Paper: An Annotation System For Enhancing Quality Of Natural Language Processing

ACL ID C02-2006
Title An Annotation System For Enhancing Quality Of Natural Language Processing
Venue International Conference on Computational Linguistics
Session project notes
Year 2002
Authors

Naturallanguageprocessing#28NLP#29programsare confronted with various di#0Eculties in processing HTML and XML documents, and have the po- tential to produce better results if linguistic infor- mation is annotated in the source texts. Wehave therefore developed the Linguistic Annotation Lan- guage #28orLAL#29, which is an XML-compliant tagset for assisting natural language processing programs, and NLP tools such as parsers and machine trans- lation 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. Fur- ther, we have conducted an experiment to check the translation quality improvementby using LAL annotation.