/*
* Copyright 2016
* 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.nlp4j;
import static org.apache.uima.fit.factory.AnalysisEngineFactory.createEngineDescription;
import org.apache.uima.analysis_engine.AnalysisEngineDescription;
import org.junit.Rule;
import org.junit.Test;
import de.tudarmstadt.ukp.dkpro.core.testing.DkproTestContext;
import de.tudarmstadt.ukp.dkpro.core.testing.harness.SegmenterHarness;
public class Nlp4JSegmenterTest
{
@Test
public void runHarness()
throws Throwable
{
AnalysisEngineDescription aed = createEngineDescription(Nlp4JSegmenter.class);
SegmenterHarness.run(aed, "de.1", "de.2", "de.3", "de.4", "en.1", "en.7", "en.9",
"ar.1", "zh.1", "zh.2");
}
@Test
public void testZoning() throws Exception
{
SegmenterHarness.testZoning(Nlp4JSegmenter.class);
}
@Rule
public DkproTestContext testContext = new DkproTestContext();
}