Machine translation vs transliteration12/29/2023 ![]() ![]() It provides instant machine translations within documents and other software tools. Predictably integrated with Office and other Microsoft products, Microsoft Translator is another popular cloud-based neural engine. Surprisingly, it’s said to be more accurate than Google Translate in certain languages, like Chinese. Amazon TranslateĪlso neural-based, Amazon Translate works closely with Amazon Web Services (AWS). This, combined with a wide range of languages and integrations make it the leading translation engine, at least in Europe and the US. Google Translate was the pioneer in neural language processing. Google translate is probably the most popular machine translation provider (engine) out there but there are many more and they all have their own technology and algorithms. Simple, fast, high-quality AI translation of any file format - try it free! Translate a file Machine translation providers So, the winning formula seems to be combining the two: machine translation first, then post-editing by a human linguist. This is why, in most cases, human language professionals are tasked with MT post-editing to make sure the result sounds natural and is accurately localized for target audiences. ![]() Machine translation software, though massively helpful in improving translators’ productivity as well as translating large volumes of texts, does not always meet the quality standards expected of translation services. For example, our post 7 Easily Applicable Predictions for B2B Digital Marketing in 2022 was localized from French using Smartcat technology that features machine translation.īut still, both human and machine translation are alive and kicking, and here to stay. Here’s why:Īnd what about the quality? With the right approach, neural machine translation can compete with humans. You can’t deny the fact that machine translation is becoming increasingly popular, not only with businesses of all kinds but also with language service providers. So why, with all these advancements, hasn’t machine translation replaced human translators yet? Human vs machine translation: the everlasting debate Companies use this method as a fail-safe way of delivering accuracy and assuring control, instead of relying on only one solution. Hybrid machine translation usually uses statistical and neural types at the same time.Neural machine translation learns to translate using a large network of resources such as databases, glossaries, and translation suggestions previously approved by translators.As a result, it can have some issues with language pairs where the phrasing is completely different. Statistical machine translation relies on analyzing enormous amounts of existing human translations to find the closest analogue of the target segment.Rules-based machine translation applies specific language rules and vocabularies, created by language experts in a similar way to how we apply grammar and syntax rules when creating texts in our native languages.There are four main machine translation methods: How does machine translation work?ĭifferent types of machine translation software use different mechanisms to find the best matches for source words and phrases to produce comprehensible text in the target language. Quite simple, isn’t it? However, the technology behind machine translation is complex. ![]() Using various algorithms, patterns, and large databases of existing translations, machine translation technology can quickly produce large quantities of translated texts without any human involvement at all. Machine or automated translation is the process whereby computer software takes an original (source) text, splits it into words and phrases (segments), and finds and replaces these with words and phrases in another language (target). In this article, we’ll define machine translation, dive into the mechanics behind it, and try to resolve the human vs machine controversy. Humans have been tinkering with the technology since 1940, improving processes incrementally over time. Machine translation is the use of computer technology to translate text from one language to another. Share: What is machine translation and how does it work? Need translations? Try Smartcat for free! ![]()
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