Amazon Flags Problem of Using Web-Scraped Machine-Translated Data in LLM Training
Amazon researchers flag the “garbage in, garbage out” problem when using low-quality, web-scraped, machine-translated data...
#Amazon
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AWS Launches New Transcribe Foundation Model Trained on Millions of Hours of Audio
A new broad-based language model, trained specifically for certain tasks, balances training data to promote...
Microsoft and Amazon Announce Similar New Machine Translation Features a Day Apart
Microsoft and Amazon make similar new machine translation feature announcements within a day of each...
Will Amazon’s New Distribution Unit Drive Prime Video Localization Demand?
To compete with other streaming services, Amazon has announced it will license its library of...
A Realistic Dataset for Evaluating Gender Bias in Machine Translation by Amazon
Amazon releases MT-GenEval, a realistic dataset for evaluating gender bias in machine translation, to better...
Everyone’s Talking About ChatGPT, DeepL Crowned Unicorn
Generative AI hype, DeepL confirms unicorn round, translation scam activity in 2022, the best and...
Working Around Machine Translation’s Need for Large-Scale Training Data
Unlike some fields in machine learning, machine translation still requires large sets of training data....
Large Amazon Study on Human Dubbing Has ‘Surprising’ Implications for AI Dubbing
Amazon reviewed hundreds of hours of Prime content and found that human dubbers prioritize translation...
Amazon Quantifies Impact of Machine Translation Quality on Multilingual Searches
Multilingual e-commerce searches introduce shoppers to new products; researchers identify language pairs with most to...
Converting Any Pre-Trained MT Metric Into a Document-Level Metric — An Amazon Study
Researchers from Amazon present a simple procedure for extending pretrained machine translation evaluation metrics to...
Amazon Unveils Long-Term Goal in Natural Language Processing
Amazon presents three ways it hopes to extend current natural language processing R&D beyond just...