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courses:rg:transductive_learning_for_statistical_machine_translation [2010/12/08 22:27]
jawaid 		courses:rg:transductive_learning_for_statistical_machine_translation [2010/12/08 22:41]
jawaid
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   * Experiments are performed on EuroParl and NIST corpus. On EuroParl corpus the selection and scoring was carried out using importance sampling with normalized score. Three different experiments are performed on the Europarl corpus which didn't produce significant improvement in the accuracy on output translation. Experiments on NIST data are performed using three different test sets where the output translation of each test set yield the best score when threshold-based selection method was combined with confidence estimation as scoring method.   * Experiments are performed on EuroParl and NIST corpus. On EuroParl corpus the selection and scoring was carried out using importance sampling with normalized score. Three different experiments are performed on the Europarl corpus which didn't produce significant improvement in the accuracy on output translation. Experiments on NIST data are performed using three different test sets where the output translation of each test set yield the best score when threshold-based selection method was combined with confidence estimation as scoring method.
  
-  * The main issue with this paper is that number of iterations that are selected to train the model are not described. And according the Figure 1 in the paper graph achieves global maximum on iteration 16 and iteration 18 on train100k and train150K corpus. Where our main concern is they might know the BLEU score from the test set they already have and they stopped the training process or cut down the graph after particular iteration where BLEU is optimized according to already computed BLEU score.+  * The main issue with this paper is that number of iterations that are selected to train the model are not described. And according to Figure 1 in the paper, graph achieves global maximum on iteration 16 and iteration 18 on train100k and train150K corpus. Where our main concern is they might know the BLEU score from the test set they already have and they stopped the training process or cut down the graph after particular iteration where BLEU is optimized according to already computed BLEU score.
  
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