Don't span reading kb message

README.md

@@ -1,14 +1,14 @@
 Stanford CoreNLP
 ================
 
-Stanford CoreNLP provides a set of natural language analysis tools written in Java. It can take raw human language text input and give the base forms of words, their parts of speech, whether they are names of companies, people, etc., normalize dates, times, and numeric quantities, and mark up the structure of sentences in terms of phrases and word dependencies, and indicate which noun phrases refer to the same entities. It was originally developed for English, but now also provides varying levels of support for Arabic, (mainland) Chinese, French, German, and Spanish. Stanford CoreNLP is an integrated framework, which make it very easy to apply a bunch of language analysis tools to a piece of text. Starting from plain text, you can run all the tools on it with just two lines of code. Its analyses provide the foundational building blocks for higher-level and domain-specific text understanding applications. Stanford CoreNLP is a set of stable and well-tested natural language processing tools, widely used by various groups in academia, government, and industry.
+Stanford CoreNLP provides a set of natural language analysis tools written in Java. It can take raw human language text input and give the base forms of words, their parts of speech, whether they are names of companies, people, etc., normalize dates, times, and numeric quantities, and mark up the structure of sentences in terms of phrases and word dependencies, and indicate which noun phrases refer to the same entities. It was originally developed for English, but now also provides varying levels of support for Arabic, (mainland) Chinese, French, and German. Stanford CoreNLP is an integrated framework, which make it very easy to apply a bunch of language analysis tools to a piece of text. Starting from plain text, you can run all the tools on it with just two lines of code. Its analyses provide the foundational building blocks for higher-level and domain-specific text understanding applications. Stanford CoreNLP is a set of stable and well-tested natural language processing tools, widely used by various groups in academia, government, and industry.
 
-The Stanford CoreNLP code is written in Java and licensed under the GNU General Public License (v3 or later). Note that this is the full GPL, which allows many free uses, but not its use in proprietary software that you distribute.
+The Stanford CoreNLP code is written in Java and licensed under the GNU General Public License (v3 or later). Note that this is the full GPL, which allows many free uses, but not its use in distributed proprietary software.
 
 You can find releases of Stanford CoreNLP on [Maven Central](http://search.maven.org/#browse%7C11864822).
 
-You can find more explanation and documentation on [the Stanford CoreNLP homepage](http://nlp.stanford.edu/software/corenlp.shtml#Demo).
+You can find more explanation and documentation of Stanford CoreNLP on [the Stanford CoreNLP homepage](http://nlp.stanford.edu/software/corenlp.shtml#Demo).
 
-The most recent models associated with the code in the HEAD of this repository can be found [here](http://nlp.stanford.edu/software/stanford-corenlp-models-current.jar).
+The most recent models associated the code in this repository can be found [here](http://nlp.stanford.edu/software/stanford-corenlp-models-current.jar).
 
 For information about making contributions to Stanford CoreNLP, see the file `CONTRIBUTING.md`.

build.xml

@@ -107,8 +107,6 @@
         <compilerarg value="-Xmaxwarns"/>
         <compilerarg value="10000"/> -->
     </javac>
-    <copy file="${source.path}/edu/stanford/nlp/trees/ENUniversalPOS.tsurgeon"
-         todir="${build.path}/edu/stanford/nlp/trees/" />
   </target>
 
   <target name="test" depends="classpath,compile"

itest/src/edu/stanford/nlp/international/spanish/SpanishTokenizerITest.java

@@ -65,7 +65,7 @@ public class SpanishTokenizerITest extends TestCase {
 
   public void testSpanishTokenizerWord() {
     assert (ptbInputs.length == ptbGold.length);
-    final TokenizerFactory<CoreLabel> tf = SpanishTokenizer.ancoraFactory();
+    final TokenizerFactory<CoreLabel> tf = SpanishTokenizer.coreLabelFactory();
     tf.setOptions("");
     tf.setOptions("tokenizeNLs");
 

itest/src/edu/stanford/nlp/ling/tokensregex/TokenSequenceMatcherITest.java

@@ -1,5 +1,6 @@
 package edu.stanford.nlp.ling.tokensregex;
 
+import edu.stanford.nlp.io.IOUtils;
 import edu.stanford.nlp.ling.CoreAnnotations;
 import edu.stanford.nlp.pipeline.*;
 import edu.stanford.nlp.util.CoreMap;
@@ -8,8 +9,10 @@
 import edu.stanford.nlp.util.Timing;
 import junit.framework.TestCase;
 
+import java.io.File;
 import java.io.IOException;
 import java.util.ArrayList;
+import java.util.Arrays;
 import java.util.Iterator;
 import java.util.List;
 import java.util.Map;
@@ -1523,5 +1526,4 @@ public void testCaseInsensitive2(){
     boolean match = m.find();
     assertTrue(match);
   }
-
 }