analyzer

I'm working with a Lexical Analyzer program right now and I'm using Java. I've been researching for answers on this problem but until now I failed to find any. Here's my problem: Input: System.out.println ("Hello World"); Desired Output: Lexeme----------------------Token System [Key_Word] . [Object_Accessor] out [Key_Word] . [Object_Accessor] println [Key_Word] ( [left_Parenthesis] "Hello World" [String_Literal] ) [right_Parenthesis] ; [statement_separator] I'm still a beginner so I hope you guys can help me on this. Thanks. You need neither ANTLR nor the Dragon book to write a simple lexical

I have a few elasticsearch fields that I don't want to analyze before indexing. I have read that the right way to do this is by altering the index mapping. Right now my mapping looks like this: { "test" : { "general" : { "properties" : { "message" : { "type" : "string" }, "source" : { "type" : "string" } } } } } And I would like it to look like this: { "test" : { "general" : { "properties" : { "message" : { "type" : "string", "index" : "not_analyzed" }, "source" : { "type" : "string" } } } } } I have been trying to change the settings via client.admin().indices().prepareCreate("test")

This question already has an answer here: Java OCR implementation [closed] 5 answers This is an interesting topic. Basically, I have an image that contains some text. How do I extract the text from the image? I have already tried many things, but everything I do is very tedious and usually does not work. I am simply wondering if there is a fairly easy way to do this. I have come upon this: http://sourceforge.net/projects/javaocr/ . I have tried this for hours, but I cannot get it to take an Image and turn it into a String of text from the image. Thank you all in advance! Josh Diehl You need to

Is there a simple way I could use any subclass of Lucene's Analyzer to parse/tokenize a String ? Something like: String to_be_parsed = "car window seven"; Analyzer analyzer = new StandardAnalyzer(...); List<String> tokenized_string = analyzer.analyze(to_be_parsed); As far as I know, you have to write the loop yourself. Something like this (taken straight from my source tree): public final class LuceneUtils { public static List<String> parseKeywords(Analyzer analyzer, String field, String keywords) { List<String> result = new ArrayList<String>(); TokenStream stream = analyzer.tokenStream(field,

Can someone please explain the difference between the different analyzers within Lucene? I am getting a maxClauseCount exception and I understand that I can avoid this by using a KeywordAnalyzer but I don't want to change from the StandardAnalyzer without understanding the issues surrounding analyzers. Thanks very much. ffriend In general, any analyzer in Lucene is tokenizer + stemmer + stop-words filter. Tokenizer splits your text into chunks, and since different analyzers may use different tokenizers, you can get different output token streams , i.e. sequences of chunks of text. For example,

I have some problems with my Hibernate Search analyzer configuration. One of my indexed entities ("Hospital") has a String field ("name") that could contain values with lengths from 1-40. I want to be able to find a entity by searching for just one character (because it could be possible, that a hospital has single character name). @Indexed(index = "HospitalIndex") @AnalyzerDef(name = "ngram", tokenizer = @TokenizerDef(factory = StandardTokenizerFactory.class), filters = { @TokenFilterDef(factory = StandardFilterFactory.class), @TokenFilterDef(factory = LowerCaseFilterFactory.class),