/*
* 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;
}
}