A Corpus-Based Learning Method of Compound Noun Indexing Rules for Korean

In Korean information retrieval, compound nouns play an important role in improving precision in search experiments. There are two major approaches to compound noun indexing in Korean: statistical and linguistic. Each method, however, has its own shortcomings, such as limitations when indexing diverse types of compound nouns, over-generation of compound nouns, and data sparseness in training. In this paper, we propose a corpus-based learning method, which can index diverse types of compound nouns using rules automatically extracted from a large corpus. The automatic learning method is more portable and requires less human effort, although it exhibits a performance level similar to the manual-linguistic approach. We also present a new filtering method to solve the problems of compound noun over-generation and data sparseness.     

Have Changes in the SAT Affected Women's Mathematics performance?

How has the SAT changed in content and format? Why was it changed? How have changes to the mathematics test affected men's and women's performance?     

Basic skill requirements for selected Army occupational training courses

This study investigated the basic cognitive skills soldiers must possess before entering the Army, skills that are needed for successful completion of entry-level training. Judgments of 126 instructors from 25 military occupational specialties were obtained on 129 candidate skills, which resulted in the identification of 55 basic skills. Factor analysis of these 55 skill items resulted in 11 interpretable factors. Mean scores on the factors were compared across factors and across Army training schools. The results of the study suggest that, for all occupational specialties studied, skills related to the learning process are as crucial as traditional academic skills for successful training course completion. These results have important implications for training for the Army as well as for industry.