Software tools are developed for computer realization of syntactic, semantic, and morphological models of natural language texts, using rule based programming. The tools are efficient for a language, which has free or...Software tools are developed for computer realization of syntactic, semantic, and morphological models of natural language texts, using rule based programming. The tools are efficient for a language, which has free order of words and developed morphological structure like Georgian. For instance, a Georgian verb has several thousand verb-forms. It is very difficult to express rules of morphological analysis by finite automaton and it will be inefficient as well. Resolution of some problems of full morphological analysis of Georgian words is impossible by finite automaton. Splitting of some Georgian verb-forms into morphemes requires non-deterministic search algorithm, which needs many backtrackings. To minimize backtrackings, it is necessary to put constraints, which exist among morphemes and verify them as soon as possible to avoid false directions of search. Software tool for syntactic analysis has means to reduce rules, which have the same members in different order. The authors used the tool for semantic analysis as well. Thus, proposed software tools have many means to construct efficient parser, test and correct it. The authors realized morphological and syntactic analysis of Georgian texts by these tools. In the presented paper, the authors describe the software tools and its application for Georgian language.展开更多
Story understanding is one of the important branches of natural languageunderstanding research in AI techlliques. The story understanding approachbased on Story Parsing Grammar (SPG) involves that SPG is used to rep-r...Story understanding is one of the important branches of natural languageunderstanding research in AI techlliques. The story understanding approachbased on Story Parsing Grammar (SPG) involves that SPG is used to rep-resent different abstracting processes of stories with different levels in storyunderstanding and that the story understanding process is converted to therecognition process of stories using the syntactic parser of SPG. This kind ofstory understanding is cal1ed story parsing. In this paper, firstly a subclassof SPG, called Weak Precedence SPG (WPSPG), is defined. Afterwards thesyntactic parsing algorithm of WPSPG is studied. An example of story parsingis also given.展开更多
文摘Software tools are developed for computer realization of syntactic, semantic, and morphological models of natural language texts, using rule based programming. The tools are efficient for a language, which has free order of words and developed morphological structure like Georgian. For instance, a Georgian verb has several thousand verb-forms. It is very difficult to express rules of morphological analysis by finite automaton and it will be inefficient as well. Resolution of some problems of full morphological analysis of Georgian words is impossible by finite automaton. Splitting of some Georgian verb-forms into morphemes requires non-deterministic search algorithm, which needs many backtrackings. To minimize backtrackings, it is necessary to put constraints, which exist among morphemes and verify them as soon as possible to avoid false directions of search. Software tool for syntactic analysis has means to reduce rules, which have the same members in different order. The authors used the tool for semantic analysis as well. Thus, proposed software tools have many means to construct efficient parser, test and correct it. The authors realized morphological and syntactic analysis of Georgian texts by these tools. In the presented paper, the authors describe the software tools and its application for Georgian language.
文摘Story understanding is one of the important branches of natural languageunderstanding research in AI techlliques. The story understanding approachbased on Story Parsing Grammar (SPG) involves that SPG is used to rep-resent different abstracting processes of stories with different levels in storyunderstanding and that the story understanding process is converted to therecognition process of stories using the syntactic parser of SPG. This kind ofstory understanding is cal1ed story parsing. In this paper, firstly a subclassof SPG, called Weak Precedence SPG (WPSPG), is defined. Afterwards thesyntactic parsing algorithm of WPSPG is studied. An example of story parsingis also given.
