Slot Grammar: A System for Simpler Construction of Practical Natural Language Grammars
Proceedings of the International Symposium on Natural Language and Logic
Computational Linguistics
A method for accelerating CFG-parsing by using dependency information
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
Pattern-based machine translation
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 2
Improving natural language processing by linguistic document annotation
Proceedings of the COLING-2000 Workshop on Semantic Annotation and Intelligent Content
Annotation-based multimedia summarization and translation
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
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Natural language processing (NLP) programs are confronted with various difficulties in processing HTML and XML documents, and have the potential to produce better results if linguistic information is annotated in the source texts. We have therefore developed the Linguistic Annotation Language (or LAL), which is an XML-compliant tag set for assisting natural language processing programs, and NLP tools such as parsers and machine translation programs which can accept LAL-annotated input. In addition, we have developed a LAL-annotation editor which allows users to annotate documents graphically without seeing tags. Further, we have conducted an experiment to check the translation quality improvement by using LAL annotation.