2020
EMNLP
EMNLP 2020
Learning Pronoun Case from Distributional Cues: Flexible Frames for Case Acquisition
Abstract
AbstractCase is an abstract grammatical feature that indicates argument relationship in a sentence. In English, cases are expressed on pronouns, as nominative case (e.g. I, he), accusative case (e.g. me, him) and genitive case (e.g. my, his). Children correctly use cased pronouns at a very young age. How do they acquire abstract case in the first place, when different cases are not associated with different meanings? This paper proposes that the distributional patterns in parents’ input could be used to distinguish grammatical cases in English.
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Interdisciplinary Bridge
— Artificial Intelligence and Interdisciplinary and Machine Learning
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Keyword Pioneer
— pronoun case
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Hot Topic Early Bird
— language acquisition
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio