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+/*******************************************************************************%0A * Copyright (c) 2010 Haifeng Li%0A *%0A * Licensed under the Apache License, Version 2.0 (the %22License%22);%0A * you may not use this file except in compliance with the License.%0A * You may obtain a copy of the License at%0A *%0A *     http://www.apache.org/licenses/LICENSE-2.0%0A *%0A * Unless required by applicable law or agreed to in writing, software%0A * distributed under the License is distributed on an %22AS IS%22 BASIS,%0A * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.%0A * See the License for the specific language governing permissions and%0A * limitations under the License.%0A *******************************************************************************/%0A%0Apackage smile.nlp.normalizer;%0A%0A/**%0A * Normalization transforms text into a canonical form by removing unwanted%0A * variations. Normalization may range from light textual cleanup such as%0A * compressing whitespace to more aggressive and knowledge-intensive forms%0A * like standardizing date formats or expanding abbreviations. The nature and%0A * extent of normalization, as well as whether it is most appropriate to apply%0A * on the document, sentence, or token level, must be determined in the context%0A * of a specific application.%0A *%0A * @author Mark Arehart%0A */%0Apublic interface Normalizer %7B%0A%0A    /**%0A     * Normalize the given string.%0A     */%0A    public String normalize(String text);%0A%7D%0A

Add nlp.normalizer.Normalizer interface