As nations convene at the United Nation’s Climate Change Conference (COP28) in UAE this month to reassess and recalibrate climate strategies, one crucial aspect that often hinders timely and informed decision-making is the accessibility of accurate information and across the diversity of languages needed for the myriad of countries participating in the decision-making process. Enter ClimateGPT, a groundbreaking project by AppTek, EQTYLab, and Erasmus AI, aimed at harnessing the power of Large Language Models (LLMs) to improve broader and faster global access to climate-specific intelligence ..read more

AppTek is proud to be named an honoree for the fifth year in a row at the 2023 Northern Virginia Technology Counsel Tech100 ..read more

The AppTek team is in Dublin Ireland this week for the 24th INTERSPEECH Conference. INTERSPEECH, as the world’s largest and most comprehensive conference on the science and technology of spoken language processing. The AppTek Science team will be participating across multiple tracks including oral and paper presentations as well as a Keynote Speech from AppTek's Ralf Schlüter ..read more

AppTek assisted in organizing a track on automatic subtitling at the International Conference in Spoken Language Translation and achieved exemplary performance with respect to controlling the formality level of its machine translation output ..read more

In celebration of International Women’s Day, it is important to acknowledge the ongoing struggle for gender equality and inclusivity in the technology sector. The digital world offers an unprecedented opportunity for the improvement of the lives of all historically marginalized groups, including women, but it can easily also threaten their well-being. With perpetuated discrimination in the tech sector and bias in automated systems, gender inequalities could be entrenched instead of eliminated. This is why it is even more crucial for women to participate in tech design and governance so that th ..read more

An interview with Alex Perez, AppTek's Lead Scientist for Neural Speech Synthesis, covering topics including the current state-of-the-art for text-to-speech technologies and the future of speech synthesis and automatic dubbing ..read more

An interview with Kelly Zhang, AppTek's VP of Data Services, on the subject of bias in AI and what AppTek is doing to mitigate it within its data and HLT models ..read more

One of the core arguments against the use of machine translation (MT) by translators, especially those working in creative fields, is the machine’s so-called ‘inability’ to handle the metaphorical use of language to evoke images and feelings. Another is the stifling of creativity on the part of the translators when asked to post-edit machine-translated text as opposed to creating a new version of an original that creates an equivalent effect to the audience in another target language. AppTek's Evgeny Matusov offers his thought on the subject when asked to contribute to a workshop on the topic ..read more

AppTek’s Director of Science, Prof. Dr. -Ing. Hermann Ney, will be retiring from his position as Professor of RWTH University where he headed the Human Language Technology and Pattern Recognition group, and we invite everyone to attend his retirement ceremony ..read more

Automatic dubbing is the latest hot research topic in AI-enabled language technologies. The high level of expertise and complexities involved in the dubbing process are legendary in media localization workflows, which have remained the same since dubbing was first used as a localization strategy in the 1930’s, right after the ‘talkies’ became the dominant film production method in the market. The pandemic spearheaded a lot of experimentation in the field, with dubbing workflows moving to the cloud and new software making its appearance for dubbing script writing and online recording ..read more