MCLEAN, VA, January 13, 2021 – AppTek, a leader in Artificial Intelligence (AI), Machine Learning (ML), Automatic Speech Recognition (ASR), Neural Machine Translation (NMT), and Natural Language Understanding (NLU) technologies, announced today it has been listed as a Representative Vendor in the December 2020 Gartner Market Guide for AI-Enabled Translation Services¹, this report provides guidance when identifying and leveraging this emerging class of AI-enabled translation services to reduce costs and improve the availability of translation services. In many cases, these augment the activities of human translators.
“We are honored to be recognized as one of 13 representative vendors in the Gartner AI-Enabled Translation Services Market Guide”, said AppTek CEO Mudar Yaghi. “Our science team has excelled in developing the next generation of customizable and flexible neural machine translation technology that works in concert with our speech-to-text and text-to-speech technologies. We have the ability to deliver to our clients end-to-end enterprise-grade AI-enabled natural language solutions that can further fuel advancements in translation and localization workflows.”
Key findings according to the Gartner Market Guide include:
- Advances in artificial intelligence (AI) are enabling a broad range of new use cases, enabling translations that were previously not possible due to cost or delays.
- Many enterprises are not aware of the emerging AI-enabled translation services and their capabilities, and as a result are not achieving the savings and efficiencies these might offer.
- Current enterprises decisions and processes related to translation are often siloed and disconnected from a broader enterprise globalization and localization strategy.
The report further cites that “By 2025, 75% of the work of translators will shift from being focused on creating translations to reviewing and editing targeted sections that were machine translated.”
“The capabilities and performance of what we can extract from modern neural machine translation technologies has evolved considerably over the last few years”, said Yaghi. “Enterprises seeking to scale their globalization and localization offering must consider how to adopt the latest AI-enabled advancements into their respective workflows sooner rather than later.”
Recently Apptek announced its top ranking in multiple categories of the 17th annual International Workshop on Spoken Language Translation (IWSLT 2020). The company also achieved best-in-class performance ratings in measurements including Word Error Rate (WER) for ASR, and Bilingual Evaluation Understudy (BLEU) and Translation Error Rate (TER) scores for MT.
¹ Gartner, "Market Guide for AI-Enabled Translation Services," Bern Elliot, Anthony Mullen, Jessica Ekholm, Adrian Lee, December 14, 2020.
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AppTek is a global leader in artificial intelligence (AI) and machine learning (ML) technologies for automatic speech recognition (ASR), neural machine translation (NMT), and natural language understanding (NLU). The AppTek platform delivers industry-leading, real-time streaming and batch technology solutions in the cloud or on-premise 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 and channels. For more information, please visit http://www.apptek.com.
AppTek provides an artificial intelligence and machine learning-based automatic speech recognition, machine translation and natural language understanding platform for organizations in a variety of markets, such as media and entertainment, call centers, government, enterprise business and others across the globe. Available via the cloud or on-premise, AppTek delivers the highest quality real-time streaming and batch speech technology solutions in the industry. Featuring scientists and research engineers who are recognized amongst the best and most experienced in the world, the company’s solutions cover a wide array of languages, dialects, and channels.