This research focuses on overcoming the language barriers in recommendation systems by using Transformer Leveraged Document Representations (TLDRs) to represent documents across languages. The team evaluated four multilingual pre-trained transformer…
Continue readingThe article introduces MuTox, a multilingual audio-based toxicity detection system. It’s the first of its kind, with a dataset that includes 20,000 audio utterances for English and Spanish, and 4,000…
Continue readingThe article introduces DIALIGHT, a toolkit for developing and evaluating multilingual Task-Oriented Dialogue (TOD) systems. The toolkit facilitates systematic evaluations and comparisons between TOD systems that use fine-tuning of Pretrained…
Continue readingThe article presents DIALIGHT, a toolkit for developing and evaluating multilingual Task-Oriented Dialogue (TOD) systems. It’s designed to facilitate systematic evaluations and comparisons between TOD systems using Pretrained Language Models…
Continue readingThe article presents a single model for multilingual audio-visual speech recognition tasks. The researchers were inspired by the human cognitive system’s ability to distinguish different languages without conscious effort. They…
Continue readingThe study discusses the use of neural network pruning as an effective method for compressing a multilingual ASR model with minimal performance loss. The proposed adaptive masking approach results in…
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