Multilingual Openmind
نویسندگان
چکیده
The need for more effective communication across different countries has increased as the interactions between them have been growing. Communication is still difficult because of both language differences and cultural differences. Although there have been many attempts to meet the communication need on the level of language with machine translators and dictionaries, many problems related with cultural or conceptual differences still remain. In this thesis, I propose to build and use Multilingual Openmind, a network of common sense database from several countries and languages, to solve the problems. First, I enumerate the weakness of current translation assistant tools: the limited scale of bilingual corpora; the limits of word-to-word mapping resulted from the differences of conceptual borders; and the lack of cultural contexts. Next, I discuss new approaches to solve the problems and their required features: continuously updated multilingual corpora, context-based method using common sense knowledge databases, relation-torelation mapping, and inference algorithms. Finally, I propose the design of Multilingual Openmind, which enables new approaches and features discussed above.
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تاریخ انتشار 2005