diff --git a/src/main/java/org/apache/commons/text/similarity/SorensenDiceSimilarity.java b/src/main/java/org/apache/commons/text/similarity/SorensenDiceSimilarity.java
new file mode 100644
index 0000000000..3121bdc2f1
--- /dev/null
+++ b/src/main/java/org/apache/commons/text/similarity/SorensenDiceSimilarity.java
@@ -0,0 +1,146 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.commons.text.similarity;
+
+import java.util.ArrayList;
+import java.util.Collection;
+import java.util.List;
+import java.util.function.Function;
+
+import org.apache.commons.lang3.StringUtils;
+
+/**
+ * A similarity algorithm indicating the percentage of matched characters
+ * between two character sequences.
+ *
+ * <p>
+ * The S&#248;rensen-Dice coefficient is a statistic used for comparing the
+ * similarity of two samples. It was independently developed by the botanists
+ * Thorvald S&#248;rensen and Lee Raymond Dice, who published in 1948 and 1945
+ * respectively. The index is known by several other names, especially
+ * S&#248;rensen-Dice index, S&#248;rensen index and Dice's coefficient. Other
+ * variations include the "similarity coefficient" or "index", such as Dice
+ * similarity coefficient (DSC).
+ * </p>
+ *
+ * <p>
+ * This implementation is based on the S&#248;rensen-Dice similarity algorithm
+ * from <a href=
+ * "http://en.wikipedia.org/wiki/S%C3%B8rensen%E2%80%93Dice_coefficient">
+ * http://en.wikipedia.org/wiki/S%C3%B8rensen%E2%80%93Dice_coefficient</a>.
+ *
+ *
+ * </p>
+ *
+ * @since 1.7
+ */
+public class SorensenDiceSimilarity implements SimilarityScore<Double> {
+
+    /**
+     * For shifting bigrams to fit in single integer.
+     */
+    private static final int SHIFT_NUMBER = 16;
+
+    /**
+     * Converter function for conversion of string to bigrams.
+     */
+    private final Function<CharSequence, Collection<Integer>> converter = new SorensenDiceConverter();
+
+    /**
+     * Measures the overlap of two sets created from a pair of character sequences.
+     * {@link OverlapSimilarity}}
+     */
+    private final IntersectionSimilarity<Integer> similarity = new IntersectionSimilarity<>(this.converter);
+
+    /**
+     * Calculates Sorensen-Dice Similarity of two character sequences passed as
+     * input.
+     *
+     * <pre>
+     * similarity.apply(null, null)                 = IllegalArgumentException
+     * similarity.apply("foo", null)                = IllegalArgumentException
+     * similarity.apply(null, "foo")                = IllegalArgumentException
+     * similarity.apply("night", "nacht")           = 0.25
+     * similarity.apply("", "")                     = 1.0
+     * similarity.apply("foo", "foo")               = 1.0
+     * similarity.apply("foo", "foo ")              = 0.8
+     * similarity.apply("foo", "foo ")              = 0.66
+     * similarity.apply("foo", " foo ")             = 0.66
+     * similarity.apply("foo", " foo")              = 0.66
+     * similarity.apply("", "a")                    = 0.0
+     * similarity.apply("aaapppp", "")              = 0.0
+     * similarity.apply("frog", "fog")              = 0.4
+     * similarity.apply("fly", "ant")               = 0.0
+     * similarity.apply("elephant", "hippo")        = 0.0
+     * similarity.apply("hippo", "elephant")        = 0.0
+     * similarity.apply("hippo", "zzzzzzzz")        = 0.0
+     * similarity.apply("hello", "hallo")           = 0.5
+     * similarity.apply("ABC Corporation", "ABC Corp") = 0.7
+     * similarity.apply("D N H Enterprises Inc", "D &amp; H Enterprises, Inc.") = 0.74
+     * similarity.apply("My Gym Children's Fitness Center", "My Gym. Childrens Fitness") = 0.81
+     * similarity.apply("PENNSYLVANIA", "PENNCISYLVNIA") = 0.69
+     * </pre>
+     *
+     * @param left  the first CharSequence, must not be null
+     * @param right the second CharSequence, must not be null
+     * @return result similarity
+     * @throws IllegalArgumentException if either CharSequence input is {@code null}
+     */
+    @Override
+    public Double apply(final CharSequence left, final CharSequence right) {
+
+        if (left == null || right == null) {
+            throw new IllegalArgumentException("CharSequences must not be null");
+        }
+
+        if (StringUtils.equals(left, right)) {
+            return 1d;
+        }
+
+        // if bigram is not formed out of any given string, clearly both are not similar.
+        if (left.length() < 2 || right.length() < 2) {
+            return 0d;
+        }
+
+        IntersectionResult overlap = similarity.apply(left, right);
+
+        final int total = overlap.getSizeA() + overlap.getSizeB();
+        final long intersection = overlap.getIntersection();
+
+        return (2.0d * intersection) / total;
+    }
+
+    /**
+     * Converter class for creating Bigrams for SorensenDice similarity.
+     */
+    private static class SorensenDiceConverter implements Function<CharSequence, Collection<Integer>> {
+        @Override
+        public Collection<Integer> apply(CharSequence cs) {
+            final int length = cs.length();
+            final List<Integer> list = new ArrayList<>(length);
+            if (length > 1) {
+                char ch2 = cs.charAt(0);
+                for (int i = 1; i < length; i++) {
+                    final char ch1 = ch2;
+                    ch2 = cs.charAt(i);
+                    list.add(Integer.valueOf((ch1 << SHIFT_NUMBER) | ch2));
+                }
+            }
+            return list;
+        }
+    }
+}
diff --git a/src/test/java/org/apache/commons/text/similarity/SorensenDiceSimilarityTest.java b/src/test/java/org/apache/commons/text/similarity/SorensenDiceSimilarityTest.java
new file mode 100644
index 0000000000..3d59823ea0
--- /dev/null
+++ b/src/test/java/org/apache/commons/text/similarity/SorensenDiceSimilarityTest.java
@@ -0,0 +1,94 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.commons.text.similarity;
+
+import static org.assertj.core.api.Assertions.assertThatIllegalArgumentException;
+import static org.junit.jupiter.api.Assertions.assertEquals;
+
+import org.junit.jupiter.api.BeforeAll;
+import org.junit.jupiter.api.Test;
+
+/**
+ * Unit tests for {@link SorensenDicesSimilarity}.
+ */
+public class SorensenDiceSimilarityTest {
+
+    private static SorensenDiceSimilarity similarity;
+
+    @BeforeAll
+    public static void setUp() {
+        similarity = new SorensenDiceSimilarity();
+    }
+
+    @Test
+    public void test() {
+        assertEquals(0.25d, similarity.apply("night", "nacht"));
+    }
+
+    @Test
+    public void testGetSorensenDicesSimilarity_StringString() {
+
+        assertEquals(1d, similarity.apply("", ""));
+        assertEquals(0d, similarity.apply("", "a"));
+        assertEquals(0d, similarity.apply("a", ""));
+        assertEquals(1d, similarity.apply("a", "a"));
+        assertEquals(0d, similarity.apply("a", "b"));
+        assertEquals(1.0d, similarity.apply("foo", "foo"));
+        assertEquals(0.8d, similarity.apply("foo", "foo "));
+        assertEquals(0.4d, similarity.apply("frog", "fog"));
+        assertEquals(0.0d, similarity.apply("fly", "ant"));
+        assertEquals(0.0d, similarity.apply("elephant", "hippo"));
+        assertEquals(0.0d, similarity.apply("hippo", "elephant"));
+        assertEquals(0.0d, similarity.apply("hippo", "zzzzzzzz"));
+        assertEquals(0.5d, similarity.apply("hello", "hallo"));
+        assertEquals(0.7d, round(similarity.apply("ABC Corporation", "ABC Corp"), 1));
+        assertEquals(0.7d, round(similarity.apply("D N H Enterprises Inc", "D &amp; H Enterprises, Inc."), 1));
+        assertEquals(0.8d,
+                round(similarity.apply("My Gym Children's Fitness Center", "My Gym. Childrens Fitness"), 1));
+        assertEquals(0.7d, round(similarity.apply("PENNSYLVANIA", "PENNCISYLVNIA"), 1));
+        assertEquals(0.9d, round(similarity.apply("/opt/software1", "/opt/software2"), 1));
+        assertEquals(0.6d, round(similarity.apply("aaabcd", "aaacdb"), 1));
+        assertEquals(0.6d, round(similarity.apply("John Horn", "John Hopkins"), 1));
+
+    }
+
+    @Test
+    public void testGetSorensenDicesSimilarity_NullNull() {
+        assertThatIllegalArgumentException().isThrownBy(() -> {
+            similarity.apply(null, null);
+        });
+    }
+
+    @Test
+    public void testGetSorensenDicesSimilarity_StringNull() {
+        assertThatIllegalArgumentException().isThrownBy(() -> {
+            similarity.apply(" ", null);
+        });
+    }
+
+    @Test
+    public void testGetSorensenDicesSimilarity_NullString() {
+        assertThatIllegalArgumentException().isThrownBy(() -> {
+            similarity.apply(null, "clear");
+        });
+    }
+
+    public static double round(double value, int precision) {
+        int scale = (int) Math.pow(10, precision);
+        return (double) Math.round(value * scale) / scale;
+    }
+}