Rule Based Solution of Uyghur Future Tense Ambiguity

Abstract

This paper presents a rule based model for solving ambiguities of the Uyghur future tense. Uyghur is an agglutinative language and a root word can be followed by numerous suffixes simultaneously. Because of this reason, a character of a word may be changed with respect to the type of suffixes that it is has been affixed. In some cases, the analysis of suffixes is not sufficient to categorize the property of a word. This is especially the case with verbs and it is a critical problem in machine translation. Therefore, it is important to consider some other words in a sentence at the same time. In order to categorize verbs which appear in future tenses, some rules have been defined related to some specific words in the sentence and the performance of the model has been evaluated with some sentences.