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Joshua
open source statistical hierarchical phrase-based machine translation system
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| addInLogSemiring(double x, double y, int addMode) | joshua.decoder.NbestMinRiskReranker | [private, static] |
| bleuOrder | joshua.decoder.NbestMinRiskReranker | [package, static] |
| computeExpectedGain(int curHypLen, HashMap< String, Integer > curHypNgramTbl, List< HashMap< String, Integer >> ngramTbls, List< Integer > sentLens, List< Double > nbestProbs) | joshua.decoder.NbestMinRiskReranker | |
| computeExpectedGain(String curHyp, List< String > nbestHyps, List< Double > nbestProbs) | joshua.decoder.NbestMinRiskReranker | [static] |
| computeExpectedLinearCorpusGain(int curHypLen, HashMap< String, Integer > curHypNgramTbl, HashMap< String, Double > posteriorCountsTbl) | joshua.decoder.NbestMinRiskReranker | [package] |
| computeNormalizedProbs(List< Double > nbestLogProbs, double scalingFactor) | joshua.decoder.NbestMinRiskReranker | [static] |
| doNgramClip | joshua.decoder.NbestMinRiskReranker | [package, static] |
| getGooglePosteriorCounts(List< HashMap< String, Integer >> ngramTbls, List< Double > normalizedProbs, HashMap< String, Double > posteriorCountsTbl) | joshua.decoder.NbestMinRiskReranker | [package] |
| main(String[] args) | joshua.decoder.NbestMinRiskReranker | [static] |
| NbestMinRiskReranker(boolean produceRerankedNbest, double scalingFactor) | joshua.decoder.NbestMinRiskReranker | |
| processOneSent(List< String > nbest, int sentID) | joshua.decoder.NbestMinRiskReranker | |
| produceRerankedNbest | joshua.decoder.NbestMinRiskReranker | [package] |
| resultsQueue | joshua.decoder.NbestMinRiskReranker | [package] |
| scalingFactor | joshua.decoder.NbestMinRiskReranker | [package] |
| useGoogleLinearCorpusGain | joshua.decoder.NbestMinRiskReranker | [package, static] |