So we have been using LT for some time now and we have a few questions. We we have LT installed on a local environment and are testing the rules individually.
While testing the Article usage rules in the grammar.xml, we discovered that the system is able to change the wrong usage of articles (i.e. “a” used incorrectly in place of “an” and vice-e-versa) very accurately, however, for inserting missing articles it has very low success ratio. And there is no provision for unwanted articles.
Is there any specific reason that there are not many rules for insertion of articles? Can we create/add more rules that increase the current success percent of insertion of articles?
Note: We have referred to previous posts on this issue, and do know that some work has been done on this aspect.
Also, we noticed that OpenNLP system does not identify proper nouns in many cases (as compared to Stanford CoreNLP) and has separate tags for uncountable nouns, is there any way that this identification percentage be improved?