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EnvEdit: Environment Editing for Vision-and-Language Navigation ...
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Homepage2Vec: Language-Agnostic Website Embedding and Classification ...
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Multilinguals at SemEval-2022 Task 11: Transformer Based Architecture for Complex NER ...
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A new approach to calculating BERTScore for automatic assessment of translation quality ...
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A New Generation of Perspective API: Efficient Multilingual Character-level Transformers ...
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ViWOZ: A Multi-Domain Task-Oriented Dialogue Systems Dataset For Low-resource Language ...
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EAG: Extract and Generate Multi-way Aligned Corpus for Complete Multi-lingual Neural Machine Translation ...
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Abstract:
Complete Multi-lingual Neural Machine Translation (C-MNMT) achieves superior performance against the conventional MNMT by constructing multi-way aligned corpus, i.e., aligning bilingual training examples from different language pairs when either their source or target sides are identical. However, since exactly identical sentences from different language pairs are scarce, the power of the multi-way aligned corpus is limited by its scale. To handle this problem, this paper proposes "Extract and Generate" (EAG), a two-step approach to construct large-scale and high-quality multi-way aligned corpus from bilingual data. Specifically, we first extract candidate aligned examples by pairing the bilingual examples from different language pairs with highly similar source or target sentences; and then generate the final aligned examples from the candidates with a well-trained generation model. With this two-step pipeline, EAG can construct a large-scale and multi-way aligned corpus whose diversity is almost identical ... : Accepted as a long paper at ACL 2022 ...
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Keyword:
Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/2203.02180 https://dx.doi.org/10.48550/arxiv.2203.02180
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Learning Bidirectional Translation between Descriptions and Actions with Small Paired Data ...
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A Feasibility Study of Answer-Agnostic Question Generation for Education ...
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Language Generation for Broad-Coverage, Explainable Cognitive Systems ...
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Regional Negative Bias in Word Embeddings Predicts Racial Animus--but only via Name Frequency ...
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Grounding Hindsight Instructions in Multi-Goal Reinforcement Learning for Robotics ...
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Formal Language Recognition by Hard Attention Transformers: Perspectives from Circuit Complexity ...
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Curriculum: A Broad-Coverage Benchmark for Linguistic Phenomena in Natural Language Understanding ...
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