Semi-Automatic Annotation Tool to Build Large Dependency Tree-Tagged Corpus
Eun-Jin Park, Jae‐Hoon Kim, Chang-Hyun Kim, Young Kil Kim · Institutional Repositories DataBase (IRDB) · 2007
Corpora annotated with lots of linguistic information are required to develop robust and statistical natural language processing systems.Building such corpora, however, is an expensive, labor-intensive, and time-consuming work.To help the work, we design and implement an annotation tool for establishing a Korean dependency tree-tagged corpus.Compared with other annotation tools, our tool is characterized by the following features: independence of applications, localization of errors, powerful error checking, instant annotated information sharing, user-friendly.Using our tool, we have annotated 100,904 Korean sentences with dependency structures.The number of annotators is 33, the average annotation time is about 4 minutes per sentence, and the total period of the annotation is 5 months.We are confident that we can have accurate and consistent annotations as well as reduced labor and time.