Memory-Based Shallow Parser (MBSP)
- Autoři
- Daelemans, Walter and Bosch, Antal van den
- Identifikátor
- http://hdl.handle.net/11372/LRT-1237
- URL projektu
- http://www.clips.ua.ac.be/pages/MBSP
- Datum vydání
- 2014-07-30
- Typ
- toolService
- Popis
- MBSP is a set of linguistic tools based on the TiMBL and MBT memory based learning applications developed at CNTS and ILK. It provides tools for Part of Speech tagging, Chunking, Lemmatizing, Relation Finding, Named Entity Recognition, and (for medical language) Semantic tagging.