This paper reports on the ESPRIT project MELISSA (Methods and Tools for Natural-Language Interfacing with Standard Software Applications) ~. MELISSA aims at developing the technology and tools enabling end users to interface with computer applications, using natural-language (NL), and to obtain a precompetitive product validated in selected enduser applications. This paper gives an overview of the approach to solving (NL) interfacing problem and outlines some of the methods and software components developed in the project.
We describe a robust text-handling component, which can deal with free text in a wide range of formats and can successfully identify a wide range of phenomena, including chemical formulae, dates, numbers and proper nouns. The set of regular expressions used to capture numbers in written form ("sechsundzwanzig") in German is given as an example. Proper noun "candidates" are identified by means of regular expressions, these being then rejected or accepted on the basis of run-time interaction with the user. This tagging component is integrated in a large-scale grammar development environment, and provides direct input to the grammatical analysis component of the system by means of "lift" rules which convert tagged text into partial linguistic structures.
This paper reports on the ESPRIT project MELISSA (Methods and Tools for Natural-Language Interfacing with Standard Software Applications) ~. MELISSA aims at developing the technology and tools enabling end users to interface with computer applications, using natural-language (NL), and to obtain a precompetitive product validated in selected enduser applications. This paper gives an overview of the approach to solving (NL) interfacing problem and outlines some of the methods and software components developed in the project.
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