2018
ACL
ACL 2018
Surface Realization Shared Task 2018 (SR18): The Tilburg University Approach
Abstract
AbstractThis study describes the approach developed by the Tilburg University team to the shallow task of the Multilingual Surface Realization Shared Task 2018 (SR18). Based on (Castro Ferreira et al., 2017), the approach works by first preprocessing an input dependency tree into an ordered linearized string, which is then realized using a statistical machine translation model. Our approach shows promising results, with BLEU scores above 50 for 5 different languages (English, French, Italian, Portuguese and Spanish) and above 35 for the Dutch language.
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Keyword Pioneer
— multilingual processing
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Cross-Pollinator
— Artificial Intelligence, Computer Vision, Deep Learning, Interdisciplinary, Machine Learning, Natural Language Processing, Speech & Audio
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Interdisciplinary Bridge
— Machine Learning and Natural Language Processing
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Trend Setter
— Natural Language Generation
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Hot Topic Early Bird
— multilingual processing
Authors
Topics
Machine Learning > Optimization & Theory > Statistical Learning
Natural Language Processing > Generation > Text Generation
Natural Language Processing > Applications > Machine Translation
Natural Language Processing > Resources & Methods > Multilingual NLP
Natural Language Processing > Generation > Machine Translation
Machine Learning > Learning Types > Statistical Learning
Natural Language Processing > Applications > Natural Language Generation