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Constrained Language Models Yield Few-Shot Semantic Parsers ...
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Searching for More Efficient Dynamic Programs
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In: Findings of the Association for Computational Linguistics: EMNLP 2021 (2021)
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A Corpus for Large-Scale Phonetic Typology
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In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)
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Are All Languages Equally Hard to Language-Model?
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In: Proceedings of the Society for Computation in Linguistics (2019)
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A Generative Model for Punctuation in Dependency Trees
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In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 357-373 (2019) (2019)
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On the Complexity and Typology of Inflectional Morphological Systems
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In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 327-342 (2019) (2019)
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Predicting Fine-Grained Syntactic Typology from Surface Features
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In: Proceedings of the Society for Computation in Linguistics (2018)
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Quantifying the Trade-off Between Two Types of Morphological Complexity
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In: Proceedings of the Society for Computation in Linguistics (2018)
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Probabilistic Typology: Deep Generative Models of Vowel Inventories ...
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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. ...
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URL: https://www.repository.cam.ac.uk/handle/1810/294479
https://dx.doi.org/10.17863/cam.41585
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| 12 |
Fine-Grained Prediction of Syntactic Typology: Discovering Latent Structure with Supervised Learning ...
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The Galactic Dependencies Treebanks: Getting More Data by Synthesizing New Languages ...
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Probabilistic Typology: Deep Generative Models of Vowel Inventories
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Eisner, Jason; Cotterell, Ryan. - : Association for Computational Linguistics, 2017. : Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2017
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| 15 |
Weighting Finite-State Transductions With Neural Context
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Eisner, Jason; Cotterell, Ryan; Rastogi, Pushpendre. - : Association for Computational Linguistics, 2016. : Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2016
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Modeling Word Forms Using Latent Underlying Morphs and Phonology ...
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Modeling Word Forms Using Latent Underlying Morphs and Phonology
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Finite-State Phonology: Proceedings of the 5th Workshop of the ACL Special Interest Group in Computational Phonology (SIGPHON) ...
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Smoothing a probablistic lexicon via syntactic transformations
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In: Dissertations available from ProQuest (2001)
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Three New Probabilistic Models for Dependency Parsing: An Exploration ...
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