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1
On Homophony and Rényi Entropy ...
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2
Backtranslation in Neural Morphological Inflection ...
Abstract: Backtranslation is a common technique for leveraging unlabeled data in low-resource scenarios in machine translation. The method is directly applicable to morphological inflection generation if unlabeled word forms are available. This paper evaluates the potential of backtranslation for morphological inflection using data from six languages with labeled data drawn from the SIGMORPHON shared task resource and unlabeled data from different sources. Our core finding is that backtranslation can offer modest improvements in low-resource scenarios, but only if the unlabeled data is very clean and has been filtered by the same annotation standards as the labeled data. ...
Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Machine translation; Natural Language Processing
URL: https://dx.doi.org/10.48448/mhc1-hn61
https://underline.io/lecture/39458-backtranslation-in-neural-morphological-inflection
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3
Rule-based Morphological Inflection Improves Neural Terminology Translation ...
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4
Translating Headers of Tabular Data: A Pilot Study of Schema Translation ...
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5
An Information-Theoretic Characterization of Morphological Fusion ...
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6
Analyzing the Surprising Variability in Word Embedding Stability Across Languages ...
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7
Neural Machine Translation with Heterogeneous Topic Knowledge Embeddings ...
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8
STaCK: Sentence Ordering with Temporal Commonsense Knowledge ...
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9
Wikily Supervised Neural Translation Tailored to Cross-Lingual Tasks ...
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10
Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation ...
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11
Rethinking Data Augmentation for Low-Resource Neural Machine Translation: A Multi-Task Learning Approach ...
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12
Sequence Length is a Domain: Length-based Overfitting in Transformer Models ...
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13
Speechformer: Reducing Information Loss in Direct Speech Translation ...
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14
Data and Parameter Scaling Laws for Neural Machine Translation ...
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15
A Simple Geometric Method for Cross-Lingual Linguistic Transformations with Pre-trained Autoencoders ...
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16
Universal Simultaneous Machine Translation with Mixture-of-Experts Wait-k Policy ...
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17
Learning to Rewrite for Non-Autoregressive Neural Machine Translation ...
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18
Towards Making the Most of Dialogue Characteristics for Neural Chat Translation ...
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19
Improving the Quality Trade-Off for Neural Machine Translation Multi-Domain Adaptation ...
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20
Sometimes We Want Ungrammatical Translations ...
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