machine translation post editing

For many LSPs, generic engines will be sufficient.We suggest researching popular engines and selecting three or four that work with the language pairs you need.The quality of an engine varies by language pair, so you will most likely need to use different engines for different projects. When this is the situation, in most cases, a statistical engine will be your best option.The option to use an engine that can be trained either interactively or in batches should be explored. This poses an issue for language serviceMichael Klinger has worked in the globalization industry for over twenty-five years. 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 …
Additionally, we use the very best NMT software available Post-editing consists of carefully reviewing and correcting the output of machine translation engines.Copyright © 2019 • SpanSource S.R.L. 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. Only the stuff we’re sure you’ll like.Transitioning to a post-editing machine translation business model Post-editing consists of carefully reviewing and correcting the output of machine translation engines. 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. With the appropriate process in place, machine translation can be used to respond to most translation requirements.As we see in other industries that are being disrupted by technology, jobs are not necessarily being lost as much as they are evolving.Technology is creating new positions and requiring new skill sets. From translator and interpreter to founder of the software localization project and bilingual staffing services at Comsys (now Experis), Michael hasWhether you’re brand new or looking to grow your existing business, the way to thrive in the language services industry is to have a solid answer to this question: Who is yourFind them from among 250,000 individual linguists and LSPs listed
• All Rights ReservedAt SpanSource we have responded to the growing requests of MT solutions by developing a team of experienced linguists as post-editors to review, correct and perfect MT content.We can offer light post-editing when translations are required for informational purposes, or heavy post-editing when human-quality translation is required, generally with publication in mind.Post-editing directly addresses concerns over quality and mistakes that can result from machine-only translation. As someone who has been in the localization and translation industry for several decades, I can tell you that this resistance is not new.Of course, machine translation is not a new concept. In our industry, translators are moving into the role of post editors, correcting the output of machine translations as opposed to completing translations from scratch.Translators are not the only ones impacted by machine translation. 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. 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. AUTOMATIC POST-EDITING TASK. You need to be prepared to explain the advantages of the technology, as well as correct their expectations.Some customers may assume that a machine translation will be perfect and won’t understand the added expense of post-editing, where other customers will assume that machine translation is simply another added cost that will affect the quality of your results.Machine translation can create new product lines that were not previously cost-effective, such as translating comments on blog posts. Most MT output requires post-translation editing.There are conflicting opinions regarding the efficiency of post-editing. It first appeared in the 1950s; however, nowadays it has become increasingly popular, due to the rise of translation demand. 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. Some tools lock you in into one or two engines that may not be ideal for your projects or language pairs.We also recommend using CAT tools that are optimized for post-editing and combine MT, TM, terminology management, and strong collaboration features to maximize post-editing and team productivity. NMT uses an artificial neural network to predict word sequences based off of a text corpora.

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