However, even with lower costs, not all clients are readily sold on the new process. Post-editing consists of carefully reviewing and correcting the output of machine translation engines. If two or more engines produce very similar results, go with the cheapest option.Because engines rapidly evolve, the engine that produces the best quality may change. Most MT output requires post-translation editing.There are conflicting opinions regarding the efficiency of post-editing. However, the majority of providers are moving to neural machine translation engines (NMT), which is widely considered the most advanced and fastest improving. There may also be slight variations based on topics; however, with the best-known engines, these variations are limited.Once you’ve narrowed your list down to your top two to three choices per language pair, take the output of 50 or so pages, and get feedback from your translation team.If one engine is noticeably better for the current project, then that’s the engine you should use.
Several post-editing courses exist from companies like This change in job requirements may not work for all translators; however, not all customers may be ready to move to a machine translation process either. Argument #3: MT engines are replacing translators. As the technological landscape of the translation industry evolves in line with the demand for rapid and low-cost translation, Machine Translation with post-editing (MTPE) has emerged as a viable localisation solution for many. on our supplier marketplace and hire them in minutes.Psst!
Machine Translation (MT) Post-Editing Instructions Updated : July 21, 2020 17:38 Created : June 08, 2020 10:47 The main objective of post-editing is to make the machine-translated output sound natural in the target language, understandable and grammatically correct, and to fully convey the meaning from the source text. Where translators are most-often charged per word, post-editing machine translated content may be billed via time spent, corrections made, or by a review of the quality level of the post-edited content.The discussion is ongoing about how translators should be paid for post-editing work. This shared task will examine automatic methods for correcting errors produced by machine translation (MT) systems. Its rising popularity now is due to recent advancements in the technology. Neural machine translation is a relatively new and But, the complexity of natural language is such that even NMT is not a technology that can be applied blindly across the board to all content and all languages. LSPs that do not adopt this quickly dominating technology will not be able to compete in this new market.In this article, we’ll look at the arguments against machine translation and how they are changing with new advancements in machine translation. Automatic Post-editing (APE) aims at improving MT output in black box scenarios, in which the MT system is used "as is" and cannot be modified. Newer neural machine engines are remarkably much better than rule-based engines that were cutting-edge twenty years ago.When someone argues that MT engines produce poor results, the first thing I ask is when they last tested machine translation.
In certain cases, they can improve the output and increase post-editing productivity — for example, when your source documents contain very specific terminology. How one factors the cost of a translation will change with machine translation. In addition, machine translation without post editing and a rigorous QA process might not be appropriate for documents in critical sectors like biotech, pharmaceuticals, and equipment where lives could be endangered. In other words, you may still have use for translators resistant to post-editing.The biggest benefit of machine translation to your customers will be reduced prices for your services. Having a process in place will prepare you for this fast-approaching future.There are two defined types of post-editing: light and full.Output quality should be negotiated with the client to decide whether additional editing is needed following post-editing.The biggest challenge to post-editing is the resistance to the process from translators. Is machine translation post-editing worth the effort? On the other hand, if the raw MT output is of good quality, then perhaps all that is needed is a light, not a full, post-edit to achieve publishable quality. These jobs essentially consist in fixing translation provided by an automated tool (Google Translate, Bing Translator, etc.) The reality is that machine translation is cheaper, faster, more secure, and increasingly better quality. Many believe it will decrease the quality of work and will weaken the industry by taking away jobs. Post-editing in education Good to know where MT comes from Some facts about history of MT PEMT vs. translation: Pros & cons MT technologies: Overview Degrees of Post-Editing A basic knowledge about the development of MT helps understand the importance of the … It is very similar to the discussion that happened twenty-five years ago when we had to devise new pricing structures based on using translation memory tools.Depending on the expectations of a given project, moving to an MT process may not change your quality assurance process.However, in some cases, a client may decide that an unedited MT output (at a much lower cost) is acceptable for lower priority content.As you edit your existing contracts or enter into contracts with new clients, these agreements will continue to be based on a combination of cost and necessary quality standards per project.If your clients use external reviewers, you will need to align with them around any changes in your quality standard agreements.Translation is an inherently subjective process which means, by default, the quality of translated content is subjective as well. Although I’ve found that the younger generation of trained translators has now been exposed to MT as part of their curriculum and more open to working as post-editors.Your current translators will need to be trained in the various types of post-editing (light and full). Machine Translation Post Editing (MTPE), also known as automated, automatic or instant translation, is essentially (as you may expect) a process according to which a translation is (initially at least) entirely carried out by a computer. The technology changes the pricing and language service capabilities which impacts clients, as well.
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