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1
Constrained Language Models Yield Few-Shot Semantic Parsers ...
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2
Searching for More Efficient Dynamic Programs ...
Vieira, Tim; Cotterell, Ryan; Eisner, Jason. - : ETH Zurich, 2021
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3
Searching for More Efficient Dynamic Programs
In: Findings of the Association for Computational Linguistics: EMNLP 2021 (2021)
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4
A Corpus for Large-Scale Phonetic Typology ...
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5
A Corpus for Large-Scale Phonetic Typology ...
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6
A corpus for large-scale phonetic typology
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7
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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8
Contextualization of Morphological Inflection ...
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9
Are All Languages Equally Hard to Language-Model?
In: Proceedings of the Society for Computation in Linguistics (2019)
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10
A Generative Model for Punctuation in Dependency Trees
In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 357-373 (2019) (2019)
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11
On the Complexity and Typology of Inflectional Morphological Systems
In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 327-342 (2019) (2019)
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12
Spell Once, Summon Anywhere: A Two-Level Open-Vocabulary Language Model ...
Mielke, Sabrina J.; Eisner, Jason. - : arXiv, 2018
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13
On the Complexity and Typology of Inflectional Morphological Systems ...
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14
Are All Languages Equally Hard to Language-Model? ...
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15
A Deep Generative Model of Vowel Formant Typology ...
Cotterell, Ryan; Eisner, Jason. - : arXiv, 2018
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16
Unsupervised Disambiguation of Syncretism in Inflected Lexicons ...
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17
Predicting Fine-Grained Syntactic Typology from Surface Features
In: Proceedings of the Society for Computation in Linguistics (2018)
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18
Quantifying the Trade-off Between Two Types of Morphological Complexity
In: Proceedings of the Society for Computation in Linguistics (2018)
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19
Probabilistic Typology: Deep Generative Models of Vowel Inventories ...
Cotterell, Ryan; Eisner, Jason. - : arXiv, 2017
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20
Probabilistic Typology: Deep Generative Models of Vowel Inventories ...
Cotterell, Ryan; Eisner, Jason. - : Apollo - University of Cambridge Repository, 2017
Abstract: Linguistic typology studies the range of structures present in human language. The main goal of the field is to discover which sets of possible phenomena are universal, and which are merely frequent. For ex- ample, all languages have vowels, while most—but not all—languages have an [u] sound. In this paper we present the first probabilistic treatment of a basic question in phonological typology: What makes a natural vowel inventory? We introduce a se- ries of deep stochastic point processes, and contrast them with previous computational, simulation-based approaches. We provide a comprehensive suite of experiments on over 200 distinct languages. ...
URL: https://www.repository.cam.ac.uk/handle/1810/294479
https://dx.doi.org/10.17863/cam.41585
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