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import org.apache.log4j.Level; import org.apache.log4j.Logger; <<<<<<< HEAD ======= import edu.stanford.nlp.util.StringUtils; >>>>>>> be3f78e92cd021eb6a3729aacd9558b0a0625a64 import edu.umd.cloud9.io.map.HMapIFW; import edu.umd.cloud9.io.map.HMapSFW; import edu.umd.cloud9.io.map.HMapSIW; |
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import org.apache.log4j.Level; import org.apache.log4j.Logger; import edu.stanford.nlp.util.StringUtils; import edu.umd.cloud9.io.map.HMapIFW; import edu.umd.cloud9.io.map.HMapSFW; import edu.umd.cloud9.io.map.HMapSIW; |
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| CLIRUtils.java |
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* This method converts the output of GIZA into a TTable_monolithic_IFAs object. * For each source language term, top numTrans entries (with highest translation probability) are kept, unless the top K < numTrans entries have a cumulatite probability above probThreshold. * <<<<<<< HEAD * @param inputFile * output of GIZA (probability values from source language to target language. In GIZA, format of each line should be: * [target-word1] [source-word] [prob1] * [target-word2] [source-word] [prob2] ======= * @param filename * output of GIZA (probability values from source language to target language. In GIZA, format of each line should be: * [target-word1] [source-word] [prob1] * [target-word2] [source-word] [prob2] >>>>>>> be3f78e92cd021eb6a3729aacd9558b0a0625a64 * ... * @param srcVocabFile * path where created source vocabulary (VocabularyWritable) will be written |
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* This method converts the output of GIZA into a TTable_monolithic_IFAs object. * For each source language term, top numTrans entries (with highest translation probability) are kept, unless the top K < numTrans entries have a cumulatite probability above probThreshold. * * @param filename * output of GIZA (probability values from source language to target language. In GIZA, format of each line should be: * [target-word1] [source-word] [prob1] * [target-word2] [source-word] [prob2] * ... * @param srcVocabFile * path where created source vocabulary (VocabularyWritable) will be written |
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| CLIRUtils.java |
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