本地化翻译

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passolo 词汇表

passolo 词汇表

passolo 词汇表全文共四篇示例,供读者参考第一篇示例:Passolo是一种专业的软件本地化工具,广泛应用于软件开发领域和国际化市场中。

通过Passolo,开发人员可以轻松地将软件本地化为不同语言版本,以满足全球用户的需求。

在使用Passolo时,我们需要了解一些关键词汇,以便更好地理解其功能和操作流程。

下面是关于Passolo词汇表的详细介绍。

1. 本地化(Localization):指将软件或产品根据不同的国家或地区的语言、文化和法律要求做出相应的调整,以满足当地用户的需求。

2. 国际化(Internationalization):指设计和开发软件或产品时考虑到不同语言和文化的差异,使其具有较强的适应性和兼容性,方便未来的本地化工作。

3. 项目(Project):在Passolo中,项目是指需要进行本地化处理的软件或产品。

每个项目都包含了一系列要翻译和本地化的资源文件。

4. 资源文件(Resource file):这是软件开发过程中使用的文件,包括界面文本、图标、对话框等。

Passolo可以直接处理这些资源文件,进行本地化工作。

5. 界面文本(UI text):指软件界面上显示的文字内容,通常包括菜单、按钮、标签等。

6. 翻译(Translation):将源语言的文字内容翻译成目标语言的过程。

Passolo提供了翻译工具和功能,方便用户进行翻译工作。

7. 本地化工程师(Localization Engineer):负责软件本地化工作的专业人员,具有一定的语言能力和技术知识,能够处理各种本地化工作。

8. 术语库(Termbase):存储软件本地化过程中的专业术语和翻译对应关系的数据库,用于保证翻译的一致性和准确性。

10. 术语一致性(Terminology consistency):指在软件本地化过程中,术语和翻译之间保持一致,避免出现矛盾或混淆的情况。

11. 导入(Import):将源语言的资源文件导入Passolo中进行本地化处理的操作。

Localization——本地化

Localization——本地化

• GALA(Globalization and Localization Association) ,即国际化与本地化协会,是翻译、 国际化、本地化和全球化行业的一个具有全面代 表性的非盈利的国际行业组织,于2002年4月15日 由来自四大洲 12 个国家的 15 个本地化社团创建, 总部设在美国,大约有200个团体会员,属于首要 国际协会之列。
本地化与国际化
•国际化 ( 全球化 ) 是指开发的产品能适应不同市场的需求。本地化是 指将国际化的产品投入某一特定的目标市场。以适应特定地区、国 家的文化,满足特定人群的需求(这时翻译只是本地化的一部分)。 •Internationalization, encompasses the planning and preparation stages for a product that is built by design to support global markets. This process removes all cultural assumptions and any country- or language-specific content is stored so that it can be easily adapted. If this content is not separated during this phase, it must be fixed during localization, adding time and expense to the project. In extreme cases, products that were not internationalized may not be localizable.
本地化翻译

机器翻译中的本地化翻译方法研究

机器翻译中的本地化翻译方法研究

机器翻译中的本地化翻译方法研究机器翻译(Machine Translation, MT)是指利用计算机自动将一种语言的文本翻译成另一种语言的技术。

随着全球化的发展,跨语言交流日益频繁,机器翻译在实现不同语言间的沟通和理解方面起到了重要的作用。

然而,由于不同语言之间的差异和语言规范的个体化,机器翻译仍然面临一系列的挑战,其中之一就是如何进行本地化翻译。

本地化翻译(Localization Translation)是指根据文化和习俗的差异,对产品、服务和内容进行适应和调整的过程。

在机器翻译中,本地化翻译是指将翻译结果进行进一步的调整和优化,以符合目标语言用户的习惯和偏好。

本地化翻译的目标是使机器翻译结果更符合目标语言使用者的需求,并提高翻译的质量和可理解性。

为了进行本地化翻译,研究人员提出了一系列的方法和技术。

以下将介绍几种主要的本地化翻译方法:1. 术语本地化术语是特定领域中的专业词汇,对于保持文本的一致性和准确性至关重要。

在机器翻译中,术语本地化是指将源语言中的术语翻译成目标语言中的相应术语。

为了实现术语本地化,可以使用术语词典和术语数据库,将术语对应关系作为机器翻译的规则进行翻译。

此外,还可以利用机器学习技术,通过分析大量的术语对齐数据,自动学习术语之间的对应关系。

2. 语言风格本地化不同语言有不同的语法结构、表达方式和文化背景,使得翻译结果的风格和口语化程度存在差异。

在本地化翻译中,语言风格本地化是指将源语言文本的语言风格和表达方式调整为目标语言的习惯和偏好。

例如,英语中的表达方式可能更正式和直接,而在中文中可能更婉转和间接。

为了实现语言风格本地化,可以使用统计机器翻译中的语言模型和翻译模型,对翻译结果进行进一步的调整和优化。

3. 文化差异本地化不同文化背景和社会习俗对语言的使用和理解产生了深远影响。

在本地化翻译中,文化差异本地化是指将源语言文本中的文化细节和习俗调整为目标语言的文化背景和社会习惯,以便目标语言用户更好地理解和接受翻译结果。

本地化翻译过程

本地化翻译过程

Demystifying the Costs of Localization andTranslation (1)∙I already understand localization. Or do I?∙What do translators really do with my product?∙Why is localization so expensive?Introduction―Why is localization so expensive?!‖We hear this question a lot from our clients, and at one time we had a short answer for it:Words.Our clients usually just scowled at us when we gave that answer, and so we elaborated a bit:The expense-perspective: You paid to create yourEnglish-language product, but because your engineers andwriters use English words, it looked to you as though you didn’tpay anything to create it. Now you need to write a fat check tosomebody in order to create other versions, and you’re annoyedbecause ―all they’re doing is translating,‖ which feels like child’splay compared to the work you’ve done.The revenue-perspective: Your investment in theEnglish-language product will be returned by lots and lots ofEnglish-speaking people who will give you money because yousolved their problems. Similarly, localization is an investment in a[German/Japanese/Korean/Russian/ French/...] product, and thisinvestment will be returned by lots and lots ofnon-English-speaking people who will give you money for solvingtheir problems.In other words, there is an expense-side and a revenue-side to the coin of localization.We also hear that many people in technology consider the process of delivering international products a ―black box‖. Accordingly, Part I of this paper explains the terms and steps in ―Internationalization‖ and ―Localization,‖ with a few grisly details that are second nature to translation professionals, but which look like a black box to most of their clients. In Part II we describe where high localization costs come from, and what organizations can do about the side of the black box over which they do have some control. (When all is said and done, it still comes down to the first answer: Words.)Background: InternationalizationIt is best in the long run to first internationalize the software, as in the Portuguese example in Figure 1, so that no matter how it changes for user interface or business logic, the code base at the core of the product is always the same (sometimes called a single worldwide binary). To externalize those features and characteristics that can change from one region (or locale) to another—e.g., language, color scheme and accounting standards in software, or narrative examples, conditional text and legal text in documentation—is to place them in separate resource files that vary from locale to locale, then call them from a single, common code base.Figure 1This process of internationalization (or I18n, because there are 18 letters between the ―I‖ and the ―n‖) makes life easier for a number of people along the value chain.character set enabling, overall software architecture – but ultimately, companies internationalize their products not only because it’s better engineering, but also because they can reduce time to market and make/save more money in all regions.Of course, it’s nearly impossible to get I18n right the first time, and it usually requires multiple product cycles to refine the process, so the enlightened organization takes a long, patient view. Impatient organizations may leave locale-specific elements, such as strings or error messages, inside the code base, usually to get the English-language product to market in a hurry. This is not evil, but there are costs associated with it later in the process. Companies which outsource I18n effectively leave much of the process inside the black box. For those companies whose own engineers and writers internationalize their products, I18n is not so mysterious.Background: LocalizationFew companies, however, localize their products themselves, because few companies can justify the cost of keeping translators and localization engineers on staff. Localization (or L10n) is the process of delivering a product that meets the needs of users in a specific locale, and because most companies outsource this function, it usually lands squarely in the black box. The L10n process is not completely different from or contrary to the process of creating most technology deliverables. When the product has been properly internationalized, L10n is a parallel function that takes a copy of the resources from their normal flow in development, modifies the copy for the needs of a specific locale, and joins the original further downstream in the development flow (Figure 2).Figure 2There are a few localization concepts, however, which are alien to most people who build technology products, and these concepts are inside the black box. Key ConceptsGlossary (Terminology List)To ensure uniformity of translation throughout the product (and, as the international effort grows, throughout the company), it is a good practice to put in place a glossary, which contains approved translations of key words andphrases. A translation glossary gives the equivalent of the key terms in the target language.Figure 3The Explanation column in Figure 3 is very important for preserving contextual information for the benefit of the translators. Note also that the glossary plays the important role of dictating what should not be translated.Here are some key moments in the life of a glossary:1. Client hands off early version of product to localization vendor forcreation of glossary.2. Localization vendor compiles list of key terms, with contextualcomments.3. Client conducts training session for translators and editors (optional,and too often overlooked)4. Translator translates (or, in some cases, doesn’t translate) intotarget-language equivalents.5. Vendor returns glossary draft to client.6. Client sends glossary out for review by stakeholders most likely tocomplain about undesirable translations, in order to avoid thesecomplaints once the product has been released. (This is extremelyimportant, and should be performed by in-country partners andco-workers whose livelihood depends on the quality of the translation.)7. Client returns glossary comments to vendor, who incorporates them.8. Once approved, the glossary goes to translators, reviewers, editors andclient for continued reference.A typical glossary will contain a few dozen up to a few hundred terms.Simultaneous shipment (Sim-ship)Handing off resources for translation early in development allows the localization process to begin sooner, but the original resources are more likely to change and grow, requiring additional handoffs before release of the original. On the other hand, handing off the resources after the release of the original ensures that they are frozen, but delays the launch into the regional markets (see Figure 2).Simultaneous shipment in multiple languages is attainable, but it usually takes several localization cycles, as well as ironclad buy-in from upper management. The localization process needs to be an integral part of mainstream development so that changes to the original move quickly into the localized versions.Machine Translation (MT)The urge to automate as much of human effort as possible has also touched the specialty of translation. Since the 1950’s, the field of computational linguistics has contributed a great deal to the technology behind computerized translation, and the road ahead is filled with promise.In MT, the computer applies rules and algorithms for syntax, morphology, semantics and other rules to translate text into a destination language. Another approach uses statistical models to arrive at the most likely translation for the input text. Depending on the source-destination language-pair (some are better matched than others), the unedited result will almost always preserve meaning, but it will rarely be as natural as if translated by a human native speaker.Some localization vendors use MT as adjunct technology in their translation workflow. It can save money and time as an interim step to a post-translation editing pass, but by and large, human language is too old and MT not (yet) old enough for most clients to entrust completely the localization of, say, technical documentation entirely to a computer.Translation Memory (TM) and Computer-Assisted Translation (CAT) Tools While also computer-based, these tools differ from Machine Translation. The goal of MT is for the computer to bear the brunt of the translation work, whereas TM and CAT tools help the translator do his/her own translating better, more accurately and faster. Localization vendors in the 21st century must use these tools not only to compete on price, but also to meet market expectations of consistency and quality of translation. Currently prominent products in theTM/CAT category include Catalyst, Déjà Vu, Passolo, SDLX and Trados, among many others.TM expands on the idea of the glossary. Beyond correlating a few dozen or hundred key terms, TM creates a one-to-one correlation between all of the source text and all of the destination text in the entire product and places these correlated pairs into a scalable database. Figure 4 shows source text on the left and destination text on the right.Figure 4The database may contain text from software resources, documentation, Web pages and marketing collateral, making all of it available as reference material to any translator working on any of these projects. In addition, fuzzy-matching algorithms rate approximate matches, so if the TM software finds similarity between a new sentence and another sentence already translated in thedatabase, it will suggest it to the translator with a percentage-rating of closeness.Benefits of TMSeveral compelling benefits can accrue to the organization with all (or even most) of its translation memory in a database.Analysis and cost estimates are more accurateAs observed somewhat ironically on page 2, the key metric in the cost of a localization project is Words. Before TM, it sufficed to estimate the wordcount of the entire project and multiply it by a price per word, but why pay tore-translate text that has already been translated, or which appears identically in many different places? With TM, it is possible to determine the wordcount of phrases and sentences that have already been translated, and thereby arrive at a more accurate cost estimate.Figure 5shows the analysis on a batch of ten new files submitted to a vendor for translation.• 38,891 words are in 4,130 repeated segments 1, or segments whichexactly match another segment in the ten files. The translator can translate the first occurrence of these segments and the TM software will propagate themthroughout the project. In addition, 4,674 words are ―placeable‖ (numbers, tags, symbols) and do not require translation.• In descending buckets from 100% down to 50%, there are a few hundred words in segments which have been translated before. These bucketsrepresent descending degrees of fuzzy match.• The software finds no match for segments containing 104,661 wo rds, so these must be translated from scratch. The 4,951 placeable words donot require translation.Many vendors offer discounts based on this analysis: The higher the percentage match bucket, the greater the discount on words in that bucket.• A 100% match means, of course, that no translation work is required, but the words in the 100% segments must still be ―touched‖ (engineering,desktop publishing, translation memory work, final review, QA), so fewvendors discount them entirely.• A 95-99% match often means that punctuation or the spelling of a single word has changed, or a word has been added or deleted, so a translator must do some light work on the segment and the vendor will discountthe segment slightly less.• Below 75% matches, however, discounts are less common because, by the time the translator has found and dealt with the differences between the old and the new text, s/he may as well translate it from scratch. The vendor can pre-translate new versionsBefore the new file has made it as far as the translator, the TM software will have pre-translated as many 100% matches as possible. For any segment that already has a match in the TM database, the software will retrieve and place the corresponding translation. This greatly reduces the translator’s work and shortens the time to deliver the completed product.In Figure 6, the Chinese segments marked with gold (lines 164-171 in the right-hand column) are 100% matches for the corresponding English segments on the left, which have been retrieved from TM and dropped into the translator’s work file in advance.Figure 6Translations enjoy leverage from one version to the nextSimilarly, the software identifies fuzzy matches and places them. The translator modifies the existing translation in light of how the source text has changed and adds the new segment to the TM database. This helps the translator spot English segments that have changed since the last time the product was translated.Figure 7In Figure 7, segment 174 reads ―You will be charged for this application.‖ The software found the closest fuzzy match (84%) and pre-translated it, tagging it green to call the translator’s attention to it. The TM Difference View window shows the very important change made to the English sentence since the last round of translation: The sentence now reads ―You will not be charged for this application.‖ The software provides enough of the original translation so that the translator does not need to start from scratch.The leverage from one version of the localized product to the next is a tremendous advantage of TM software. While it does not lower the overall wordcount of a product, it eliminates needless work for the translators and shortens time to market for the localized versions.All terms are available for lookup and concordance searchThe combination of the TM database and fuzzy matching also allows for concordance searches on specific text for similar, but not necessarily identical, occurrences.Figure 8In Figure 8 the translator has looked up ―Please try again later‖ in the TM database to see in how many different ways similar text has been translated in the past. This functionality goes deeper than that of a translation glossary because it broadens the subject of the lookup from key terms to common phrases, and the domain of lookup from the few hundred glossary terms to the entire TM database.Clients preserve history from one vendor to the nextFinally, the TM database represents a valuable asset if/when the time comes to change localization vendors. With TM, if a vendor goes out of business or is unable to scale to meet a client’s localization needs, the client can forward the TM database to the new vendor, who can then exploit the translation history with less delay.There may be technical limitations (different TM database formats) and legal issues (ownership of the TM database itself), but the larger the translation history, the smaller these issues look by comparison.A few more notes on TM• The real value in TM lies in its continued use over time. A sustainedinternational effort to deliver future versions of localized products willbenefit handsomely from TM. The organization interested in a one-time, quick-and-dirty translation will enjoy far fewer benefits.• Although TM saves a lot of work, it als o involves a lot of work for vendors.Some vendors bill for it directly and conspicuously, while others bill for it under general engineering costs. On balance, though, its benefitsoutweigh its costs, and there is almost no point in trying to save moneyby instructing the vendor not to use TM tools.• The client must bear in mind that translation memory tools are notmachine translation tools. As described above, MT tries to calculatetranslations of new text using rules and existing translations, whereasTM accumulates segment-by-segment history and assists humantranslators. While hybrid TM-MT solutions are becoming more popular,the industry is still a long way from reducing translation to a pure matter of software and hardware.• The client must b ear in mind the concept of the segment. TM looks forand matches text in entire segments because this is the lowest level ofgranularity which the software can use. For this same reason,wordcounts are a function of words in segments, as described in Figure5.Clients who do not understand the concept of the segment ask a verycommon question: ―My company and product name, Crunchware,appear 900 times in the product, and I want them preserved as―Crunchware‖ in all languages. Do I have to pay for that?‖ The answer is ―Sometimes.‖ If ―Crunchware‖ occurs as a segment all by itself in the TM database – and it probably does – then at all occurrences of thatsame segment there is no work for the translator to do, and the clientwill likely receive a steep discount for that 100% matched segment inevery place that ―Crunchware‖ appears alone. However, if―Crunchware‖ appears in a completely new sentence with 44 otherwords – like this sentence, for instance – then the software will report a 45-word segment with no match in TM, and the vendor will likely charge for 45 words at the full rate per word.SummaryA properly internationalized product is a delight to localize, because it involves no wasted effort in handoff, cost estimation, scheduling, translation, rebuilding, testing, release or support. It meets the needs of users in other regions with no changes to its core functionality, no patches, no bug lists, and no excuses. Enlightened organizations manage their own internationalization (I18n), which keeps it out of the black box.The black box looks black mostly because localization (L10n) takes place outside of the client’s organization and involves tools and skills rarely found inside the organization. The black box is not so much product development as product transformation, in which a familiar, English-original product becomes a French/Korean/Russian/Hebrew/... copy. Translation memory (TM) tools are at the heart of the transformation, keeping costs as low as possible and accelerating the work of translators.Although the L10n process seems trivial to many technology clients, there really is a great deal more to it than simply translating words from one language to another. Honest.。

本地化翻译(Localization):DTP(Desktop Publishing桌面排版)工具简单介绍

本地化翻译(Localization):DTP(Desktop Publishing桌面排版)工具简单介绍

专注翻译 恪守精准
图形处理工具(续)
Coreldraw (.cdr):是目前使用普遍的矢量图形绘 制及图像处理软件之一,该软件集图形绘制、平面 设计、网页制作、图像处理功能于一体。 FreeHand (.fh8, .fh9, .fh10, .fh11):是一款非常强 大平面向量绘图软件,同時支持 Mac OS 及 MS Windows 平台,最早由 Altsys 公司开发,是 Adobe Illustrator 的强劲竞争对手,但几经周折, Adobe 公司通过收购 Macromedia 将其纳入囊中 ,并几乎停止了此软件的更新。
专注翻译 恪守精准
音频处理工具பைடு நூலகம்
音频处理工具: Adobe Audition 等
Adobe Audition (.wav, .mp3):是一个专业音频编辑 和多轨道混音环境(它的前身是大名鼎鼎的 CoolEdit )。 Adobe Audition 专为在广播和后期制作方面工作 的音频和视频专业人员设计,可提供先进的音频混合、 编辑、控制和效果处理功能。最多混合 128 个声道, 可编辑单个音频文件,创建回路并可使用 45 种以上的 数字信号处理效果 — Audition 是一个完善的多声道录 音室,可提供灵活的工作流程并且使用简便。无论要录 制音乐、无线电广播,还是为录像配音,Audition 中 的恰到好处的工具均可为您提供充足动力,以创造可能 的最高质量的丰富、细微音效。
专注翻译 恪守精准
文字处理工具(续)
InDesign (indd, inx):其定位是面向创意设计领 域的专业设计、排版与跨媒体编辑工具。具有强大 的页面排版功能、灵活方便的表格功能、丰富的图 形图像处理能力,可与 Adobe 系列产品中的其他 产品紧密集成。其特点是功能强大、应用广泛、兼 容性好( InDesign 软件可直接打开 PageMaker 6.0-7.0 版本的文件及 QuarkXPress 3.3-4.x 版本 的文件,对于因缺少相应语言版本而无法进行处理 的 PageMaker 或 QuarkXPress 项目,如果客户 接受,便可转用 InDesign 来完成)。

翻译行业的本地化翻译总结

翻译行业的本地化翻译总结
建立和完善本地化翻译行业的规范和标准,提高翻译质量和效率, 推动行业的健康发展。
创新发展
鼓励本地化翻译技术的创新和应用,推动行业的数字化转型和升级 ,实现可持续发展。
05
案例分享
案例一:游戏行业的本地化翻译
总结词
游戏行业本地化翻译需注重文化差异和玩家体验。
详细描述
游戏行业本地化翻译不仅仅是简单的语言转换,还需要考虑到不同地区玩家的文化背景和游戏习惯。在翻译过程 中,需要注重游戏内容的准确传达,避免因文化差异引起的误解或不良体验。同时,还需关注游戏界面的交互性 和易用性,确保玩家在游戏过程中能够顺利理解和操作。
THANKS
感谢观看
专业术语准确
对于涉及特定领域的文本,确保使用准确、专业的术语,并进行适 当的注释或解释。
技术问题的解决
翻译工具使用
熟练掌握各种翻译工具和软件,以提高翻译效率和准确性。
术语管理
建立和维护翻译术语库,以确保译文中术语的一致性和准确性。
格式与排版
根据目标市场的排版要求,对译文进行适当的格式调整和排版, 以确保译文的易读性和美观度。
确保译文准确传达原文意 思,不出现错译或漏译。
语言流畅
译文需符合目标语言的表 达习惯,流畅自然。
后期处理与发布
排版调整
根据目标市场的排版规范 ,调整译文格式。
适应性测试
在小范围内测试译文,确 保在不同设备和浏览器上 显示正常。
多语种发布
将译文发布到多个语种平 台,扩大覆盖范围。
质量保证与反馈
质量标准制定
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网络游戏本地化翻译研究——以《英雄联盟》为例

网络游戏本地化翻译研究——以《英雄联盟》为例

网络游戏本地化翻译研究——以《英雄联盟》为例网络游戏本地化翻译研究——以《英雄联盟》为例引言随着互联网的普及和发展,网络游戏逐渐成为人们娱乐生活的一部分。

而要让世界各地的玩家都能沉浸其中,感受游戏的乐趣,游戏的本地化翻译显得尤为重要。

本文将以《英雄联盟》为例,探讨网络游戏本地化翻译的研究。

一、网络游戏本地化翻译的背景和意义网络游戏的本地化翻译是将原始游戏中的文本、界面、任务等元素,经过翻译和调整,使其适应不同地区、不同文化背景的玩家。

本地化翻译的目的在于提升游戏的用户体验,增加玩家的参与度和黏性。

本地化翻译具有重大意义。

首先,它打破了地域和语言的限制,让不同语言的人们能够通过游戏进行交流和互动,促进了全球文化的融合。

其次,本地化翻译能让玩家更好地理解游戏内容,增加游戏的可玩性和深入度。

最后,对于游戏开发商来说,本地化翻译有助于拓展市场,提升销售额。

二、《英雄联盟》的本地化翻译实践《英雄联盟》是一款在全球范围内拥有众多玩家的网络游戏,自上线以来就展现出了强大的本地化翻译实践。

以下是该游戏在翻译方面的一些实践探索:1. 文本翻译《英雄联盟》的文本翻译是最基础的部分,同时也是最为重要的。

游戏中的对话、任务描述、技能介绍等都需要被翻译成玩家所使用的语言,以便他们更好地理解游戏规则和操作要点。

在进行文本翻译时,开发商要充分考虑不同语言和文化之间的差异,将游戏内容传达给玩家,同时保留游戏的风格和特色。

2. 界面本地化除了文本的翻译外,《英雄联盟》还进行了界面本地化的工作,包括游戏菜单、设置选项、操作界面等。

这样做可以帮助玩家更好地理解和使用游戏,在不同语言环境下提供更好的用户体验。

3. 主题和情感的传达游戏本地化不仅仅是简单的翻译,它还要传达游戏设计者所想要表达的主题和情感。

开发商通过对剧情、角色、配音等方面的本地化处理,使得玩家在不同地区和文化背景下都能感受到游戏的核心理念和情感体验。

三、网络游戏本地化翻译的挑战与对策在进行网络游戏本地化翻译时,开发商面临着一些挑战。

localization翻译

localization翻译

localization翻译
Localization(本地化)是指将产品、服务或文化适应特定地区或语言的过程。

在计算机领域,本地化通常涉及将软件、网站或电子产品的用户界面、功能和内容适应不同的语言、地区或文化。

本地化的过程包括多个方面,包括:
1. 翻译:将用户界面、文档和内容翻译成目标语言。

2. 适应:根据目标地区或文化的规范和习惯,对产品或服务进行修改和调整。

3. 测试:确保本地化后的产品或服务在不同操作系统、设备和浏览器上正常运行,并且没有出现任何错误或缺陷。

4. 发布:将产品或服务发布到目标市场或平台。

本地化对于在全球范围内推广和销售产品或服务非常重要。

由于不同地区和文化之间存在语言、习俗、法规和市场差异,因此需要进行本地化才能确保产品或服务在当地市场上的成功。

此外,本地化还可以提高产品或服务的的质量和可用性。

通过适应当地市场和用户需求,可以更好地满足用户的需求,提高用户体验和用户满意度。

总之,本地化是一项重要的任务,对于在全球范围内推广和销售产品或服务以及提高产品质量和用户体验至关重要。

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本地化翻译
什么是本地化翻译?
本地化翻译通俗地讲就是指对外埠(除本地以为的城镇,现在更多指外国)引进的事物进行改造,使之满足特定客户群并与特定区域的文化背景相吻合。

目的是克服产品本身的文化障碍,从而吸引更多的本地用户。

本地化翻译的特点:
1. 信息全面,表达准确,语气流畅,逻辑通顺,要符合本地读者的阅读习惯。

帮助客户打破语言障碍,翻译出符合客户要求并符合当地读者的阅读习惯的译文。

2.要求句子结构完整、严谨,多用陈述句,少有感情色彩,传达信息精确性高。

并且每种语言的翻译,都需要了解本地的用语习惯,译文用词及语气避免有对性别、年龄、种族、职业、宗教信仰、政治信仰、政党、国籍、地域、贫富以及身体机能障碍者的歧视。

3.根据原作者在原文中表达出来的中心思想将译文不口语化,传达出原文要表达的感情,而表达方式又符合韩语的习惯。

以上大概地了解了一下本地化翻译。

时至今日,全球化经济发展愈渐加强,与外国企业之间的交流更偏向于本地化翻译,希望这篇文章可以帮助到各位翻译人员。

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