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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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Spell Once, Summon Anywhere: A Two-Level Open-Vocabulary Language Model ...
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On the Complexity and Typology of Inflectional Morphological Systems ...
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Unsupervised Disambiguation of Syncretism in Inflected Lexicons ...
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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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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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