Python bleu_scorer.BleuScorer方法代碼示例

本文整理匯總了Python中bleu_scorer.BleuScorer方法的典型用法代碼示例。如果您正苦於以下問題：Python bleu_scorer.BleuScorer方法的具體用法？Python bleu_scorer.BleuScorer怎麽用？Python bleu_scorer.BleuScorer使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類bleu_scorer的用法示例。

在下文中一共展示了bleu_scorer.BleuScorer方法的10個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。

示例1: compute_score

# 需要導入模塊: import bleu_scorer [as 別名]
# 或者: from bleu_scorer import BleuScorer [as 別名]
def compute_score(self, gts, res):

        assert(gts.keys() == res.keys())
        imgIds = gts.keys()

        bleu_scorer = BleuScorer(n=self._n)
        for id in imgIds:
            hypo = res[id]
            ref = gts[id]

            # Sanity check.
            assert(type(hypo) is list)
            assert(len(hypo) == 1)
            assert(type(ref) is list)
            assert(len(ref) >= 1)

            bleu_scorer += (hypo[0], ref)

        #score, scores = bleu_scorer.compute_score(option='shortest')
        score, scores = bleu_scorer.compute_score(option='closest', verbose=1)
        #score, scores = bleu_scorer.compute_score(option='average', verbose=1)

        # return (bleu, bleu_info)
        return score, scores

開發者ID:hadyelsahar，項目名稱:Zeroshot-QuestionGeneration，代碼行數:26，代碼來源:bleu.py

示例2: compute_score

# 需要導入模塊: import bleu_scorer [as 別名]
# 或者: from bleu_scorer import BleuScorer [as 別名]
def compute_score(self, gts, res):

        assert(sorted(gts.keys()) == sorted(res.keys()))
        imgIds = list(gts.keys())

        bleu_scorer = BleuScorer(n=self._n)
        for id in imgIds:
            hypo = res[id]
            ref = gts[id]

            # Sanity check.
            assert(type(hypo) is list)
            assert(len(hypo) == 1)
            assert(type(ref) is list)
            assert(len(ref) >= 1)

            bleu_scorer += (hypo[0], ref)

        #score, scores = bleu_scorer.compute_score(option='shortest')
        score, scores = bleu_scorer.compute_score(option='closest', verbose=1)
        #score, scores = bleu_scorer.compute_score(option='average', verbose=1)

        # return (bleu, bleu_info)
        return score, scores

開發者ID:spacemanidol，項目名稱:MSMARCO，代碼行數:26，代碼來源:bleu.py

示例3: compute_score

# 需要導入模塊: import bleu_scorer [as 別名]
# 或者: from bleu_scorer import BleuScorer [as 別名]
def compute_score(self, gts, res):

        assert(gts.keys() == res.keys())
        imgIds = gts.keys()

        bleu_scorer = BleuScorer(n=self._n)
        for id in imgIds:
            hypo = res[id]
            ref = gts[id]

            # Sanity check.
            assert(type(hypo) is list)
            assert(len(hypo) == 1)
            assert(type(ref) is list)
            assert(len(ref) > 1)

            bleu_scorer += (hypo[0], ref)

        #score, scores = bleu_scorer.compute_score(option='shortest')
        score, scores = bleu_scorer.compute_score(option='closest', verbose=1)
        #score, scores = bleu_scorer.compute_score(option='average', verbose=1)

        # return (bleu, bleu_info)
        return score, scores

開發者ID:InnerPeace-Wu，項目名稱:densecap-tensorflow，代碼行數:26，代碼來源:bleu.py

示例4: compute_score

# 需要導入模塊: import bleu_scorer [as 別名]
# 或者: from bleu_scorer import BleuScorer [as 別名]
def compute_score(self, gts, res):

        assert(set(gts.keys()) == set(res.keys()))
        imgIds = gts.keys()

        bleu_scorer = BleuScorer(n=self._n)
        for id in imgIds:
            hypo = res[id]
            ref = gts[id]

            # Sanity check.
            assert(type(hypo) is list)
            assert(len(hypo) == 1)
            assert(type(ref) is list)
            assert(len(ref) >= 1)

            bleu_scorer += (hypo[0], ref)

        #score, scores = bleu_scorer.compute_score(option='shortest')
        score, scores = bleu_scorer.compute_score(option='closest', verbose=0)
        #score, scores = bleu_scorer.compute_score(option='average', verbose=1)

        # return (bleu, bleu_info)
        return score, scores

開發者ID:danieljl，項目名稱:keras-image-captioning，代碼行數:26，代碼來源:bleu.py

示例5: compute_score

# 需要導入模塊: import bleu_scorer [as 別名]
# 或者: from bleu_scorer import BleuScorer [as 別名]
def compute_score(self, gts, res):

        assert(gts.keys() == res.keys())
        imgIds = gts.keys()

        bleu_scorer = BleuScorer(n=self._n)
        for id in imgIds:
            hypo = res[id]
            ref = gts[id]

            # Sanity check.
            assert(type(hypo) is list)
            assert(len(hypo) == 1)
            assert(type(ref) is list)
            assert(len(ref) >= 1)

            bleu_scorer += (hypo[0], ref)

        #score, scores = bleu_scorer.compute_score(option='shortest')
        score, scores = bleu_scorer.compute_score(option='closest', verbose=0)
        #score, scores = bleu_scorer.compute_score(option='average', verbose=1)

        # return (bleu, bleu_info)
        return score, scores

開發者ID:yanghoonkim，項目名稱:NQG_ASs2s，代碼行數:26，代碼來源:bleu.py

示例6: compute_score

# 需要導入模塊: import bleu_scorer [as 別名]
# 或者: from bleu_scorer import BleuScorer [as 別名]
def compute_score(self, gts, res):

        # assert(gts.keys() == res.keys())
        assert(sorted(gts.keys()) == sorted(res.keys()))
        imgIds = gts.keys()

        bleu_scorer = BleuScorer(n=self._n)
        for id in imgIds:
            hypo = res[id]
            ref = gts[id]

            # Sanity check.
            assert(type(hypo) is list)
            assert(len(hypo) == 1)
            assert(type(ref) is list)
            assert(len(ref) >= 1)

            bleu_scorer += (hypo[0], ref)

        #score, scores = bleu_scorer.compute_score(option='shortest')
        score, scores = bleu_scorer.compute_score(option='closest', verbose=1)
        #score, scores = bleu_scorer.compute_score(option='average', verbose=1)

        # return (bleu, bleu_info)
        return score, scores

開發者ID:eric-xw，項目名稱:AREL，代碼行數:27，代碼來源:bleu.py

示例7: compute_score

# 需要導入模塊: import bleu_scorer [as 別名]
# 或者: from bleu_scorer import BleuScorer [as 別名]
def compute_score(self, gts, res):
        
        assert (gts.keys() == res.keys())
        imgIds = gts.keys()

        bleu_scorer = BleuScorer(n=self._n)
        for id in imgIds:
            hypo = res[id]
            ref = gts[id]

            # Sanity check.
            assert (type(hypo) is list)
            assert (len(hypo) == 1)
            assert (type(ref) is list)
            assert (len(ref) >= 1)

            bleu_scorer += (hypo[0], ref)

        # score, scores = bleu_scorer.compute_score(option='shortest')
        score, scores = bleu_scorer.compute_score(option='closest', verbose=1)
        # score, scores = bleu_scorer.compute_score(option='average', verbose=1)

        # return (bleu, bleu_info)
        return score, scores

開發者ID:sheffieldnlp，項目名稱:deepQuest，代碼行數:26，代碼來源:bleu.py

示例8: compute_score

# 需要導入模塊: import bleu_scorer [as 別名]
# 或者: from bleu_scorer import BleuScorer [as 別名]
def compute_score(self, gts, res):
        assert(sorted(gts.keys()) == sorted(res.keys()))
        imgIds = gts.keys()

        bleu_scorer = BleuScorer(n=self._n)
        for id in imgIds:
            hypo = res[id]
            ref = gts[id]

            # Sanity check.
            assert(type(hypo) is list)
            assert(len(hypo) == 1)
            assert(type(ref) is list)
            assert(len(ref) > 1)

            bleu_scorer += (hypo[0], ref)

        #score, scores = bleu_scorer.compute_score(option='shortest')
        score, scores = bleu_scorer.compute_score(option='closest', verbose=0)
        #score, scores = bleu_scorer.compute_score(option='average', verbose=0)

        # return (bleu, bleu_info)
        return score, scores

開發者ID:fukun07，項目名稱:neural-image-captioning，代碼行數:25，代碼來源:bleu.py

示例9: compute_score

# 需要導入模塊: import bleu_scorer [as 別名]
# 或者: from bleu_scorer import BleuScorer [as 別名]
def compute_score(self, gts, res):
        """

        :param gts:
        :param res:
        :return:
        """
        assert(gts.keys() == res.keys())
        imgIds = gts.keys()

        bleu_scorer = BleuScorer(n=self._n)
        for id in imgIds:
            hypo = res[id]
            ref = gts[id]

            # Sanity check.
            assert(type(hypo) is list)
            assert(len(hypo) == 1)
            assert(type(ref) is list)
            assert(len(ref) > 0)

            bleu_scorer += (hypo[0], ref)

        score, scores = bleu_scorer.compute_score(option='closest', verbose=1)

        return score, scores

開發者ID:harpribot，項目名稱:deep-summarization，代碼行數:28，代碼來源:bleu.py

示例10: compute_score

# 需要導入模塊: import bleu_scorer [as 別名]
# 或者: from bleu_scorer import BleuScorer [as 別名]
def compute_score(self, gts, res):

        #assert(gts.keys() == res.keys())
        assert(set(gts.keys()) == set(res.keys()))
        imgIds = gts.keys()

        bleu_scorer = BleuScorer(n=self._n)
        for id in imgIds:
            hypo = res[id]
            ref = gts[id]

            #import pdb; pdb.set_trace()
            # Sanity check.
            assert(type(hypo) is list)
            assert(len(hypo) == 1)
            assert(type(ref) is list)
            assert(len(ref) >= 1)

            bleu_scorer += (hypo[0], ref)

        #score, scores = bleu_scorer.compute_score(option='shortest')
        score, scores = bleu_scorer.compute_score(option='closest', verbose=1)
        #score, scores = bleu_scorer.compute_score(option='average', verbose=1)

        # return (bleu, bleu_info)
        return score, scores

開發者ID:rakshithShetty，項目名稱:captionGAN，代碼行數:28，代碼來源:bleu.py

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