Abstract
This paper presents a method for resolving ambiguity in translating a list of content words (termlist), such as a query for information retrieval or a keyword list that represents a document. The entire translation begins with retrieving a potential translation alternatives for each input word from a bilingual dictionary. Our disambiguation method, then, chooses one translation for each input word in such a way that the resulting list of translations are most coherent or related. The relatedness of translations is defined as the proximity among multi-dimensional vectors produced from the words on the basis of co-occurrence statistics in the target langauge corpora. The method was applied to term-lists extracted from newspaper articles and achieved 77.4% translation accuracy for ambiguous words.
