/* * Copyright 2012 * Ubiquitous Knowledge Processing (UKP) Lab * Technische Universität Darmstadt * * Licensed 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 de.tudarmstadt.ukp.dkpro.core.textnormalizer.frequency; import java.util.HashMap; import java.util.Map; import org.apache.uima.fit.descriptor.TypeCapability; /** * Takes a text and checks for umlauts written as "ae", "oe", or "ue" and normalizes them if they * really are umlauts depending on a frequency model. */ @TypeCapability( inputs = { "de.tudarmstadt.ukp.dkpro.core.api.segmentation.type.Token" }) public class UmlautNormalizer extends ReplacementFrequencyNormalizer_ImplBase { @Override public Map<String, String> getReplacementMap() { Map<String, String> replacementMap = new HashMap<String, String>(); replacementMap.put("ae", "ä"); replacementMap.put("oe", "ö"); replacementMap.put("ue", "ü"); replacementMap.put("Ae", "Ä"); replacementMap.put("Oe", "Ö"); replacementMap.put("Ue", "Ü"); return replacementMap; } }