TAO in integration with other translation technologies

[Rafirifat3367]

As we have said before, the translation sector is advancing day by day. CAT has evolved a lot in recent decades and has even been integrated with other translation technologies such as machine translation engines, which are already a reality and are undoubtedly also on the horizon for those looking to the future of translation technology.

Some of the TAO tools are as follows:

SDL Trados – one of the most popular and widely used paid CAT tools among professional translators.
OmegaT – one of the free translation tools, with open source software that allows translators to work more effectively. It has compatibility with the vast majority of CAT tools and formats.

MemoQ – a translation software designed by freelancers. It offers many features that allow you to reuse previous translations, which helps improve quality. Widely used in localization.
Matecat : free tool, mainly focused on providing users it directors managers mailing lists with access to machine translation databases to improve the speed of work.
guide to technology applied to translation

Translation Management Systems (TMS)
Translation management systems are software platforms designed to streamline the process of managing large-scale translation projects . They work by creating workflows that go from the start to the end of the project, reducing and optimizing human intervention . Their goal is clear: to streamline and systematize processes. In this way, the project manager can plan, assign tasks, and manage projects in a more organized and organic way .  

Advantages of using a TMS
As we have already mentioned, using a TMS facilitates, streamlines and optimizes project management processes. Each TMS can offer different solutions, depending on the characteristics of the company; however, in general, these are the functionalities incorporated by the TMS most valued by most companies due to their many advantages:

Multilingual platform.
General control panel where the status of the project can be monitored.
Assigning roles to those responsible for each step.
Option to import content and export once it has been translated.
Integrated TAO tool functionalities.
Ability to integrate machine translation.
Integrations of the main translation technology tools
Integrating all these tools would not be possible without connectors, also known as Application Programming Interfaces (APIs). These facilitate  connectivity between existing systems and new content management system  (CMS) tools.

In short, this is an  all-in-one  technology that integrates everything and enables communication between different translation tools and their connection to content platforms.

Machine Translation (MT) tools
MT tools present software based on an automated translation system without human intervention. The difference with CAT tools is that this system can produce a translation on its own, without using a human translator. Within machine translation we find three types of systems :

Rule Based Machine (RBMT)
It refers to rule-based machine translation, a mechanism that translates words and sentences based on pre-established rules.

Currently, among the most widely used translation technologies, RBMT arouses much less interest, since this system requires the use of grammars of the source and target languages, bilingual dictionaries and rules for transfer between languages, which implies a greater investment of time and resources.

Statistical Machine Translation (SMT)
This is statistical machine translation, a system that translates based on an analysis of previously entered bilingual corpora.

This machine translation model consists of three main components: 

The language model:  responsible for the fluency of the translation and is responsible for checking the probability that the translation is correct in the target language based on a monolingual corpus.

The translation model:  establishes a correspondence between the source and target languages. During the training of the translation engine, this model is responsible for building a corpus of correspondence at the sentence level between the two languages.
The decoding model:  searches among the multiple possible translations for the most probable one for each specific case, based on previous language and translation models.

Neural Machine Translation ( NMT)
 Neural  Machine  Translation  ( NMT ) is a system that translates based on what it has learned previously and is able to predict what is to come. These systems work with artificial intelligence and are capable of imitating translation processes of complete sentences and even paragraphs. 

Although machine translation has been a revolutionary and innovative change for the sector, a machine translation tool that does not require human intervention in any case has not yet been achieved. Currently, the process of reviewing, correcting, improving and perfecting a text translated by a machine translation tool,  post -editing ,  is essential in most cases.

As we said before, depending on the type of text you want to translate and the result you want to achieve,  AI translation  may not be enough. When it comes to press releases, marketing campaigns, comprehensive product descriptions, or even internal information updates, you need the sensitivity that, for the moment, only a human translator can provide.

Considering all the  language service provider options  currently available on the market, we believe that the key lies in choosing a  translation company  that is well versed in translation technologies , has experience in  your sector and can guarantee delivery within the agreed time.

Some of the most used TA tools are DeepL Translate, Google Translate or the Microsoft Bing translator, among others.

We hope you found this article interesting. If you want to know more about this topic, we invite you to visit our  blog  or  contact us  for more information.