Using Machine Learning Techniques to Build a Comma Checker for Basque

In this paper, we describe the research using machine learning techniques to build a comma checker to be integrated in a grammar checker for Basque. After several experiments, and trained with a little corpus of 100,000 words, the sys tem guesses correctly not placing com mas with a precision of 96% and a re call of 98%. It also gets a precision of 70% and a recall of 49% in the task of placing commas. Finally, we have shown that these results can be im proved using a bigger and a more ho mogeneous corpus to train, that is, a bigger corpus written by one unique au thor.

• Type: Conference
• Year: 2006
• Where: ACL
• Authors: Iñaki Alegria, Bertol Arrieta, Arantza Díaz de Ilarraza Sánchez, Eli Izagirre, Montse Maritxalar
• Keywords: ACL 2006, ACL 2007, Comma Checker, Machine Learning Techniques, Sys Tem Guesses