Корпус Киотского университета

This paper describes a dependency structure analysis of Japanese sentences based on the maximum entropy mod- els. Our model is created by learning the weights of some features from a …...

This paper presents a method of Japanese dependency structure analysis based on Sup-- port Vector Machines (SVMs). Conventional parsing techniques based on Machine Learn- ing framework, such as Decision Trees …...

In this paper, we propose a new statistical Japanese dependency parser using a cascaded chunking model. Conventional Japanese statistical depen- dency parsers are mainly based on a probabilistic model, which …...

We present a novel algorithm for Japanese dependency analysis. The algorithm allows us to analyze dependency structures of a sentence in linear-time while keeping a state-of-the-art accuracy. In this paper, …...

. We explore the use of a partially annotated corpus to build a depen- dency parser for Japanese. We examine two types of partially annotated corpora. It is found that …...