Lionbridge is set on bringing the idea of omnichannel and “omnilingual” conversations into the Intelligent Assistants domain.
Machine Translation
Facebook Acquisition to Socialize Speech-to-Speech Translation
As part of its successful efforts to build major mobile mojo, Facebook is now poised to add “speech-to-speech” translation to its repertoire.
Microsoft’s Head of Research Showcases Speech-to-Speech Translation
Microsoft’s chief research officer Rick Rashid showcased real time speech-to-speech translation (English to Chinese) at Microsoft Research Asia’s 21st Century Computing event in early November 2012.
Mark Cuban Invests in Linguasys
Mark Cuban is taking ownership of “a significant position” in Machine Translation and Text Analytics specialist LinguaSys.
No Real Answer to why Google is “Deprecating” its Translation API
Claiming “substantial economic burden caused by extensive abuse,” Google has officially “deprecated” its Translate API.
SAIC Buys AppTek’s Assets; To Focus on Machine Translation for Gov’t Agencies
SAIC (Science Applications International Corporation) has purchased the assets of AppTek Partners, LLC; Applications Technology, Inc. and Media Mind for an undisclosed sum.
SnapTranslate App for iPhone: Snap a Picture, Hear the Translation
We just received a press release from speech-processing specialist Loquendo to draw our attention to an iPhone application from PONS GmbH, a Stuttgart-based publisher of translation software and dictionaries.
Linguasys Packages Machine Translation for “Mobile Chat Rooms” on Android-based Phones
GigaOm’s Mobilize Conference is certainly the epicenter of mobile services today, but this press release out of Boca Raton caught our attention.
Machine Translation Making its Presence Known
In recent months, we’ve seen the community of companies offering MT taking significant steps forward. Perhaps lured by market assessments that valued global spending on “language translation and education services” at $12 billion in 2008. Realistically, that may represent a market peak, as relatively inexpensive machine translation solutions gain acceptance in a growing number of use cases where they can easily replace more expensive “human translators”.