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Content available remote Left Random Context ET0L Grammars
EN
Consider ET0L grammars. Modify them such that a set of permitting symbols and a set of forbidding symbols are attached to each of their rules, just like in random context grammars. A rule like this can rewrite a symbol if each of its permitting symbols occurs to the left of the symbol to be rewritten in the current sentential form while each of its forbidding symbols does not occur there. ET0L grammars modified in this way are referred to as left random context ET0L grammars, and they represent the principal subject of the investigation in this paper. We prove that these grammars characterize the family of recursively enumerable languages, and without erasing rules, they characterize the family of context-sensitive languages. We also introduce a variety of special cases of these grammars and establish their generative power. In the conclusion, we put all the achieved results into the context of formal language theory as a whole and formulate several open questions.
2
Content available Parsing based on n-path tree - controlled grammars
EN
This paper discusses recently introduced kind of linguistically motivated restriction placed on tree-controlled grammars-context-free grammars with some root-to-leaf paths in their derivation trees restricted by a control language. We deal with restrictions placed on n greater-than or equal to 1 paths controlled by a deterministic context-free language, and we recall several basic properties of such a rewriting system. Then, we study the possibilities of corresponding parsing methods working in polynomial time and demonstrate that some non-context-free languages can be generated by this regulated rewriting model. Furthermore, we illustrate the syntax analysis of LL grammars with controlled paths. Finally, we briefly discuss how to base parsing methods on bottom-up syntax-analysis.
3
Content available remote Bag Context Tree Grammars
EN
We introduce bag context as a device for regulated rewriting in tree grammars. Bag context represents information that is not part of a developing tree, but instead evolves separately during a derivation. We present several results. First, we give some normal forms and equivalent formulations for bag context tree grammars. Then we compare bag context tree grammars to their random context counterparts. We show that bag context is strictly more powerful than random context; in doing so, we show that the class of bag context tree languages is the closure of the class of random context tree languages under linear top-down tree transductions. Finally, we consider the structural limitations of bag context tree grammars. We establish a necessary condition for languages generated by bag context tree grammars, and use it to present a tree language that cannot be generated by such a grammar. Moreover, we show that the class of bag context tree languages is incomparable with the class of branching synchronization tree languages.
EN
Based on a derivation mode f for cooperating distributed (CD) grammar systems, we introduce a new form of cooperation protocol, the so called "cut-f-mode" of derivation. Intuitively, in the cut-f-mode of derivation the sentential form is partitioned (cut) into several subwords, where some of these subwords are distributed to the components, which derive them according to the underlying f-mode of derivation, and finally the new sentential form is obtained by concatenating all the subwords-derived or not-in their original order. According to the original motivation from distributed artificial intelligence, the new functioning mode appears to be more realistic than the original model. We investigate the cut-mode versions of the basic derivation modes and some of their combined versions. It turns out that in most cases, the cut-f-mode is at most as powerful as the corresponding non-cut-mode, that is, the f-mode itself. In some cases the power is even reduced to that of context-free grammars.
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