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Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation ...
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Conditional Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation ...
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MSCTD: A Multimodal Sentiment Chat Translation Dataset ...
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Abstract:
Multimodal machine translation and textual chat translation have received considerable attention in recent years. Although the conversation in its natural form is usually multimodal, there still lacks work on multimodal machine translation in conversations. In this work, we introduce a new task named Multimodal Chat Translation (MCT), aiming to generate more accurate translations with the help of the associated dialogue history and visual context. To this end, we firstly construct a Multimodal Sentiment Chat Translation Dataset (MSCTD) containing 142,871 English-Chinese utterance pairs in 14,762 bilingual dialogues and 30,370 English-German utterance pairs in 3,079 bilingual dialogues. Each utterance pair, corresponding to the visual context that reflects the current conversational scene, is annotated with a sentiment label. Then, we benchmark the task by establishing multiple baseline systems that incorporate multimodal and sentiment features for MCT. Preliminary experiments on four language directions ... : Accepted at ACL 2022 as a long paper of main conference. Code and data: https://github.com/XL2248/MSCTD ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.2202.13645 https://arxiv.org/abs/2202.13645
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ConSLT: A Token-level Contrastive Framework for Sign Language Translation ...
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A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation ...
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Focus on the Target's Vocabulary: Masked Label Smoothing for Machine Translation ...
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USTC-NELSLIP at SemEval-2022 Task 11: Gazetteer-Adapted Integration Network for Multilingual Complex Named Entity Recognition ...
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Towards the Next 1000 Languages in Multilingual Machine Translation: Exploring the Synergy Between Supervised and Self-Supervised Learning ...
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GL-CLeF: A Global-Local Contrastive Learning Framework for Cross-lingual Spoken Language Understanding ...
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Delving Deeper into Cross-lingual Visual Question Answering ...
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Multi-Level Contrastive Learning for Cross-Lingual Alignment ...
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Cross-Lingual Text Classification with Multilingual Distillation and Zero-Shot-Aware Training ...
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HFL at SemEval-2022 Task 8: A Linguistics-inspired Regression Model with Data Augmentation for Multilingual News Similarity ...
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Controllable Natural Language Generation with Contrastive Prefixes ...
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SGL: Symbolic Goal Learning in a Hybrid, Modular Framework for Human Instruction Following ...
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Local-Global Context Aware Transformer for Language-Guided Video Segmentation ...
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Automatic Speech Recognition Datasets in Cantonese: A Survey and New Dataset ...
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