We use the agreement checker code developed by Alkuhlani and Habash ( 2011 ) and evaluate our baseline ( MaltParser using only CORE12 ) , best performing model ( Easy-First Parser using CORE12 + DET+LMM+PERSON+FN * NGR g + p ) , and the gold reference .
a corpus for modeling morphosyntactic agreement in arabic gender number and rationality
Sarah Alkuhlani Nizar Habash
We now turn to our second type of error analysis , the evaluation of the grammaticality of the parse trees in terms of gender and number agreement patterns . We use the agreement checker code developed by Alkuhlani and Habash ( 2011 ) and evaluate our baseline ( MaltParser using only CORE12 ) , best performing model ( Easy-First Parser using CORE12 + DET+LMM+PERSON+FN * NGR g + p ) , and the gold reference . The agreement checker verifies , for all verb -- nominal subject relations and noun -- adjective relations found in the tree , whether the agreement conditions are met or not .
We use the agreement checker code developed by @@CITATION and evaluate our baseline ( MaltParser using only CORE12 ) , best performing model ( Easy-First Parser using CORE12 + DET+LMM+PERSON+FN * NGR g + p ) , and the gold reference .