@inbook{7263dbe3b39043df89e82c75337187d7,
title = "Towards language-independent sentence boundary detection",
abstract = "We propose a machine learning approach for language-independent sentence boundary detection. The proposed method requires no heuristic rules and language-specific features, such as Part-of-Speech (POS) information, a list of abbreviations or proper names. With only the language-independent features, we perform experiments on not only an inflectional language but also an agglutinative language, having fairly different characteristics (in this paper, English and Korean, respectively). In addition, we obtain good performances in both languages.",
author = "Lee, {Do Gil} and Rim, {Hae Chang}",
year = "2004",
doi = "10.1007/978-3-540-24630-5_17",
language = "English",
isbn = "3540210067",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "142--145",
editor = "Alexander Gelbukh",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
}