Collaborative learning is a complex process during which two or more learners exchange opinions, construct shared knowledge, and solve problems together. While engaging in this interactive process, learners' satisfaction toward their partners plays a crucial role in defining the success of the collaboration. If intelligent systems could predict…

This paper describes a computerized system for tagging language corpora that accommodates the special conditions in Bulgarian language research (notably, lack of advanced technology and corresponding user knowledge). SUPERLINGUA has been developed in the DOS environment with consideration for these conditions. Information on product use, users,…

The demand for extensive reusability of large language text collections for natural languages processing research requires development of standardized encoding formats. Such formats must be capable of representing different kinds of information across the spectrum of text types and languages, capable of representing different levels of…

An experiment compared the tagging of two languages: Czech, a highly inflected language with a high degree of ambiguity, and English. For Czech, the corpus was one gathered in the 1970s at the Czechoslovak Academy of Sciences; for English, it was the Wall Street Journal corpus. Results indicate 81.53 percent accuracy for Czech and 96.83 percent…

Trends and developments in computer applications in Chinese language research are described, focusing on these areas: input of Chinese characters and Chinese corpus; automatic segmentation of Chinese written text in corpus; development of a grammar knowledge base for Chinese words to be used as a resource for text segmentation and corpus…