diff options
author | Avneesh Saluja <asaluja@gmail.com> | 2013-03-28 18:28:16 -0700 |
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committer | Avneesh Saluja <asaluja@gmail.com> | 2013-03-28 18:28:16 -0700 |
commit | 3d8d656fa7911524e0e6885647173474524e0784 (patch) | |
tree | 81b1ee2fcb67980376d03f0aa48e42e53abff222 /python/src/mteval.pxi | |
parent | be7f57fdd484e063775d7abf083b9fa4c403b610 (diff) | |
parent | 96fedabebafe7a38a6d5928be8fff767e411d705 (diff) |
fixed conflicts
Diffstat (limited to 'python/src/mteval.pxi')
-rw-r--r-- | python/src/mteval.pxi | 13 |
1 files changed, 10 insertions, 3 deletions
diff --git a/python/src/mteval.pxi b/python/src/mteval.pxi index 00355f96..436a1e01 100644 --- a/python/src/mteval.pxi +++ b/python/src/mteval.pxi @@ -93,6 +93,8 @@ cdef class CandidateSet: yield self[i] def add_kbest(self, Hypergraph hypergraph, unsigned k): + """cs.add_kbest(Hypergraph hypergraph, int k) -> Extract K-best hypotheses + from the hypergraph and add them to the candidate set.""" self.cs.AddKBestCandidates(hypergraph.hg[0], k, self.scorer.get()) cdef class SegmentEvaluator: @@ -103,15 +105,17 @@ cdef class SegmentEvaluator: del self.scorer def evaluate(self, sentence): + """se.evaluate(sentence) -> SufficientStats for the given hypothesis.""" cdef vector[WordID] hyp cdef SufficientStats sf = SufficientStats() sf.metric = self.metric sf.stats = new mteval.SufficientStats() - ConvertSentence(string(as_str(sentence.strip())), &hyp) + ConvertSentence(as_str(sentence.strip()), &hyp) self.scorer.get().Evaluate(hyp, sf.stats) return sf def candidate_set(self): + """se.candidate_set() -> Candidate set using this segment evaluator for scoring.""" return CandidateSet(self) cdef class Scorer: @@ -133,7 +137,7 @@ cdef class Scorer: cdef vector[WordID]* refv for ref in refs: refv = new vector[WordID]() - ConvertSentence(string(as_str(ref.strip())), refv) + ConvertSentence(as_str(ref.strip()), refv) refsv.push_back(refv[0]) del refv cdef unsigned i @@ -173,7 +177,8 @@ cdef class Metric: cdef Scorer scorer def __cinit__(self): self.scorer = Scorer() - self.scorer.name = new string(as_str(self.__class__.__name__)) + cdef bytes class_name = self.__class__.__name__ + self.scorer.name = new string(class_name) self.scorer.metric = mteval.PyMetricInstance(self.scorer.name[0], <void*> self, _compute_sufficient_stats, _compute_score) @@ -187,5 +192,7 @@ cdef class Metric: return [] BLEU = Scorer('IBM_BLEU') +QCRI = Scorer('QCRI_BLEU') TER = Scorer('TER') CER = Scorer('CER') +SSK = Scorer('SSK') |