SYSTRAN Pure Neural MT™: first positive customer feedback! Applications available early 2017
Paris, France, December 20th, 2016 – SYSTRAN, the first global editor to launch a neural translation engine for companies, last October, is pleased to announce that the initial client feedback is positive and encouraging. The editor also announces an upcoming industrialization with this new revolutionary technology, with new applications on the way. Finally, SYSTRAN makes its technology available in Open Source, sharing with the community an unprecedented innovation.
A comprehensive evaluation process entrusted to Crosslang and the first positive feedback of beta tester clients
In order to provide the market with an independent analysis, SYSTRAN has entrusted Crosslang, a consulting company specializing in linguistic technologies, with the evaluation of the quality of its new PNMT™ engine.
The study is still underway but the initial results were unveiled at the SYSTRAN Community Day in Paris on December 12th: "The new PNMT™ technology offers unmatched translation quality and fluidity in the history of automatic translation. There are still areas of improvement on which R&D teams are already working. This technology will undoubtedly open up new perspectives for translators and contributors in a globalized world,” says Heidi Depraetere, founder of Crosslang.
At the same time, SYSTRAN launched a beta test program with a sample of clients, who gave the following feedback: "Usually with machine translation, there is a lot to correct, unless you have trained the engine very, very well.” says Lori Thicke, the CEO of Lexcelera. “That's our specialty, training good MT engines. But this time, the SYSTRAN PNMTTM engine was a completely untrained, generic engine. And still, the translation was amazing. I needed to make corrections, of course. But I was surprised how few errors there were. Mostly the SYSTRAN PNMTTM engine understood what I wanted to say, and translated it very fluidly. For the most part, the terminology was spot on, and the sentences, well, they sounded human. I think I have seen the future. And it's PNMTTM.”
Dominique Auzias, founder of Petit Futé declares: “PNMTTM provided by SYSTRAN is a huge step for human communication in general, and for tourism in particular. It brings a magnificent field of opportunities, new experiences, an exciting trip in languages! Augmented Tourist 2.0 is ‘ReadyToGo’.”
SYSTRAN makes this revolutionary technology available in Open Source
SYSTRAN has decided to actively contribute to Open Source projects for this new technology. In doing so, the software editor is looking to open up to a wide ecosystem of users, researchers and developers. The aim is to boost the market, ensure optimum quality and provide the state of art in academic research. A team of researchers will be dedicated to contributing to this “OpenNMT” community, which will be launched in the next few weeks by Harvard NLP.
A number of growing languages and available products, from the first quarter of 2017
Following the release of the first version mid-October, the PNMT™ engine covers 15 new language pairs for a total of more than 45 language pairs. These new languages include French <> Chinese, English <> Russian, English <> Hungarian, English <> Hebrew, among others. Improvements have also been made on the treatment of unknown words and the handling of named entities (names of people, places, dates, organisms…) and long sentences. During the first quarter of 2017, customers will be able to benefit from the full power of this new engine in their SYSTRAN Enterprise Server solution with the functionalities that make its success today (processing many file formats, customization with user dictionaries and translation memories, integration into Office tools…). The editor's R&D teams also aim to make this technology, although greedy in computing power, available on a simple corporate server.
With specialization, the potential of neuronal translation is tenfold
Adaptation of translation to a specific domain such as legal, marketing, technical, pharmaceutical, is an absolute necessity for global companies and organizations. Offering professionals specialized translation solutions in their trade terminology has been part of SYSTRAN's DNA for many years. With its new PNMT™ engine, SYSTRAN can optimize neural networks in a post-training process called specialization. This method significantly improves the quality of translation in record time.
A range of new applications for automatic translation on the horizon
Jean Senellart, president of SYSTRAN concludes: “Neural translation undeniably brings a clear improvement in the quality of translation and it is only the beginning. What, in my view, is even more exciting is the range of new applications that this technology will offer in the near future. Typically, it is already possible to introduce instant interaction between human translators and neural translation with predictive translation interfaces. They provide relevant proposals as corrections are made by the translator.”
The field of possible applications is endless. SYSTRAN teams work hard to expand its offer of client applications, including a translation checker, the creation of multilingual documentation, the synthesis of documents in multiple languages, a language learning assistant and multilingual video conferences.
To help organizations enhance multilingual communication and increase productivity, SYSTRAN delivers specialized language solutions for global collaboration, search, eDiscovery, content management, customer support, e-commerce and localization projects.
With the ability to facilitate communication in 140+ language combinations with highly secured and custom-made solutions, SYSTRAN is the leading choice of corporates, defense and security organizations, and language service providers.
Since its early beginnings, SYSTRAN has been pioneering advances in Machine Translation and Natural Language Processing and delivers today a new generation of engines leveraging the latest technological innovations from Artificial Neural Networks and Deep Learning models.
Marketing & Communications Director, SYSTRAN
Phone: +33 (0)1 44 82 49 00
Email: [email protected]