June 15, 2015
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.
Read MoreJuly 7, 2014
Mohammad Shihadah is the founder of AppTek, a US-based firm that has been developing human language technologies for the last 24 years. In an exclusive interview with Vijaya Cherian, Shihadah talks about how this technology will add value to the television business and why Middle East broadcasters will benefit from it.
Read MoreJuly 2, 2014
With the government mandate for adding closed captions to all video content, whether delivered on television or online now past, TV stations and video distributors have been working hard to comply. The rules apply to both HD and SD TV shows, films, commercials, live news broadcasts, and Video on Demand (VOD) libraries.
Read MoreFebruary 4, 2014
For a limited time, users may download the newly released Omnifluent™ Mobile Spanish/English and Omnifluent™ Mobile Arabic/English at no cost.
Read MoreJanuary 26, 2014
Applications Technology (AppTek) announced that it provides the MBC Group news channel with a state-of-the-art subtitling service that for the first time, allows English-speaking audiences to follow an Arabic-language TV news channel designed for audiences in the Middle East.
Read MoreNovember 5, 2013
Applications Technology LLC (“AppTek”) through it’s founders Mohammad Shihadah and Mudar Yaghi, today announced that it has acquired the Omnifluent Human Language Technology software and related business from Leidos , Inc..
Read MoreJune 22, 2009
AppTek announces the availability of its enhanced automated speech recognition (ASR) engine for Farsi. The enhanced ASR engine also processes several other key languages such as Arabic and Spanish, and is compatible for use with machine translation, providing a complete solution for customers without integration costs or complex development.
Read MoreApril 21, 2009
AppTek announces announced its participation with Menacast as the chosen platform for its large-scale media monitoring system. AppTek’s MediaSphere was selected during the initial architecture phase of this ambitious endeavor for a multi-channel simultaneous monitoring solution and deployed to monitor an initial number of live channels.
Read MoreApril 13, 2009
AppTek announces improvements to its media monitoring solution, MediaSphereTM. A software solution providing multilingual transcripts of various television and radio stations for many domestic and international news bureaus as well as transcripts for telephony, MediaSphere now incorporates the company’s hybrid machine translation (HMT) system as well as increased coverage of dialects for automated speech recognition (ASR) and new engines for non- broadcast sources.
Read MoreMarch 24, 2009
AppTek, a leader in human language technology (HLT), today released the results of its joint contest with the Olin College of Engineering to explore the use of AppTek’s core technology — which includes a set of tools for language identification, translation, and text-to-speech services in a variety of languages — to develop a compelling prototype Android application for the Google G1 Phone.
Read MoreAppTek.ai is a global leader in artificial intelligence (AI) and machine learning (ML) technologies for automatic speech recognition (ASR), neural machine translation (NMT), natural language processing/understanding (NLP/U), large language models (LLMs) and text-to-speech (TTS) technologies. The AppTek platform delivers industry-leading solutions for organizations across a breadth of global markets such as media and entertainment, call centers, government, enterprise business, and more. Built by scientists and research engineers who are recognized among the best in the world, AppTek’s solutions cover a wide array of languages/ dialects, channels, domains and demographics.
