The effectiveness of parsers based on manually created resources, namely a grammar and a lexicon, rely mostly on the quality of these resources. Thus, increasing the parser coverage and precision usually implies improving these two resources. Their manual improvement is a time consuming and complex task : identifying which resource is the true culprit for a given mistake is not always obvious, as well as finding the mistake and correcting it. Some techniques, like van Noord (2004) or Sagot and Villemonte de La Clergerie (2006), bring a convenient way to automatically identify forms having potentially erroneous entries in a lexicon. We have integrated and extended such techniques in a wider process which, thanks to the grammar ability to tell how these forms could be used as part of correct parses, is able to propose lexical corrections for the identified entries. We present in this paper an implementation of this process and discuss the main results we have obtained on a syntactic wid...
Lionel Nicolas, Benoît Sagot, Miguel A. Moli