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1
Multilingual Neural Machine Translation:Can Linguistic Hierarchies Help? ...
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2
Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data Selection ...
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3
Uncertainty-Aware Balancing for Multilingual and Multi-Domain Neural Machine Translation Training ...
Wu, Minghao; Li, Yitong; Zhang, Meng. - : arXiv, 2021
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4
Neural-Symbolic Commonsense Reasoner with Relation Predictors ...
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5
Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection ...
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6
Learning to Explain: Generating Stable Explanations Fast ...
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7
It Is Not As Good As You Think! Evaluating Simultaneous Machine Translation on Interpretation Data ...
Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.537/ Abstract: Most existing simultaneous machine translation (SiMT) systems are trained and evaluated on offline translation corpora. We argue that SiMT systems should be trained and tested on real interpretation data. To illustrate this argument, we propose an interpretation test set and conduct a realistic evaluation of SiMT trained on offline translations. Our results, on our test set along with 3 existing smaller scale language pairs, highlight the difference of up-to 13.83 BLEU score when SiMT models are evaluated on translation vs interpretation data. In the absence of interpretation training data, we propose a translation-to-interpretation (T2I) style transfer method which allows converting existing offline translations into interpretation-style data, leading to up-to 2.8 BLEU improvement. However, the evaluation gap remains notable, calling for constructing large-scale interpretation corpora better suited for evaluating and developing ...
Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Machine translation; Natural Language Processing
URL: https://dx.doi.org/10.48448/atgp-vb88
https://underline.io/lecture/37602-it-is-not-as-good-as-you-think!-evaluating-simultaneous-machine-translation-on-interpretation-data
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8
Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers ...
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9
Cognition-aware Cognate Detection ...
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10
Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data Selection ...
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11
Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help? ...
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12
Multilingual Simultaneous Neural Machine Translation ...
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13
Uncertainty-Aware Balancing for Multilingual and Multi-Domain Neural Machine Translation Training ...
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14
Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource Languages ...
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15
Two-Stage Recognition and beyond for Compound Facial Emotion Recognition
In: Electronics ; Volume 10 ; Issue 22 (2021)
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16
Psychometric properties of modified MOS social support survey 5-item (MSSS-5-item) among Iranian older adults
In: BMC Geriatr (2021)
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17
Concurrent Group-Dynamic Assessment of Intermediate EFL Learners’ Receptive and Productive Vocabulary Size
In: Porta Linguarum: revista internacional de didáctica de las lenguas extranjeras, ISSN 1697-7467, Nº. 36, 2021, pags. 119-137 (2021)
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