+971 4 269 9996

What is Example-Based Machine Translation?

What is Example-Based Machine Translation?

What is Example-Based Machine Translation?

Machine translation is all about providing a computer or a machine with the task of transferring from one natural language to another. You can see how this is done in many different ways. Among those different ways, Example-based machine translation has received a lot of positive attention in the recent past.

It is possible for you to discover many different variations in machine translations. Out of those variations, Example-based machine translation has received a lot of attention.

What is Example-based machine translation?

Example-based machine translation is the process where translation takes place by analogy. Here, the system responsible for translations is provided with a set of sentences within the source language. Then the corresponding translations in the target language are also provided to the system. They work as examples for translations. Along with that, the system will be able to keep an eye on the examples and proceed with getting translation work done at the end of the day. This is an effective method of translating text from one language to another. Hence, you are strongly encouraged to pay attention to it.

You can find numerous sub-variations in Example-based machine translation as well. Translation memory is one of the most prominent forms of Example-based machine translation available. This form of translation is available to you commercially.

When it comes to a translation memory, you will be able to see how the user keeps on translating text. The translated content will be added to the database by the same user. When the system comes across the same sentence during the translation process, an example loaded in the database will be used as a reference to move forward with the translation process. That’s the main reason why we say that Example-based machine translation is effective. It is translating from one sentence to another instead of the word to word. Therefore, the chances of translated content ending up with mistakes are relatively high.

How does Example-based machine translation work?

Now you have a basic understanding of the functionality of Example-based machine translation. While keeping that in mind, let’s deep dive and see how Example-based machine translation works.

In most of the instances, Example-based machine translation takes place on the parse tree. Or else, it will look for the most similar sentence in the database and make modifications to the translation based on the differences that exist. Along with that, there is a possibility to translate the source sentences in an effective manner.

In order to proceed with Example-based machine translation, it is important to have a massive volume of translated content. In other words, the database should be loaded with numerous parallel bilingual texts. These texts have been translated from experts. The experts don’t just have language proficiency. They are experts in both languages as well. Hence, it is possible to make sure that the database used for Example-based machine translation is solid, and it can deliver high-quality results at all times. 

Example-based machine translation is a process that is being used to decode knowledge out of bilingual texts. Here, the knowledge doesn’t seem to have any overt formal representation. It is not linked with any encoding scheme as well. Instead, you will notice that the knowledge is encoded in a straightforward manner with text coupling. The machine used for translation will take a piece of text, match it with a similar piece of text available within the database, and proceed with the translation.

Final words

One of the key objectives of Example-based machine translation is to proceed with translation work based on the data provided as inputs to the system. Then there is a possibility to end up with quality results at the end of the day.

In other words, fragments of source, including phrases, words, and many other non-constituent chunks, are available. While using that, it is possible to come up with the best possible translated piece of content in the target language. In addition to that, there is a possibility to go ahead with a large scale translation based on the availability of information as well.

Along with improving technological developments such as artificial intelligence, we can see how the accuracy associated with Example-based machine translation is increasing along with time. Therefore, you can take a look at Example-based machine translation as a quick method to get content translated from one language to another.

This article first appeared on Harry Clark blog


Recent Articles about Translation  

What is a Translation Management System?
What is a Translation Management System?
Last Updated on March 10, 2021

If you are done with the translation process every time you visit a website, then the translation management system is for you. It is a software platform that is responsible for automating the translation process. 

There are a lot of languages that people speak around the globe, and you might know a few or only one of them. However, what if you know that you can understand them all with an automatic translation system? Well, it must be like a treat for many of us. It is the base behind the invention of translation management systems.  (more…)

Top Translation Quality Assurance Tools
Top Translation Quality Assurance Tools
Last Updated on March 3, 2021

Software products for translation quality assurance are tools that help with identifying regular missteps found in translated messages, utilizing formal attributes. 

With regards to translation work, there are many tools for interpreters to browse. The test isn’t the absence of software yet rather finding the best tool for our specific goals. Quite recently, we gathered top-notch of the best free tools for freelance interpreters; today, my focus is on translation quality and productivity.  (more…)

Best Translation Management Systems for Companies
Best Translation Management Systems for Companies
Last Updated on February 24, 2021

A translation management system resembles a riddle, every one of whose pieces satisfies a specific capacity. Together, they uphold and quicken the translation cycle. For instance, the project management module serves the arrangement of all clients who are associated with the interaction like project managers, language service suppliers, terminologists, and so forth.  (more…)

What is Segmentation in Translation?
What is Segmentation in Translation?
Last Updated on February 17, 2021

Segmentation in translation is the way toward separating a source text into more modest units for translation. These units are arranged by picking specific segmentation decisions that fill in as a base for making and editing translation recollections, as per a picked language pair. These standards comprise a progression in translation robotization as frameworks’ figure out how’ to remember them, and they are naturally applied during the translation work process.  (more…)

What are the Segmentation Rules in Translation?
What are the Segmentation Rules in Translation?
Last Updated on February 10, 2021

Segmentation in translation is the way toward separating a source text into more modest units for translation. These units are arranged by picking specific segmentation rules that fill in as a base for making and altering translation memory, as per a picked language pair. These rules comprise a headway in translation robotization as frameworks’ figure out how’ to remember them, and they are naturally applied during the translation work process.  (more…)

What is Translation Quality Assurance?
What is Translation Quality Assurance?
Last Updated on February 3, 2021

A poor translation can deplorably affect the acknowledgment of your product, and moreover, it can, without much of a stretch, become a shame to your image. Translation Quality Assurance is a thorough tool that checks for machine-detectable blunders while you translate in a translation management software.  (more…)

What is OCR?
What is OCR?
Last Updated on January 27, 2021

OCR (optical character recognition) is the utilization of technology to recognize printed or manually written content characters inside digital pictures of actual reports, for example, a filtered paper record. 

The fundamental cycle of OCR includes inspecting the content of a record and making an interpretation of the characters into code that can be utilized for information handling. OCR is at times additionally alluded to as text recognition. OCR frameworks are comprised of a mix of equipment and software that is utilized to change over actual reports into machine-readable content. Equipment, for example, an optical scanner or particular circuit board, is utilized to duplicate or read the text, while software commonly handles the high-level preparation. The software can likewise exploit artificial knowledge (AI) to execute further developed strategies for astute character recognition (ICR), like identifying dialects. (more…)

Get The Best Translation Price