The juvenile Tillaux fracture is an avulsion fracture of the anterolateral corner of the distal tibial epiphysis. This type of fracture occurs when the anteroinferior tibiofibular ligament, with the foot position of supination-eversion or external rotation, avulses an epiphyseal fragment. Therefore, the anteroinferior tibiofibular ligament plays an important role in this injury, and usually remains intact. Here, we present a case in which the distal epiphyseal fragment was severely displaced and inverted, and the anteroinferior tibiofibular ligament was totally disrupted.

It is widely believed that linguistic theories and information technology have considerably influenced foreign language education. However, the collaboration of these three domains has not brought about new scientific results. It it thus, our attempt to realize an integration of theoretical and applied linguistics on the basis of computer sciences, and establish a new synthetic field called "Linguistic Informatics." The present volume constitutes the Proceedings of the First International Conference on Linguistic Informatics held at Tokyo University of Foreign Studies (TUFS) in December 2003. The volume is comprised of five chapters. 1. Computer-Assisted Linguistics: Potential for collaboration between linguistics and informatics. 2. Corpus Linguistics : Status report on corpus-based linguistic research. 3. Applied Linguistics : Relationship between second language acquisition and linguistic theory. 4. Discourse Analysis and Language Teaching : Current status of natural dialogue-based discourse analysis. 5. TUFS Language Modules : Development of multilingual e-learning materials covering 17 different languages.

In this paper, we propose a method for extracting topics we were interested in over the course of the past 28 months from a closed-caption TV corpus. Each TV program is assigned one of the following genres: drama, informational or tabloid-style program, music, movie, culture, news, variety, welfare, or sport. We focus on informational/tabloid-style programs, dramas and news in this paper. Using our method, we extracted bigrams that formed part of the signature phrase of a heroine and the name of a hero in a popular drama, as well as recent world, domestic, showbiz, and so on news. Experimental evaluations show that our simple method is as useful as the LDA model for topic detection, and our closed-caption TV corpus has the potential value to act as a rich, categorized chronicle for our culture and social life.

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Abstract-In this paper, we propose a method for extracting topics we were interested in over the course of the past 18 months from a closed-caption TV corpus. Each TV program is assigned one of the following genres: drama, informational or tabloid style program, music, movie, culture, news, variety, welfare, and sport. We focus on dramas and informational/tabloid style programs in this paper. As the results, we extracted some words or bigrams that formed part of a signature phrase of a heroine and the name of a hero in a popular drama.Index Terms-Topic detection, spoken language corpus, closed caption TV data, word frequency, Pearson's r. I. INTRODUCTIONCorpora have become the most important resources for researches and applications related to natural language, and a variety of researches and applications for corpus-based computational linguistics, knowledge engineering, and language education have been reported in recent years [1], [2]. Corpora are becoming larger with the increase in machine-readable language resources such as Web pages, wired newspapers, and social media.Almost all existing corpora are "written language corpora," and only a few "spoken language corpora" such as the Corpus for Spontaneous Japanese (CSJ) [3] can be used for research purposes. To make a spoken language corpus, it is generally necessary to record and dictate voice data. Therefore, a significant amount of time and effort is required to collect and maintain a spoken language corpus as compared to a written corpus, which can be directly collected from Web pages, newspaper articles, and other written materials. Spoken language is used to keep communication in the main part of our intelligent activities. In the fields of computational linguistics, social science, and language education, there is a large significance for spoken corpora as the fundamental data type, and collections of spoken language corpora are currently in large demand.For our project, we are constructing a large-scale spoken language corpus from closed caption data transmitted through digital terrestrial broadcasting [4]. Over 70% of the  Manuscript