2019
ACL
ACL 2019
Measuring the Value of Linguistics: A Case Study from St. Lawrence Island Yupik
Abstract
AbstractThe adaptation of neural approaches to NLP is a landmark achievement that has called into question the utility of linguistics in the development of computational systems. This research proposal consequently explores this question in the context of a neural morphological analyzer for a polysynthetic language, St. Lawrence Island Yupik. It asks whether incorporating elements of Yupik linguistics into the implementation of the analyzer can improve performance, both in low-resource settings and in high-resource settings, where rich quantities of data are readily available.
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Interdisciplinary Bridge
— Interdisciplinary and Machine Learning and Natural Language Processing
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Keyword Pioneer
— neural morphological analyzer
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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, Speech & Audio
Authors
Topics
Machine Learning > Application Areas > Domain Adaptation
Interdisciplinary > Linguistics > Computational Linguistics
Machine Learning > Learning Types > Few-Shot Learning
Natural Language Processing > Resources & Methods > Language Modeling
Machine Learning > Learning Types > Deep Learning
Natural Language Processing > Applications > Text Processing