Language Weaver Chief Scientist and Colleagues Report on Improved, Automated Method of Name Translation
The discovery of a highly effective method of translating names using Statistical Machine Translation (SMT) was announced today by Language Weaver.
LANGUAGE WEAVER FOUNDER, VP, & CHIEF SCIENTIST KEVIN KNIGHT |
The findings are included in a research paper co-written by Language Weaver Founder, Vice-President and Chief Scientist Kevin Knight (at right), professor at the University Of Southern California Department Of Computer Science and a senior research scientist and fellow at the Information Science Institute.
In the following podcast, Kevin talks about why names are typically difficult to translate for both humans and computers alike, and why the new method is able to accurately and reliably identify whether a word is a name, based on how it is used in the context of a sentence or phrase.
