Challenges in the training of translation talents in universities

The cultivation of translators is targeted at the market. Professors Zhu Yifan and Guan Xinchao from the School of Foreign Languages at Shanghai Jiao Tong University believe that the cultivation of translators can be divided into four types: high-end translators and interpreters, senior translators and researchers, compound translators and applied translators.

From their names, it can be seen that high-end translators and interpreters and senior translators and researchers talents have high requirements on the knowledge and quality of interpreters, because they have to face the changing international situation, and have to deal with all kinds of sensitive relations and political related content, they should have flexible cross-cultural communication skills. In addition, for literature, sociology and humanities academic works, it is not only necessary to translate their content, but also to understand their essence. Therefore, translators should not only have humanistic feelings, but also need to have a deep understanding of Chinese and western culture.

However, there is not much demand for this kind of translation in the society. Such high-level translation requirements are not needed in daily life and work. The greatest demand is for compound translators, which means that they should master knowledge in a specific field while mastering a foreign language. For example, compound translators in the financial field should not only be good at foreign languages, but also master financial knowledge, including professional terms, special expressions and sentence patterns.

Now we say that machine translation can replace human translation should refer to the field of compound translation talents. Although AI technology has enabled machine translation to participate in creation, it does not mean that compound translation talents will be replaced by machines. The complexity of language and the flexible cross-cultural awareness required in communication make it impossible for machine translation to completely replace human translation.

The last type of applied translation talents are mostly involved in the general text without too much technical content and few professional terms, so it is easy to be replaced by machine translation.

Therefore, the author thinks that what universities are facing at present is not only how to train translation talents to cope with the development of machine translation, but to consider the application of machine translation in the process of training translation talents to achieve human-machine integration, so as to better complete the translation work.

4.The Language environment and opportunities and challenges of the Belt and Road initiative

During visits to Central and Southeast Asian countries in September and October 2013, Chinese President Xi Jinping put forward the major initiative of jointly building the Silk Road Economic Belt and the 21st Century Maritime Silk Road. And began to be abbreviated as the Belt and Road Initiative.

According to the Vision and Actions for Jointly Building silk Road Economic Belt and 21st Century Maritime Silk Road, the Silk Road Economic Belt focuses on connecting China, Central Asia, Russia and Europe (the Baltic Sea). From China to the Persian Gulf and the Mediterranean Sea via Central and West Asia; China to Southeast Asia, South Asia, Indian Ocean. The focus of the 21st Century Maritime Silk Road is to stretch from China's coastal ports to Europe, through the South China Sea and the Indian Ocean. From China's coastal ports across the South China Sea to the South Pacific.

The Belt and Road "construction is comply with the world multi-polarization and economic globalization, cultural diversity, the initiative of social informatization tide, drive along the countries achieve economic policy coordination, to carry out a wider range, higher level, the deeper regional cooperation and jointly create open, inclusive and balanced, pratt &whitney regional economic cooperation framework.

4.1The language environment of the Belt and Road

The "Belt and Road" involves a wide range of countries and regions, and their languages and cultures are very complex. How to make good use of language, do a good job in translation services, actively spread Chinese culture to the world, strengthen the ability of discourse, and tell Chinese stories well, the first thing to do is to understand the language situation of the countries along the "Belt and Road".

4.1.1The most common language in countries along the "Belt and Road"

There are a wide variety of languages spoken in 65 countries along the Belt and Road, involving nine language families. However, The status of English as the first language in the world is undeniable. Most of the countries participating in the Belt and Road are developing countries, and many of them speak English as their first foreign language. Especially in southeast Asian and South Asian countries, English plays an important role in foreign communication, whether as the official language or the first foreign language. Besides English, more than 100 million people speak Russian, Hindi, Bengali, Arabic and other major languages in the "Belt and Road" countries. It can also be seen that a common feature of languages in countries along the "Belt and Road" is the popularization of English education. English is widely used in international politics, economy, culture, education, science and technology, playing the role of the most important language in the world.

4.1.2The complex language conditions of countries along the "Belt and Road"

The languages spoken in countries along the Belt and Road involve nine major language families and almost all the world's religious types. Differences in religious beliefs also result in differences in culture, customs and social values behind languages. The languages of some countries along the belt and Road have also been influenced by historical and realistic factors, such as colonization, internal division and immigration.

India, for example, has no national language, but more than 20 official languages. India is a multi-ethnic country, a total of more than 100 people, one of the most obvious difference between nation and nation is the language problem. Therefore, according to the difference of language, India divides different ethnic groups into different states, big and small. Ethnic groups that use the same language are divided into one state. If there are two languages in a state, the state is divided into two parts. And Indian languages differ not only in word order but also in the way they are written. In India, for example, Hindi is spoken by the largest number of people in the north, with about 700 million speakers and 530 million as their first language. It is written in The Hindu language and belongs to the Indo-European language family. Telugu in the east is spoken by about 95 million people and 81.13 million as their first language. It is written in Telugu, which belongs to the Dravidian language family and is quite different from Hindi. As a result, a parliamentary session in India requires dozens of interpreters.

These factors cannot be ignored in the process of translation, from language communication to cultural understanding, from text to thought exchange, through the bridge of language to truly connect the people, so as to avoid misreading and misunderstanding caused by differences in language and national conditions.

4.2Opportunities and challenges of the "Belt and Road"

With the promotion of the Belt and Road Initiative, there has been an unprecedented boom in translation. In the previous translation boom in China, most of the foreign languages were translated into Chinese, and most of the foreign cultures were imported into China. However, this time, in the context of the "Belt and Road" initiative, translating Chinese into foreign languages has become an important task for translators. As is known to all, there are many different kinds of "One Belt And One Road" along the national language and culture is complex, the service "area" construction has become a factor in Chinese translation talents training mode reform, one of the foreign language universities have action, many colleges and universities to establish the "area" all the way along the country's small language major, as a result, "One Belt And One Road" initiative to promote, It has brought unprecedented opportunities for human translation. The cultivation of diversified translation talents and the cultivation of translation talents in small languages is an urgent problem to be solved in China. The cultivation of translation talents cannot be completed overnight, and the state needs to reform the training mode of translation talents from the perspective of language strategic development. Only in this way can we meet the new demand for human translation under the new situation of the belt and Road Initiative.

For a long time, the traditional orientation of translation curriculum and training goal in colleges and universities is to train translation teachers and translators in need of society through translation theory and practice and literary translation practice, which cannot meet the needs of society. Since 2007, in order to meet the needs of the socialist market economy for application-oriented high-level professionals, the Academic Degrees Committee of The State Council approved the establishment of Master of Translation and Interpreting (MTI for short). After joining the pilot program of MTI, more and more universities are reforming the curriculum and training mode of master of Translation in order to cultivate translators who meet the needs of the society.

Language is an important carrier of culture, and translation is an important link for exporting culture. The quality of translation output also reflects the cultural soft power of a country. With the rise of China, more and more people are interested in Chinese culture, and the number of Chinese learners keeps increasing. Under the background of "One Belt and One Road", excellent translators are urgently needed to spread Chinese culture. With the promotion of "One Belt and One Road" Initiative, the number of other countries learning mutual learning and cultural exchanges with China has increased unprecedeningly, bringing vigorous opportunities for the spread of Chinese culture. Translation talents who understand small languages and multi-lingual translators are needed. They should not only use language to convey information, but also use language as a lubricant for communication.

5.在机器翻译视域下如何培养翻译人才

5.1 对翻译人才的素养要求

5.2 利用人工智能进行翻译实践活动

5.3 大数据、术语库和语料库的应用

6针对一带一路的机器翻译与翻译人才的合作

Conclusion

References