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1
On Homophony and Rényi Entropy ...
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2
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 ...
Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.124/ Abstract: We present a simple but effective approach for leveraging Wikipedia for neural machine translation as well as cross-lingual tasks of image captioning and dependency parsing without using any direct supervision from external parallel data or supervised models in the target language. We show that first sentences and titles of linked Wikipedia pages, as well as cross-lingual image captions, are strong signals for a seed parallel data to extract bilingual dictionaries and cross-lingual word embeddings for mining parallel text from Wikipedia. Our final model achieves high BLEU scores that are close to or sometimes higher than strong supervised baselines in low-resource languages; e.g. supervised BLEU of 4.0 versus 12.1 from our model in English-to-Kazakh. Moreover, we tailor our wikily supervised translation models to unsupervised image captioning, and cross-lingual dependency parser transfer. In image captioning, we train a ...
Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Machine translation; Natural Language Processing
URL: https://dx.doi.org/10.48448/s8d3-xy65
https://underline.io/lecture/37353-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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