| other,12-2-P06-2001,bq | little <term> corpus </term> of 100,000 <term> | words | </term> , the system guesses correctly not | #11239 After several experiments, and trained with a little corpus of 100,000words, the system guesses correctly not placing commas with a precision of 96% and a recall of 98%. |
| measure(ment),29-2-P06-2001,bq | <term> precision </term> of 96 % and a <term> | recall | </term> of 98 % . It also gets a <term> precision | #11256 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 arecall of 98%. |
| measure(ment),10-3-P06-2001,bq | <term> precision </term> of 70 % and a <term> | recall | </term> of 49 % in the task of placing <term> | #11271 It also gets a precision of 70% and arecall of 49% in the task of placing commas. |
| tech,15-1-P06-2001,bq | learning techniques </term> to build a <term> | comma checker | </term> to be integrated in a <term> grammar | #11215 In this paper, we describe the research using machine learning techniques to build acomma checker to be integrated in a grammar checker for Basque. |
| measure(ment),4-3-P06-2001,bq | recall </term> of 98 % . It also gets a <term> | precision | </term> of 70 % and a <term> recall </term> of | #11265 It also gets aprecision of 70% and a recall of 49% in the task of placing commas. |
| tech,22-1-P06-2001,bq | checker </term> to be integrated in a <term> | grammar checker | </term> for <term> Basque </term> . After several | #11222 In this paper, we describe the research using machine learning techniques to build a comma checker to be integrated in agrammar checker for Basque. |
| measure(ment),23-2-P06-2001,bq | not placing <term> commas </term> with a <term> | precision | </term> of 96 % and a <term> recall </term> of | #11250 After several experiments, and trained with a little corpus of 100,000 words, the system guesses correctly not placing commas with aprecision of 96% and a recall of 98%. |
| 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 biggercorpus written by one unique author. |
| other,25-1-P06-2001,bq | in a <term> grammar checker </term> for <term> | Basque | </term> . After several experiments , and | #11225 In this paper, we describe the research using machine learning techniques to build a comma checker to be integrated in a grammar checker forBasque. |
| 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 homogeneouscorpus to train, that is, a bigger corpus written by one unique author. |
| 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 littlecorpus of 100,000 words, the system guesses correctly not placing commas with a precision of 96% and a recall of 98%. |
| other,20-2-P06-2001,bq | system guesses correctly not placing <term> | commas | </term> with a <term> precision </term> of 96 | #11247 After several experiments, and trained with a little corpus of 100,000 words, the system guesses correctly not placingcommas with a precision of 96% and a recall of 98%. |
| other,19-3-P06-2001,bq | </term> of 49 % in the task of placing <term> | commas | </term> . Finally , we have shown that these | #11280 It also gets a precision of 70% and a recall of 49% in the task of placingcommas. |
| other,32-4-P06-2001,bq | corpus </term> written by one unique <term> | author | </term> . This paper presents an <term> unsupervised | #11314 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 uniqueauthor. |
| tech,9-1-P06-2001,bq | paper , we describe the research using <term> | machine learning techniques | </term> to build a <term> comma checker </term> | #11209 In this paper, we describe the research usingmachine learning techniques to build a comma checker to be integrated in a grammar checker for Basque. |
