PangeaMT is the first example of a language service provider creating a new revenue stream with data from TDA. The new division provides industry specific statistical machine translation (SMT) engines for automotive, consumer electronics, and industrial sectors. The service was launched at the recent TAUS User Conference with an offer to train engines for free for companies seriously looking into deploying open source MT with a TMX workflow.
KCSL followed up on TDA’s “Profit of sharing up to 50%” article, by undertaking a detailed study involving 15 translators to objectively review:
Quality of output is highlighted as the main barrier to greater adoption of machine translation. This study illustrates how training statistical machine translation (SMT) engines using domain specific data improves output quality. See also the results of the Cross Language pilot, which used human evaluation.
This test illustrates that by opening up access to even a relatively small amount of domain specific language data, TDA helps machine translation companies to improve output quality, start gaining knowledge about content in new sectors, and increases the chances of winning the trust of organizations in these sectors.
Quality of output is highlighted as the main barrier to greater adoption of machine translation. This study illustrates how training statistical machine translation (SMT) engines using domain specific data improves output quality. The data set used for this test is less 15% of that used in the Microsoft pilot project.
