Abstract Claims Description Full Text

Abstract

A computer-based method and system for monolingual document development, which includes the steps of entering into a text editor input text in a source language, checking the input text against vocabulary source language constraints, and providing interactive feedback relating to the input text if non-constrained source language is present. The method and system also includes the steps of checking for syntactic grammatical errors and semantic ambiguities in the source text, and providing interactive feedback to remove syntactic grammatical errors and semantic ambiguities in the source text.

Other References

• Carbonell et al, "Knowledge-Based Machine Translation, the CMU Approach", Machine Translation--Theoretical and Methodological Issues
• Carbonell, Steps toward Knowledge-Based Machine Translation, IEEE Trans on Pattern Analysis and Machine Intelligence, No. 4 pp.376-392
• Eric H. Nyberg,3rd, "The FRAMEKIT User's Guide--Version 2.0", Carnegie Mellon Center for Machine Translation, Paper No. CMU-CMT-Memo
• The KBMT Project: A Case Study in Knowledge-Based Machine, Morgan Kaufmann Publishers, Inc. 1991
• "Lexicographic Principles & Design for Knowledge-Based Machine"--Paper No. CMU-CMT-90-118, Carnegie Mellon Center
• "An Efficient Interlingua Translation System for Multi-Document Production" Wash.D.C. Jul. 2-4, 1991
• Nirenburg, Acquisition of Very Large Knowledge Bases: Methodology, Tools and Applications, Carnegie Mellon, Paper No. CMU-CMT-88-108,Jun. 1988
• "Machine Translation: A Knowledge Based Approach", Morgan Publishers, Inc. 1992
• "An Introduction to Machine Translation", Academic Press
• "The Hierarchical Organization of Predicate Frames Mapping in Natural Language Proc", #CMU-CMT-90-117
• Tomita et al, "The Universal Parser Architecture for Knowledge-Based Machine Translation", Carnegie Mellon Center for Mach. Trans
• Tomita, "Generation Kit and Transformation Kit--Version 3.2--User's Manual", Carnegie Mellon Center for Mach Translation--#CMU-CMT-88-Memo
• Tomita, "The Generalized LR Parser/Compiler Version 8.1:User's Guide" Carnegie Mellon Center for Mach Translation, Paper No. CMU-CMT-88-Mem