GTCOM-US has independently developed the world's leading multilingual neural network machine-translation platform based on the billions of pieces of good quality and quantity corpora data accumulated over the past decades years.

This platform has in turn facilitated reliable machine translation in 50 languages and 2,500 language pairs. Over 5 billon parallel texts and over 10 billon single language entries are included in this platform.

GTCOM-US possesses the genes for independent R&D of the machine translation engine to make sure the accuracy and efficiency is perfect by establishing Machine Translation Research Lab. GTCOM-US unites with about over 100 well-known universities, forms LBDA (Language Big Data Alliance) to promote the research and progress of language s technology research and appliances.

Members of Machine Translation Research Lab

Main members of LBDA (Language Big Data Alliance)

On the basis of such a huge corpora data and research ability, GTCOM-US has won the first place in many international competition, thus demonstrating its dominance in the field of machine translation. For Example, in the 14th International Workshop on Spoken Language Translation (IWSLT2017), GTCOM ranked first in 16 of 20 language pairs in the multilingual pair competition and in multiple fields.

As a mature technology capability, GTCOM-US’s Language Technology has been successfully applied to many intelligent hardware products such as LanguageBox(view) intelligent smart conference solution, JoveTrans(view) series intelligent simultaneous interpreting earphones and so on. At present, the machine translation engine responds to external service requests more than 100 million times a day, and has realized commercial, large-scale and scenario oriented vertical domain applications.

LanguageBox(view)

JoveTrans(view)

GTCOM is well respected for its universal translation platform, but the organization also provides machine-translation engine customization services for customers in vertical sectors according to their needs, using data from both sides of the customer's own client relationship. Customization is available in such areas as engineering, finance, healthcare and patents,etc.