This paper explores the use of machine learning techniques to restore punctuation and case in English text, as part of which it investigates the co-dependence of case information and punctuation. We achieve an overall F-score of .619 for the task using a variety of lexical and contextual features, and iterative retagging. © Springer-Verlag Berlin Heidelberg 2009.
CITATION STYLE
Baldwin, T., & Joseph, M. P. A. K. (2009). Restoring punctuation and casing in English text. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5866 LNAI, pp. 547–556). https://doi.org/10.1007/978-3-642-10439-8_55
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