The SubER (Subtitle Edit Rate) metric is a new standard designed to evaluate the quality of automatically generated subtitles by considering both textual accuracy and timing, addressing unique challenges in subtitle creation. It calculates the edits needed—such as substitutions, deletions, and shifts—to align machine-generated subtitles with a professional reference, offering a more holistic approach than traditional metrics like WER or BLEU. With broad applications in benchmarking and quality assurance, SubER has the potential to become an industry standard for subtitle evaluation, improving the viewing experience by ensuring subtitles are accurate and well-timed.
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Large Language Models (LLMs) is the latest milestone in Natural Language Processing (NLP) and the topic that has captivated the headlines and the attention of the scientific community the world over since the launch of ChatGPT approximately a year and a half ago. Despite the yet unresolved issue of hallucinations which has slowed down the faster and wider adoption of LLMs across all areas of our digital life, the latter have demonstrated impressive capabilities in a wide array of scenarios and tasks, including translation, making our imaginations run wild about the future of multilingual communication.
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We are pleased to announce our new patent(No: US 12,073,177 B2) dated August 27, 2024, for a method and apparatus for improved automatic subtitle segmentation using an artificial neural model.
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From pioneering subtitling technology to influential keynote addresses, AppTek's involvement in IWSLT 2024 is a testament to its commitment to innovation and excellence.
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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.
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AppTek.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.
