- (Palmer, 1997) ⇒ David D. Palmer. (1997). “A Trainable Rule-based Algorithm for Word Segmentation.” In: Proceedings of the ACL 1997 Conference. doi:10.3115/976909.979658.
This paper presents a trainable rule-based algorithm for performing word segmentation. The algorithm provides a simple, language-independent alternative to large-scale lexical-based segmenters requiring large amounts of knowledge engineering. As a stand-alone segmenter, we show our algorithm to produce high performance Chinese segmentation. In addition, we show the transformation-based algorithm to be effective in improving the output of several existing word segmentation algorithms in three different languages.
|1997 ATrainableRuleBasedAlgForWordSeg||David D. Palmer||A Trainable Rule-based Algorithm for Word Segmentation||Proceedings of the ACL 1997 Conference||10.3115/976909.979658||1997|