| lr,9-2-P06-2001,bq | experiments , and trained with a little <term> | corpus | </term> of 100,000 <term> words </term> , the | #11236 After several experiments, and trained with a little corpus of 100,000 words, the system guesses correctly not placing commas with a precision of 96% and a recall of 98%. |
| lr,18-4-P06-2001,bq | using a bigger and a more homogeneous <term> | corpus | </term> to train , that is , a bigger <term> | #11300 Finally, we have shown that these results can be improved using a bigger and a more homogeneous corpus to train, that is, a bigger corpus written by one unique author. |
| lr,27-4-P06-2001,bq | </term> to train , that is , a bigger <term> | corpus | </term> written by one unique <term> author | #11309 Finally, we have shown that these results can be improved using a bigger and a more homogeneous corpus to train, that is, a bigger corpus written by one unique author. |
