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new 377a2cb Update of README.md
377a2cb is described below
commit 377a2cbd08c67e663982a27d0d79d5233f5f0686
Author: smarthi <[email protected]>
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.
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