This paper presents an attempt to construct a feedback systenr PECOF which improves a Japauese-English Machine Translation system by feedback of correcting information given by posteditors. PECOF analyzes the error-correcting information by using an English-Japmmse Machine Translation system which works in the reverse direction to the original MT sys~ tern, corot)ares the intermediate expressions of the corrected patterns with those of the erroneous parts of the originai MT output at every transfer stage and idenLifies the responsible parts of the original Japanese-English M'P system. Then PECOF corrects the
In technical documents, diagrams are generally utilized with expository text aiming at concise presentation of information.Since the information is conveyed by both text and diagrams, it is necessary to understand both of them to extract information from documents. In this paper, we propose a method of understanding of expository
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.