All You Need to Know About Machine Translators

It wouldn’t be wrong to say that the world is growing smaller every day. Today’s world has enabled medium-sized companies do business with partners from other parts of the globe. Translation software is a boon for business entities to spread their wings, removing any language barriers. Check out data science courses in Bangalore to know more.

Machine translation and human translation are the two possible means of translation. A human translation, such as Translate shark, has an upper hand over machine translation in accuracy. Machine translation is useful and well-known for its cost-effective and limited time consumption features.

Translation is not a word-for-word substitution; rather it interprets and analyzes textual elements and the influence of one word over the other. The language from which content is translated is called the source language, and the language it needs to be translated into is the target language. The knowledge and the expertise in the source and the target languages, especially the grammar, semantics, and syntax are essential for accurate translation.3

Some of the best translation software available automatically detects the language you’re working with, and allows translating to the available languages in the software. The number of languages available and its user-friendly interface shouldn’t be overlooked while opting for the translation software. Most translation software have the ability to translate documents, such as Word, Excel, and PowerPoint Presentation to your desired language, provided they are available in the software.

3 main types of machine translation

  • Rule-based machine translation

These systems use large collections of manually developed rules by human experts, mapping the source language to the target language. The human factor helps a great deal to deliver reasonably good automated translations.  But it’s a costly affair, and usually time-consuming due to a significant amount of manual labor.  Due to the addition and updating of rules, there’s a potential of bringing about ambiguity and translation degradation.

  • Statistical machine translation

Computer algorithms are used in this system to churn out translations that are statistically better from a million other permutations. Words and phrases automatically learned from bilingual parallel sentences are used for building statistical models. The machine learning capabilities of this model provide a rapid turnaround time, and low-cost power processing for its construction and operation.  “Data-dilution effect” is its major drawback due to the lack of appropriate data to train these systems.

  • Hybrid machine translation

It’s the combination of rule-based machine translators and statistical machine translators. The time-to-market cap of other machine translation is sorted out in hybrid machine translation. This could cost you big due to the complexity of managing side-by-side systems.

The most commonly used machine translators

Google translate is widely used by many because of its offline features. However, it’s advisable that you don’t go with the literate translation, since the meaning might be altered and not in context. Bing translator is a Microsoft product embedded in Windows phone. It supports a handful of languages, automatic detection of languages, and is used to translate a web page and uploaded documents. The software enables you to rate it depending on the accuracy of the translation.

WordLense was recently acquired by Google. It shows the translated text when you hold your device to an unfamiliar language text. Though it’s not the perfect tool, it comes in handy to translate street signs, menus, and other printed material to have a better understanding. It FREE! Yes, you heard it right! Just about anybody can download it for Andriod, iOS, and Google Glass.

The battle between man and machine  

Machine translation is being upgraded regularly to meet the standards of human translation. But human translations win hands down.

Human translation goes a long way before computers were invented. Even during Caesar’s, people with a good command over foreign languages translated the king’s orders to other languages. Though machine translation is constantly being updated every day, they’re no match for human translation. Machine translation is directed by strict rules, whereas, human translators use objective judgment and professional expertise. Translate shark is one among many with a qualified team of language experts to cater to your specific translation needs. Apply for data science course to learn more.