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| 个人信息 |
| 姓 名： |
仪译员 [编号]:3369 |
性 别： |
女 |
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| 擅长专业： |
文化，一般介绍类 |
出生年月： |
1986/11/1 |
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| 民 族： |
汉族 |
所在地区： |
北京 北京 |
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| 文化程度： |
硕士 |
所学专业： |
英语翻译 |
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| 毕业时间： |
2013 |
毕业学校： |
北京航空航天大学 |
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| 第一外语： |
英语 |
等级水平： |
专业八级 |
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| 口译等级： |
中级 |
工作经历： |
1 年 |
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| 翻译库信息 |
| 可翻译语种： |
英语 |
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| 目前所在地： |
北京 北京 |
| 可提供服务类型： |
笔译 |
| 每周可提供服务时间： |
2-4天/周 |
| 证书信息 |
| 证书名称： |
英语专业四级 2011年获专业八级 |
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| 获证时间： |
2009/9/1 |
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| 获得分数： |
74 |
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| 工作经历 |
| 工作时期： |
2012/3/1--2012/5/1 |
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| 公司名称： |
北京索迪斯服务有限公司 |
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| 公司性质： |
外商独资 |
| 所属行业： |
餐饮/旅游 |
| 所在部门： |
宣传部 |
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| 职位： |
公司内部资料翻译 |
| 自我评价： |
工作态度认真，细心， |
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| 笔译案例信息 |
| 案例标题： |
计算机辅助翻译竞赛初赛 |
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| 原文： |
Who gets paid for translation in 2020?
Sustainable Growth Series
Google, Microsoft, Baidu, Yandex and Yahoo! are either getting paid or getting ready to be paid for translation through advertising revenue. Giving access to multilingual information increases their user base and raises cash. Lots of it. They are setting an example that many others would like to emulate.
Anyone who fails to see the fundamental shift in the demand for translation from the traditional buyer to the billions of citizens, patients, tax payers and consumers, is just scratching the surface of the vast potential for the global language industries.
The European Commission tell us that each EU citizen is paying on average �2 per year to fund the one Billion Euro translation budget of the Directorate General of Translation, by far the largest in the world.
We can rightfully say that translation is already being paid for in different ways than the word-price model.
Data-driven machine translation is still in its infancy and the language industry is only just starting to work with this technology on a material scale. We are only at the beginning of an innovation journey that will include game changing shifts for both buyers and providers of translation as they seek to adapt their models to the 21st century.
By 2020 English will already have lost its status as a lingua franca. And no new lingua franca will replace English as a language of commerce. Linguistic diversity is the new reality and machine translation technology will help us to communicate despite all its shortcomings and the inevitable partial understanding.
We can expect that by 2020 automated translation tools will be embedded into every device, application and website. Imagine a web of hundreds of thousands of automatic translators trained not only for a few languages and industry sectors but tuned to a myriad of language pairs, many sub-domains and customized for every company and offering. Such large-scale, if basic translation can only be paid for in ways that don’t exist now.
We can expect a whole new technical infrastructure and service base for our industry. A layer to provide access to language data: the fuel for machine translation. Another layer that organizes and prepares the data for use. The ‘pipes’ that channel data to and from tools and devices. A sea of people needed to keep such an infrastructure running.
In this context TAUS Data is just a first generation incarnation of such an industry utility. In a meeting taking place later this week, on March 1, in San Jose (CA, USA) forty bright minds from the TAUS community and beyond are meeting to brainstorm ‘TAUS Data Vision 2020’.
This group knows that the web of many automatic translators will need the dedication and support of specialists in all business languages of the world. That this web will need to be fed with endless streams of translated words. That this web will need innovative and collaborative infrastructures with shared revenue models abound.
The ubiquitous availability of translation will also stimulate demand for premium services and better communications. Innovators from outside and within the translation industry will jump in with new solutions and new business ideas. Their added value will be in providing linguistic intelligence – i.e. deriving knowledge from masses of data; customized technology – i.e. fit for purpose solutions; and, hyper-localization – i.e. genuinely targeted communication, all of which will leverage the basic utility infrastructure.
Companies that now focus on plain vanilla translation services will need to either acquire machine translation know-how or face marginalization. The CEO who understands that his company needs to make a drastic shift from a product localization practice to an enterprise-wide language strategy will get paid for translation. Translators who specialize in high-value marketing communications and accuracy-demanding medical, legal and financial texts and integrated software messages, they will get paid for translation.
But by 2020 words will be ‘free’
In 2020 words are ‘free’. Almost every word has already been translated before. Our words will be stored somewhere and used again, legitimately in the eyes of the law or not. Every word and every sentence may be recycled and used, whether protected or not, to train an automatic translator to translate better. Even today ‘robots’ are crawling websites to retrieve billions of words that help to train machine translation engines. The latent demand for translation created by unprecedented globalization is making piracy an act of common sense: words are being shared knowingly or not. By 2020 the language industry will already have faced up to and moved on from such a reality.
Languages and their words belong to us all. We must always distinguish truly creative work, trademarks, poems and unique brands. But beyond that why should we prevent our fellow speakers of languages from using ‘our’ words. These words that belong to us all. The more words we share, the better we can communicate, the better for commerce and society. By 2020 the ‘freeing’ of words will have stimulated a virtuous cycle of innovation in translation and language services so that many more people than now get paid or translation.
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| 译文： |
2020年翻译行业谁主沉浮？
持续增长系列
谷歌，微软，百度，Yandex (俄罗斯)和雅虎这些搜索引擎公司凭借着其各自的翻译产品正在获得或准备从中获取广告收入。由于能够获得多种语言信息，这些公司的用户基础扩大了，因此利润也增加了。这样的例子还有很多。这些公司的成功也吸引着其他类似的公司纷纷效仿其法。
人们之所以没有注意到在翻译需求上发生的这种从传统用户到数以亿计的公民，病人，纳税人以及消费者用户群体的基本性转变是因为他们只对全球语言行业的巨大潜力没有作深入的研究。
欧洲委员会向我们阐释这样一个事实，即每位欧盟公民平均每年要向翻译理事会十亿欧元的翻译财政赞助2英镑。
我们可以直言不讳地说翻译行为正以不同的方式得到补偿，按字数计算的模式只是其中之一。
由数据库驱动的机器翻译尚处于起步阶段，而且这一技术刚开始在有限的材料范围内使用。开拓创新的征程上我们只刚迈出一步，由于翻译需求的双方要寻找适合21世纪的模式，所以在这一过程中双方的地位会发生变化。
到2020年，英语作为通用语的地位将会丧失。但与此同时能代替英语作为商业语的新的通用语尚未产生。语言多样化是新的事实，尽管机器翻译技术本身具有一些缺点与不可避免的理解局限性，但它将会对我们的交流起到帮助。
到2020年，人类可以看到自动翻译工具将会被安装到每一个设备，应用程序以及网站上。想象一下，到那时将有成百上千种经过训练的自动翻译工具不仅服务一些语言和工业部门，而且还将为每个公司及每支股票提供大量的语言对，子域和定制服务。在如此大规模翻译量的背景下，以现有的支付方式体现基本翻译成果是不可能实现的。
我们期待能有一套全新的技术设备和一个服务基地能为我们的工业提供服务。一方面要为语言数据提供路径：这是机器翻译的动力。另一方面要为数据库实现应用价值进行组织与做各项准备。所谓的“管道”则将数据在工具和设备之间进行传递。同时还需要一些人使这一基础设施运转起来。
在这一背景下，TAUS数据库只是这一行业应用的第一代化身。本周晚些时候，即三月一日在圣何塞（加州西部城市）举行的一次大会上，来自TAUS社区以及其他公司的四十位专业人士齐聚一堂，创造出了《TAUS 数据库2020版》
这一小组清楚许多自动化的翻译网络工具是需要全世界各种商业语言领域内专家们的支持与贡献的。而这一网络需要无数翻译过来的文字，同时也需要创新与合作刺激出的基础设施，以及利益共享模式。
翻译的这种普遍性也刺激了保险业的增长，同时也对交流提出了更高的要求。翻译行业内外的创新者随时会提出新的商业思想及新的解决方案，其附加值在于提供了以下三方面服务：语言知识---即，从纷繁的数据中获取知识；定制技术---即，适合特定的解决方案以及高度局限化—即，真正导向交流，所有这些都会对这一基础设施的使用产生影响。
现在只注重单纯翻译服务的公司面临两种选择：要么学习机器翻译使用技术，要么被行业边缘化。懂得将公司由产品定位理念向企业规模的语言策略转移的首席执行官会从翻译活动中获得利润。擅长高价值营销传播以及对翻译准确度要求高的医疗，法律和金融文档领域，还有综合性软件信息翻译的工作者将会从中受益。
但到2020年文字将变成“自由的”。
2020年，文字将会“自由流动”。因为几乎每个字在之前都被翻译过了。这些文字会存储在某个地方，然后在法律授权或非授权情况下再次使用。不管受保护与否，每个文字或句子都可能被重复循环使用来训练自动翻译工具，以提高其翻译质量。即使在今天，“机器人”也在检索数十亿个文字来训练机器翻译引擎。前所未有的全球化使得翻译出现了潜在的需求，而这一需求正使得盗版成为一种见怪不怪之事：文字在有形或无形中被共享着。到2020年语言行业将会面临以及遭遇这样一种现实。
语言和文字属于我们每个人。我们要始终要能识别出真正的创造性工作，商标，诗歌以及独特的品牌的慧眼。但为什么我们要阻止说其他语言的同伴们使用“我们”的文字呢？ 这些文字本来就属于我们大家的啊。我们共享的文字越多，交流就越顺畅，对商业以及社会的贡献就越大。到2020年，文字的“自由化”将会使翻译及语言服务也产生出一种良性的创新循环，到那时会有比现在更多的人因翻译而获利。
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