To address this issue , we use a version of the PATB3 training and dev sets manually annotated with functional gender , number , and rationality ( Alkuhlani and Habash 2011 ) .18 This is the first resource providing all three features ( ElixirFm only provides functional number , and to some extent functional gender ) .
a corpus for modeling morphosyntactic agreement in arabic gender number and rationality
Sarah Alkuhlani Nizar Habash
The ElixirFM lexical resource used previously provided functional NUMBER feature values but no functional GENDER values , nor RAT ( rationality , or humanness ) values . To address this issue , we use a version of the PATB3 training and dev sets manually annotated with functional gender , number , and rationality ( Alkuhlani and Habash 2011 ) .18 This is the first resource providing all three features ( ElixirFm only provides functional number , and to some extent functional gender ) . We conducted experiments with gold features to assess the potential of these features , and with predicted features , obtained from training a simple maximum likelihood estimation classifier on this resource ( Alkuhlani and Habash 2012 ) .19 The first part of Table 8 shows that the RAT ( rationality ) feature is very relevant ( in gold ) , but suffers from low accuracy ( no gains in machine-predicted input ) .
To address this issue , we use a version of the PATB3 training and dev sets manually annotated with functional gender , number , and rationality ( @@CITATION ) .18 This is the first resource providing all three features ( ElixirFm only provides functional number , and to some extent functional gender ) .