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Found 5 papers, 3 papers with code
Filtering of Noisy Web-Crawled Parallel Corpus: the Japanese-Bulgarian Language Pair
The corpus utilised to train machine translation models in the study is CCMatrix, provided by OPUS.
SlideAVSR: A Dataset of Paper Explanation Videos for Audio-Visual Speech Recognition
Audio-visual speech recognition (AVSR) is a multimodal extension of automatic speech recognition (ASR), using video as a complement to audio.
Audio-Visual Speech Recognition
Automatic Speech Recognition
+4
Video-Helpful Multimodal Machine Translation
In addition to the extensive training set, EVA contains a video-helpful evaluation set in which subtitles are ambiguous, and videos are guaranteed helpful for disambiguation.
Towards Speech Dialogue Translation Mediating Speakers of Different Languages
We present a new task, speech dialogue translation mediating speakers of different languages.
VISA: An Ambiguous Subtitles Dataset for Visual Scene-Aware Machine Translation
Existing multimodal machine translation (MMT) datasets consist of images and video captions or general subtitles, which rarely contain linguistic ambiguity, making visual information not so effective to generate appropriate translations.
