The amount of documents directly published by end users is increasing along with the growth of Web . Such documents often contain spoken-style expressions, which are difficult to analyze using conventional parsers. This paper presents dependency parsing whose goal is to analyze Japanese semi-spoken expressions. One characteristic of our method is that it can parse selfdependent (independent) segments using sequential labeling. of Web . Such documents do not use controlled written language and contain fillers and emoticons. This implies that analyzing such documents is difficult for conventional parsers. .
