The Design and Analysis of Computer Algorithms
The Design and Analysis of Computer Algorithms
The recognition capacity of local syntactic constraints
EACL '91 Proceedings of the fifth conference on European chapter of the Association for Computational Linguistics
Finite-state approximation of phrase structure grammars
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
Acquisition of lexical information: from a large textual Italian corpus
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 3
Finite-state parsing and disambiguation
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 2
Tagging French: comparing a statistical and a constraint-based method
EACL '95 Proceedings of the seventh conference on European chapter of the Association for Computational Linguistics
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Consulting a dictionary for the words of a given text provides multiple solutions, that is, ambiguities; thus, the sequence of words pilot studies could lead for example to:pilot: N singular, V infinitive, V (conjugated)studies: N plural, V (conjugated)pilot studies: N plural (compound).These informations could be organized in the form of a finite automaton such as:[see pdf for figure]The exploration of the context should provide clues that eliminate the non-relevant solutions. For this purpose we use local grammar constraints represented by finite automata. We have designed and implemented an algorithm which performs this task by using a large variety of linguistic constraints. Both the texts and the rules (or constraints) are represented in the same formalism, that is finite automata. Performing subtraction operations between text automata and constraint automata reduce the ambiguities. Experiments were performed on French texts with large scale dictionaries (one dictionary of 600.000 simple inflected forms and one dictionary of 150.000 inflected compunds). Syntactic patterns represented by automata, including shapes of compound nouns such as Noun followed by an Adjective (in gender-number agreement) (Cf 5.1), can be matched in texts.This process is thus an extension of the classic matching procedures because of the on-line dictionary consultation and because of the grammar constraints. It provides a simple and efficient indexing tool.