COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
Approaches to zero adnominal recognition
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 2
Memory-based learning for article generation
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
Detecting errors in English article usage by non-native speakers
Natural Language Engineering
User input and interactions on Microsoft Research ESL Assistant
EdAppsNLP '09 Proceedings of the Fourth Workshop on Innovative Use of NLP for Building Educational Applications
HLT-SRWS '04 Proceedings of the Student Research Workshop at HLT-NAACL 2004
Language modeling for determiner selection
NAACL-Short '07 Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers
SRL-based verb selection for ESL
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
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One of the major problems when translating from Japanese into a Eurpoean language such as German or English is to determine definiteness of noun phrases in order to choose the correct determiner in the target language. Even though in Japanese, noun phrase reference is said to depend in large parts on the discourse context, we show that in many cases there also exist linguistic markers for definiteness. We use these to build a rule hierarchy that predicts 79,5% of the articles with an accuracy of 98,9% from syntactic-semantic properties alone, yielding an efficient pre-processing tool for the computationally expensive context checking.