(PRWEB) June 15, 2015
AppTek announces its participation at the upcoming SET Expo 2015, taking place in Sao Paulo, Brazil from August 23 – 27, where they will exhibit its latest and most in-demand media solutions. SET Expo is a global tradeshow for products and services in broadcast and new media areas and is the industry’s largest event in Latin America.
Among the highlights of AppTek’s booth will be the highly regarded Omnifluent Workbench, a comprehensive post-editing web portal that provides a fully automatic workflow for closed captioning and subtitling in multiple languages. The back-end includes AppTek's Automatic Speech Recognition engine and Machine Translation that generate automated high-quality transcriptions and translations segmented for easy and rapid post editing.
AppTek will also showcase its Live Captioning Appliance that delivers fully automated, same-language closed captioning and subtitling for live content with accuracy and speed that match or exceed manual human captioning.
For a demonstration of AppTek’s latest speech technology, please visit http://www.apptek.com or email info(at)apptek(dot)com for more information.
About Applications Technology (AppTek)
Applications Technology (AppTek) is a U.S. company specializing in human language technology, headquartered in McLean, Virginia. AppTek's primary focus is on automatic speech recognition (ASR) and its translation to making information accessible across different languages. AppTek’s solutions allow for multiple applications, such as web, search, e-commerce, media monitoring, closed captioning, subtitling and content localization. AppTek has built a comprehensive platform of human language technologies and products that provide coverage for many types of users and opportunities for multilingual solutions across government and commercial enterprises. AppTek’s integration of speech and text processing is unique in the industry and offers cross-leveraging of linguistic resources across numerous languages. AppTek's highly-skilled team of computational linguists and software engineers can customize these HLT engines and build them into existing solutions.