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Feature-relativized Criterial Freezing
Masako Maeda 한국생성문법학회 2019 생성문법연구 Vol.29 No.1
This paper investigates the motivation for criterial freezing: the ban on movement from a criterial position. Rizzi (2006) argues that criterial freezing is motivated by the duality of semantics and the economy condition on chain formation: a chain may only have one theta-role and one discourse property. On the other hand, Rizzi (2015) attributes criterial freezing to the labeling algorithm and the maximality principle. This paper’s objective is twofold. First, I demonstrate that the labeling algorithm-based criterial freezing is only applicable to overt movement given the standard assumption that the labeling algorithm is only applicable to an element with phonological features. Second, I extend the semantic-based criterial freezing of Rizzi (2006) and argue that criterial freezing is sensitive to exhaustive satisfaction of criterial features; this feature-based criterial freezing accounts for the fact that an element with multiple criterial features may covertly move from one criterial position to another.
Overview of JCGGDB including New Released GlycoProtDB
Toshihide Shikanai,Hiroyuki Kaji,Yoshinori Suzuki,Noriaki Fujita,Masako Maeda,HonglingWen,Madoka Ishizaki,Hiromichi Sawaki,Hisashi Narimatsu. 한국당과학회 2012 한국당과학회 학술대회 Vol.2012 No.1
The JST/NBDC integrated database project has kicked off last year. JCGGDB was selected as a promotion program of DB integration, aiming to integrate all the glycan-related databases in Japan and build user- friendly search systems. As part of the project, the construction of ACGG-DB (an integrated database for the ACGG: Asian Communications for Glycobiology and Glycotechnology) is also planned in cooperation with Asian countries. As of now we have consolidated data from various Japanese institutes into JCGGDB and developed a cross-search function by keyword entry and integrated search functions by glycan stcurctures. These functions enabled users to easily access various glycan-related databases with a single search. Cheminformatics technologies using chemical structural formula for glycan has been also adopted to provide a search for glycan structures, glycan synthetic products by organic chemistry and recombinant enzymes, glycogene inhibitors, glycosides, and commercial glycans. This Summer, we have released AIST GlycoProtDB, which stores the data of experimentally-proven glycosylation sites on each mouse tissue. We are continuously accumulating experimental results of glycosylation sites, while collecting more information from scientific journals, toward the release of ACGG Glycoprotein Database in autumn. For the future, we will keep developing base technologies for DB integration and linking with databases related to glycoscience as well as other study areas. Some more bioinformatics tools are also being developed to support experimental study. Our aim is to create contents which could be easily and intuitively understood by every user.