PangeaMT is a private company of artificial intelligence, deep learning, machine learning and machine translation that offers consulting, development, customization and system integration.

PangeaMT is a company derived from Pangeanic translation company. Many of its clients are Japanese. In this country, translations must be accurate, fast and highly automated. Also, Pangeanic has received several awards and large contracts for digital infrastructure in the EU. It also works for U.S. government agencies.

Pangeanic's experience as translation professionals set the stage for solid research and development of automatic translation programs, creating hundreds of statistical and neural automatic translation engines, fully customized to the terminology and expressions of several client companies.


After that, and naturally, the company became an automatic translation provider, using data acquisition techniques. The commercial approach was among cognitive industries in which machine translation technology can become key to make a difference and create new business flows.

Who benefits from machine translation approach?

Corporations within the Fintech, Insurtech and Legaltec fields, content writers (faster publishing), e-commerce sites, translation companies and companies that require quick access to translated content in a private environment.

Even if a company translates only 100,000 words a year, it is an ideal candidate to benefit from neuronal machine translation technology. PangeaMT can handle the hard work of mining and data collection in certain languages. It even leverages and improves existing translation memories and adds more content.

PangeaMT is based in Valencia, Spain. His motto is a brief quote from Virgil: the good is only achieved with the best.

PangeaMT is a separate division of Pangeanic. It is based on the best machine translation technology and statistical and neural hybridization techniques that Pangeanic has tested and applied for its clients.

Its goal is to develop and transfer artificial intelligence and neuronal machine translation technology to institutions, cognitive companies, corporations and translation professionals. Whatever a client's language processing needs are, PangeaMT creates a solution to incorporate and improve language processes in its business. It gives its clients the power to make natural language processing work for them by extracting knowledge, classifying domain documentation and creating structured data, in any language.

Guaranteed quality with Pangeanic

Quality is a differentiator based on many steps in the process and in the verification procedures incorporated. Pangeanic applies the strictest quality assurance and control procedures at every step of its daily work.

The agency has been independently audited since 2005 and it has yearly renovated its certifications since then. Some of its staff worked in the quality assurance departments in Britain in the 1990s and for Ford Motor Company and Rolls Royce Industrial and Marine.

All agency staff members, both internal and external, are committed to the Pangeanic Quality Principle. This also applies to all their services related to technology and the human relationship that they always try to establish with external staff and customers, who in fact have the final word on what they do. They are always open to suggestions for improvement of their customers, as they are the key to the development of products and services.

Quality metrics

The agency works with its own standard that was developed with the objective of having a consistent standard that is useful for objectively measuring the quality of the translation of the service information, regardless of the source language, regardless of the target language, regardless of how the translation is performed, that is, human translation or machine translation.

The method is based on a point-based system. The fewer points a translation gets, the higher the quality of the translation.
The errors are divided into 7 categories and each category is described comprehensively: incorrect term, incorrect meaning, omission, structural error, spelling error, punctuation error and miscellaneous error.

Each category is weighted. Some error categories are considered to affect the final quality more than others. For example, a spelling error can get fewer points than errors found in the wrong term category.

Once an error is identified as belonging to a category, the human reviewer decides whether the error is serious or minor. A serious error is weighted to obtain more points than a minor error.

The metric is easy to follow and implement. It is an excellent step to create an objective measurement of linguistic quality. In addition, it is highly customizable: if an editor believes that in a particular application a spelling error may be more damaging to a translated version than the use of an incorrect term, it can easily change the weighting.

Finally, the results of the metrics can be used to compare linguistic standards and serve as a basis for discussion with clients or translation groups.

If your organization plans to use this standard, it is necessary to keep in mind that the metric is specifically made for the automotive services information industry.

Consequently, it may not be the most appropriate method to evaluate translation where style and / or voice are of the utmost importance. Also, the results of reviews should be collected manually and comparisons can be difficult if you work directly from spreadsheets.