In this paper we will describe a process for mining syntactical verbal subcategorization, i.e. the information about the kind of phrases or clauses a verb goes with. We will use a large text corpus having almost 10,000,000 tagged words as our resource material. Loglinear modeling is used to analyze and automatically identify the subcategorization dependencies. An unsupervised clustering algorit...

This article presents a contrastive analysis between reading time and syntactic/semantic categories in Japanese. We overlaid the reading time annotation of BCCWJ-EyeTrack and a syntactic/semantic category information annotation on the ‘Balanced Corpus of Contemporary Written Japanese’. Statistical analysis based on a mixed linear model showed that verbal phrases tend to have shorter reading tim...

This paper proposes a statistical method of acquiring knowledge about the abbreviation possibility of some of multiple phrases modifying the same verb/noun. Our method calculates weight values of multiple phrases by mutual information based on the strength of relation between the phrases among the multiple phrases and modified verbs/nouns. Among phrases modifying the same verb/noun, those havin...

In this paper, we present a two-stage approach to generating descriptive phrases from the output of a statistical topic model, such as LDA [4]. First, we propose a Bayesian method for selecting statistically significant phrases from a corpus of documents, using inferred parameter values from LDA. Second, the selected phrases are combined with the topic assignments to make a list of candidate ph...

Space Transitions: behind on the edge of beside in front of west of high over toward around facing east of against under throughout near in back of north of alongside below to the right of side by side in the center south of ahead of beneath to the left of close to inside at the here low down on top of next to outside in there on the bottom at the top down at the end of on beyond on the corner ...

This paper present an interactive search engine (Website Term Browser) which makes use of phrasal information to process queries and suggest relevant topics in a fully multilingual setting.

In this paper, assuming that there is an intermediate functional category called Agreement Phrase (AGRP) in DP, I argue that an adnominal modifier such as a pre-nominal adjective or relative clause (RC) is base-generated in Spec,AGRP. In particular, I distinguish between Restrictive Adnominal Modifiers (RAM) and Non-restrictive Adnominal Modifiers (NAM), and argue that the NAM in head-final lan...

Semantic accounts of the definite article have tended to fall into two general classes: ‘uniqueness’ accounts (Russell, 1905), and ‘familiarity’ accounts (Heim, 1982; see also Abbott, 2004, inter alia). It is also generally known that there are instances of definite descriptions that are resistant to such analyses, and are difficult to subsume under either treatment, or even a combination of bo...

This paper presents a format for representing the l inguist ic form of utterances, cal led situation schemata, which is rooted in the situation semantics of Barwise and Perry. A treatment of locative prepositional phrases is given, thus illustrating the generat ion of the situation schemata and their interpretation in situation semantics. I n t r o d u c t i o n A natural language system aims t...

We study the problem of similarity between phrases. To do so, we study three similarity methods. The first one considers the commonalities and differences of the two phrases. The second one is an extension of the well-known Levenshtein-Damerau distance in a word oriented fashion. The third one considers the sequentiality of the phrases and is resistant to phrases with repeated words. Finally, w...