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This paper presents a reesthnation algorithm and a best-first parsing (BFP) algorithm for probabilistic dependency grummars (PDG). The proposed reestimation algorithm is a variation of the inside-outside algorithm adapted to probabilistic dependency grammars. The inside-outside algorithm is a probabilistic parameter reestimation algorithm for phrase(More)
This note introduces at, English-to-Korean Machiue 'lYanslation System MA!t'ES/EK, which ha.s been developed as a research prototype and is still under upgrading in KAIST (Korea Advanced Institute of Science and Technology). MATES/EK is a transfl:r.-ba.~ed system and it has several subsystems tt, at can be used to support other MT-developments. They are(More)
Language modeling is to associate a sequence of words with a priori probability, which is a key part of many natural language applications such as speech recognition and statistical machine translation. In this paper, we present a language modeling based on a kind of simple dependency grammar. The grammar consists of head-dependent relations between words(More)
We evaluated the in vitro pharmacology as well as the absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties of chemical entities that not only were shown to be highly selective agonists for ERRγ but also exhibited enhanced pharmacokinetic profile compared with 3 (GSK5182). 6g and 10b had comparable potency to 3 and were far more(More)
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