Information Transfer through Online Summarizing and Translation Technology.

Autor: Seljan, Sanja, Klasnić, Ksenija, Stojanac, Mara, Pešorda, Barbara, Preradović, Nives Mikelić
Předmět:
Zdroj: INFuture Conference Proceedings; 2015, p197-210, 14p
Abstrakt: Information access - presented in proper language, in understandable way, at the right time and right place can be of considerable importance. Information and communication technology, wrapping also human language technologies, can play important role in information transfer to the specific user. Translation technology along with summarizing technology has opened new possibilities and perspectives, requiring in the same time the critical opinion in information analysis. The main purpose of this research is to present the impact of text summarization and online machine translation tools on information transfer. The research was performed on texts taken from online newspapers in five domains (politics, news, sport, film and gastronomy) in English, German and Russian languages. The total of N=240 evaluations were analysed, performed by the same three evaluators. In the research three types of assignments were made. The first assignment was to evaluate machine-translated sentences at the sentence level for the three language pairs (English-Croatian, German-Croatian and Russian-Croatan). In the second task, the similar evaluation was performed, but at the whole text level. In the third assignment, which was related to information transfer, the evaluators were asked to evaluate the overall quality of the texts process in the pipelined process (online summarization and online machine translation) for English and German. Assessment was based on the finding the answers to the following questions - who, what, when, where, and how? The results were analysed by ANOVA, t-test and binary logistic regression. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index