This paper proposes a word segmentation method for machine-printed text lines. It utilizes gaps and special symbols as delimiters between words. A gap clustering technique is used...
Soo-Hyung Kim, Chang Bu Jeong, Hee K. Kwag, Ching ...
In this paper, we propose a new Bayesian model for fully unsupervised word segmentation and an efficient blocked Gibbs sampler combined with dynamic programming for inference. Our...
This paper describes a hybrid model that combines machine learning with linguistic heuristics for integrating unknown word identification with Chinese word segmentation. The model...
Standard approaches to Chinese word segmentation treat the problem as a tagging task, assigning labels to the characters in the sequence indicating whether the character marks a w...
A system for the automatic segmentation of German words into morphs was developed. The main linguistic knowledge sources used by the system are a word syntax and a morph dictionar...
T. Pachunke, O. Mertineit, Klaus Wothke, Rudolf Sc...