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This paper has three aims: (1) to generalize a computational account of the discourse process called CENTERING, (2) to apply this account to discourse processing in Japanese so that it can be used in computational systems for machine translation or language understanding, and (3) to provide some insights on the effect of syntactic factors in Japanese on(More)
In this paper we propose a computational treatment of the resolution of zero pronouns in Japanese discourse, using an adaptation of the centering algorithm. We are able to factor language-specific dependencies into one parameter of the centering algorithm. Previous analyses have stipulated that a zero pronoun and its cospecifier must share a grammatical(More)
Knowledge-based machine translation ( K B M T ) techniques yield high quabty in domuoH wi th detailed semantic models, l imited vocabulary, and controlled input grammar Scaling up along these dimensions means acquiring large knowledge resources It also means behaving reasonably when definitive knowledge is not yet available This pa per describes how we can(More)
Despite the advances in both generative grammar and sociolinguistics over the past three decades, developments in each sub eld have had relatively little impact on the other. Both in content and methodology, syntactic theory and variation theory have been largely isolated from one another, with little cross-communication between the two domains of study. In(More)
2 System Design: Philosophy We summarize recent machine translation (MT) research at the Information Sciences Institute of USC, and we describe its application to the development of a Japanese-English newspaper MT system. Our work aims at scaling up grammar-based, knowledge-based MT techniques. This scale-up involves the use of statistical methods, both in(More)
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