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Lexicalized Syntactic Analysis by Two-Way Restarting Automata

Publication at Faculty of Mathematics and Physics |
2021

Abstract

We study h-lexicalized two-way restarting automata that can rewrite at most i times per cycle for some i >= 1 (hRLWW(i)-automata). This model is useful for the study of lexical (syntactic) disambiguation, which is a concept from linguistics that is based on certain reduction patterns.

We study lexical disambiguation through the formal notion of h-lexicalized syntactic analysis (hLSA). The hLSA is a relation between a basic language and the corresponding h-proper language, which is obtained from the basic language by mapping all basic symbols to input symbols.

We stress the sensitivity of hLSA by hRLWW(i)-automata to the size of the window, the number of possible rewrites per cycle, and the degree of (non-)monotonicity of these automata. We introduce the concepts of contextually transparent languages and contextually transparent lexicalized analyses based on very special reduction patterns, and we present two-dimensional hierarchies of their subclasses based on the size of the window and on the degree of monotonicity.

The bottoms of these hierarchies correspond to the regular and the context-free languages. The class of contextually transparent languages forms a proper subclass of the class of context-sensitive languages with syntactically natural properties.