Murat Temizsoy


An ontology-based approach to parsing Turkish sentences
Murat Temizsoy | Ilya Cicekli
Proceedings of the Third Conference of the Association for Machine Translation in the Americas: Technical Papers

The main problem with natural language analysis is the ambiguity found in various levels of linguistic information. Syntactic analysis with word senses is frequently not enough to resolve all ambiguities found in a sentence. Although natural languages are highly connected to the real world knowledge, most of the parsing architectures do not make use of it effectively. In this paper, a new methodology is proposed for analyzing Turkish sentences which is heavily based on the constraints in the ontology. The methodology also makes use of morphological marks of Turkish which generally denote semantic properties. Analysis aims to find the propositional structure of the input utterance without constructing a deep syntactic tree, instead it utilizes a weak interaction between syntax and semantics. The architecture constructs a specific meaning representation on top of the analyzed propositional structure.

A Language-Independent System for Generating Feature Structures from Interlingua Representations
Murat Temizsoy | Ilyas Cicekli
Natural Language Generation