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Öğe Computational detection of Uyghur multiword expressions(2011) Orhun, M.This paper describes some important properties of Uyghur multiword expressions (MWEs). MWEs are significantly difficult to handle in any languages for natural language processing. There are many sub-fields in natural language studies such as automatic word correction, sentence correction, sentence fragmentation, machine translation, bilingual MWEs alignment and text mining etc. In all these fields, it is very important to detect a word in a sentence correctly. By their structure, MWEs are very complex and difficult to be defined or identified properly. In general, MWEs consists of more than one word or phrases. In some cases, these words that create a MWE are written together as a single (compound) word, however sometimes these words are written separately as completely different words (non-compound) each other. In this paper, Uyghur MWEs are analyzed by their structure and some practical approaches suggested detecting them effectively at the initial stage. End of this paper, these approaches evaluated some scientific results and given some general for future studies. © 2011 IEEE.Öğe Morphological disambiguation rules for uyghur language(2010) Orhun, M.; Tantu?, A.C.; Adali, E.In this paper, we present a rule based model for morphological disambiguation of Uyghur language. Morphological ambiguity is a challenging problem for agglutinative languages. Because there is a possibility a word takes unlimited number of suffixes. If that language has more suffixes, then the ambiguity problem gets more complex. Uyghur language is one of Turkic language that has more and complicated suffixes. At present we have defined some rules to disambiguate Uyghur morphology respecting to modern Uyghur language grammar. As a natural language, there are many cases exist and the researches in progress on more specific cases. © 2010 IEEE.
