Abstract
A desirable property for any system dealing with unrestricted natural language text is robustness, the ability to analyze any input regardless of its grammaticality. In this paper we present a novel, general transformation technique to automatically obtain robust, error-repair parsers fromstandard non-robust parsers. The resulting error-repair parsing schema is guaranteed to be correct when our method is applied to a correct parsing schema verifying certain conditions that are weak enough to be fulfilled by a wide variety of parsers used in natural language processing. © Springer-Verlag Berlin Heidelberg 2009.
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CITATION STYLE
Gómez-Rodríguez, C., Alonso, M. A., & Vilares, M. (2009). A general method for transforming standard parsers into error-repair parsers. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5449 LNCS, pp. 207–219). https://doi.org/10.1007/978-3-642-00382-0_17
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