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An Information-Theoretic Characterization of Morphological Fusion ...
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A Simple Geometric Method for Cross-Lingual Linguistic Transformations with Pre-trained Autoencoders ...
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Exploring Pre-Trained Transformers and Bilingual Transfer Learning for Arabic Coreference Resolution ...
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Evaluating the Morphosyntactic Well-formedness of Generated Texts ...
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Visually Grounded Reasoning across Languages and Cultures ...
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I Wish I Would Have Loved This One, But I Didn't -- A Multilingual Dataset for Counterfactual Detection in Product Review ...
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MultiEURLEX - A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transfer ...
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IR like a SIR: Sense-enhanced Information Retrieval for Multiple Languages ...
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Chinese Opinion Role Labeling with Corpus Translation: A Pivot Study ...
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Genre as Weak Supervision for Cross-lingual Dependency Parsing ...
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Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering ...
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Recent Advances in Dialogue Machine Translation
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In: Information ; Volume 12 ; Issue 11 (2021)
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Abstract:
Recent years have seen a surge of interest in dialogue translation, which is a significant application task for machine translation (MT) technology. However, this has so far not been extensively explored due to its inherent characteristics including data limitation, discourse properties and personality traits. In this article, we give the first comprehensive review of dialogue MT, including well-defined problems (e.g., 4 perspectives), collected resources (e.g., 5 language pairs and 4 sub-domains), representative approaches (e.g., architecture, discourse phenomena and personality) and useful applications (e.g., hotel-booking chat system). After systematical investigation, we also build a state-of-the-art dialogue NMT system by leveraging a breadth of established approaches such as novel architectures, popular pre-training and advanced techniques. Encouragingly, we push the state-of-the-art performance up to 62.7 BLEU points on a commonly-used benchmark by using mBART pre-training. We hope that this survey paper could significantly promote the research in dialogue MT.
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Keyword:
benchmark data; building advanced system; dialogue; discourse issue; existing approaches; neural machine translation; real-life applications
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URL: https://doi.org/10.3390/info12110484
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Visually Grounded Reasoning across Languages and Cultures ...
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Students Who Study Together Learn Better: On the Importance of Collective Knowledge Distillation for Domain Transfer in Fact Verification ...
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On the Relation between Syntactic Divergence and Zero-Shot Performance ...
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Bridging the “gApp”: improving neural machine translation systems for multiword expression detection
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In: 11 ; 1 ; 61 ; 80 (2020)
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PADIC: extension and new experiments
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In: 7th International Conference on Advanced Technologies ; 7th International Conference on Advanced Technologies ICAT ; https://hal.archives-ouvertes.fr/hal-01718858 ; 7th International Conference on Advanced Technologies ICAT, Apr 2018, Antalya, Turkey (2018)
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