[opennlp] branch master updated: Update of README.md

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The following commit(s) were added to refs/heads/master by this push:
     new 377a2cb  Update of README.md
377a2cb is described below

commit 377a2cbd08c67e663982a27d0d79d5233f5f0686
Author: smarthi <sm...@apache.org>
AuthorDate: Mon Jul 3 17:25:17 2017 -0400

    Update of README.md
---
 README.md | 11 +++++++----
 1 file changed, 7 insertions(+), 4 deletions(-)

diff --git a/README.md b/README.md
index 19e3961..97b5336 100644
--- a/README.md
+++ b/README.md
@@ -27,18 +27,21 @@ Welcome to Apache OpenNLP!
 
 The Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text.
 
-This toolkit is written completly in Java and provides support for common NLP tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, coreference resolution and more!
+This toolkit is written completely in Java and provides support for common NLP tasks, such as tokenization,
+ sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing,
+  coreference resolution, language detection and more!
 
 These tasks are usually required to build more advanced text processing services.
 
-The goal of the OpenNLP project is to be a mature toolkit for the abovementioned tasks.
+The goal of the OpenNLP project is to be a mature toolkit for the above mentioned tasks.
 
 An additional goal is to provide a large number of pre-built models for a variety of languages, as
 well as the annotated text resources that those models are derived from.
 
-Currently, OpenNLP also includes common classifiers such as Maximum Entropy, Perceptron and Naive Bayes.
+Presently, OpenNLP includes common classifiers such as Maximum Entropy, Perceptron and Naive Bayes.
 
-OpenNLP can be used both programmatically through its Java API or from a terminal through its CLI.
+OpenNLP can be used both programmatically through its Java API or from a terminal through its CLI. 
+OpenNLP API can be easily plugged into distributed streaming data pipelines like Apache Flink, Apache NiFi, Apache Spark.
 
 ## Useful Links
        

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