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Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets
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In: https://hal.inria.fr/hal-03177623 ; 2021 (2021)
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Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer ...
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Can Multilinguality benefit Non-autoregressive Machine Translation? ...
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Assessing Reference-Free Peer Evaluation for Machine Translation ...
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Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer ...
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Assessing Reference-Free Peer Evaluation for Machine Translation ...
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A Non-Autoregressive Edit-Based Approach to Controllable Text Simplification ...
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Controlling Text Complexity in Neural Machine Translation ...
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Abstract:
This work introduces a machine translation task where the output is aimed at audiences of different levels of target language proficiency. We collect a high quality dataset of news articles available in English and Spanish, written for diverse grade levels and propose a method to align segments across comparable bilingual articles. The resulting dataset makes it possible to train multi-task sequence-to-sequence models that translate Spanish into English targeted at an easier reading grade level than the original Spanish. We show that these multi-task models outperform pipeline approaches that translate and simplify text independently. ... : Accepted to EMNLP-IJCNLP 2019 ...
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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.1911.00835 https://arxiv.org/abs/1911.00835
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