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1
Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP
In: https://hal.inria.fr/hal-03540069 ; 2022 (2022)
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2
Findings of the IWSLT 2020 Evaluation campaign
Niehues, Jan; Federico, Marcello; Ma, Xutai. - : Association for Computational Linguistics, 2022
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3
KIT Lecture Translator: Multilingual Speech Translation with One-Shot Learning
Nguyen, Thai-Son; Zenkel, Thomas; Waibel, Alex. - : Association for Computational Linguistics, 2022
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4
Tutorial: End-to-End Speech Translation
Negri, Matteo; Salesky, Elizabeth; Turchi, Marco. - : Association for Computational Linguistics, 2022
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5
Assessing Evaluation Metrics for Speech-to-Speech Translation ...
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Assessing Evaluation Metrics for Speech-to-Speech Translation ...
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The Multilingual TEDx Corpus for Speech Recognition and Translation ...
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8
Tutorial: End-to-End Speech Translation ...
Niehues, Jan; Salesky, Elizabeth; Turchi, Marco. - : Association for Computational Linguistics, 2021
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9
A surprisal--duration trade-off across and within the world's languages ...
Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.73/ Abstract: While there exist scores of natural languages, each with its unique features and idiosyncrasies, they all share a unifying theme: enabling human communication. We may thus reasonably predict that human cognition shapes how these languages evolve and are used. Assuming that the capacity to process information is roughly constant across human populations, we expect a surprisal--duration trade-off to arise both across and within languages. We analyse this trade-off using a corpus of 600 languages and, after controlling for several potential confounds, we find strong supporting evidence in both settings. Specifically, we find that, on average, phones are produced faster in languages where they are less surprising, and vice versa. Further, we confirm that more surprising phones are longer, on average, in 319 languages out of the 600. We thus conclude that there is strong evidence of a surprisal--duration trade-off in operation, both ...
Keyword: Cognitive Modeling; Computational Linguistics; Language Models; Machine Learning; Machine Learning and Data Mining; Natural Language Processing
URL: https://underline.io/lecture/37827-a-surprisal--duration-trade-off-across-and-within-the-world's-languages
https://dx.doi.org/10.48448/799j-9p13
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10
Assessing Evaluation Metrics for Speech-to-Speech Translation
In: 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) (2021)
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11
Robust Open-Vocabulary Translation from Visual Text Representations ...
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12
Optimizing segmentation granularity for neural machine translation [<Journal>]
Salesky, Elizabeth [Verfasser]; Runge, Andrew [Verfasser]; Coda, Alex [Verfasser].
DNB Subject Category Language
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13
SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection ...
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14
SIGTYP 2020 Shared Task: Prediction of Typological Features ...
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15
Findings of the IWSLT 2020 Evaluation campaign ...
Ansari, Ebrahim; Axelrod, Amittai; Bach, Nguyen. - : Association for Computational Linguistics, 2020
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16
Generalized Entropy Regularization or: There’s Nothing Special about Label Smoothing ...
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17
A Corpus for Large-Scale Phonetic Typology ...
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A Corpus for Large-Scale Phonetic Typology ...
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19
A corpus for large-scale phonetic typology
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20
A Corpus for Large-Scale Phonetic Typology
In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)
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