opennlp

There are several good taggers around. I even asked a question creating own tagger , I have got another requirement now. In Python I was using topia and it seemed a great choice for job (fast and concise). But there is no such alternative in Java,I could find. Now, I have three questions related to this : 1)Is there any term extractor/pos tagger in Java which is based on FSM? 2) Is FSM tagger "CAN BE" more efficient (I know it is way faster, but accuracy) than corpus based taggers? 3) How Do I start building One in Java? Any basic guide creating machine extracting pos tags from sentence :-

I am using OpenNLP models for Name-entity recognition. I am passing sentences, in which I want to identify words. Open NLP requires a String [] variable, hence I split my String into words separated by space. I am facing the problem to recognize the Date. If for example the string contains the date: 7 Jan 2012 and I split the string into words, "7", "Jan" and "2012" get separated as 3 different words. Although they are recognized as dates but the 3 different tokens don't make sense for me for further processing. How can I possibly split my string, so that "2 Jan 2012" can be taken as one

I am using the NLP package to parse sentences. How can I extract an element from the Tree output that is created? For example I'd like to grab the Noun Phrases ( NP ) from the example below: library(NLP) library(openNLP) s <- c( "Really, I like chocolate because it is good.", "Robots are rather evil and most are devoid of decency" ) s <- as.String(s) sent_token_annotator <- Maxent_Sent_Token_Annotator() word_token_annotator <- Maxent_Word_Token_Annotator() a2 <- annotate(s, list(sent_token_annotator, word_token_annotator)) parse_annotator <- Parse_Annotator() p <- parse_annotator(s, a2) ptexts