bleu score
A Comparison on Fine grained Pre trained Embeddings for the WMT19Chinese English News Translation Task
... lower score than the pre- vious work (Xu and Carpuat, ...better BLEU score than the baseline ...higher BLEU score of ...acTER score for the fine-tuned model is lower than other ...
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The Impact of Preprocessing on Arabic English Statistical and Neural Machine Translation
... provements over the original BLEU scores. Figure 4 illustrates five examples, where either SMT or NMT output is selected based on the out- put length compared to the source input size. In Example 1, the SMT output ...
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Massively Parallel Cross Lingual Learning in Low Resource Target Language Translation
... We work on translation from rich-resource lan- guages to low-resource languages. The main challenges we identify are the lack of low- resource language data, effective methods for cross-lingual transfer, and the ...
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Statistical modelling of MT output corpora for information extraction
... r coefficient between the o-score and the DARPA Adequacy score = 0.99356356 r coefficient between the BLEU score and the DARPA Adequacy score = 0.59362789 r coefficient between the u&o-s[r] ...
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IMSurReal: IMS at the Surface Realization Shared Task 2019
... the BLEU scores of linearization evaluated on the lemmata, column 5 is the accuracy of inflection, column 6 is BLEU score on the contracted word form (empty cells means contraction is not applied), ...
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A Discriminative Global Training Algorithm for Statistical MT
... lation score against block sequences with a high BLEU score 2 ...high BLEU scoring block sequences are obtained as follows: the regular phrase-based decoder is modified in a way that it uses ...
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Joint Decoding with Multiple Translation Models
... Table 2 shows the results of comparing individ- ual decoding and joint decoding on the test set. With conventional max-derivation decoding, the hierarchical phrase-based model achieved a BLEU score of 30.11 ...
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BBN System Description for WMT10 System Combination Task
... hypothesis BLEU statistics back to the client. The client accumulates the BLEU statistics from all servers and computes the final BLEU score used as the objective func- tion by the ...
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A Call for Clarity in Reporting BLEU Scores
... use BLEU scores as very rough guides to MT performance across test sets and languages (comparing, for example, translation performance into English from Ger- man and ...a BLEU score of ...
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An Empirical Study on Development Set Selection Strategy for Machine Translation Learning
... As usual, minimum error rate training (MERT) is adopted for log-linear model parameter estimation (Och, 2003). There are many improvements on MERT in existing work (Bertoldi et al., 2009; Fos- ter and Kuhn, 2009), but ...
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Integrating empty category detection into preordering Machine Translation
... the BLEU score from 33.2 to 34.3 and the RIBES score from ...the BLEU score from 19.9 to 20.2 and the RIBES score from ...
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Incremental Transformer with Deliberation Decoder for Document Grounded Conversations
... and BLEU (Papineni et ...mance. BLEU measures n-gram overlap between a generated response and a gold ...sponses, BLEU scores are extremely low. We compute BLEU score by the ...
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Coverage and Cynicism: The AFRL Submission to the WMT 2018 Parallel Corpus Filtering Task
... Meteor score is al- ways beneficial for the MT systems trained on smaller sets and rarely detrimental for the systems trained on larger ...translation score, cvg-mix-meteor, is our top submission by mean ...
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HMM Word to Phrase Alignment with Dependency Constraints
... in BLEU score over current HMM word-to-phrase alignment models on a Phrase-Based Statistical Machine Translation system when the training data is small, and a comparable performance compared to IBM model 4 ...
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Climbing Mont BLEU: The Strange World of Reachable High BLEU Translations
... with BLEU decoding, we explored the view from the top of Mount BLEU, examining in detail high-BLEU regions of the search ...mean BLEU score from ...in BLEU-decoding mode from an ...
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DFKI Hybrid Machine Translation System for WMT 2011 On the Integration of SMT and RBMT
... best on test08. The rule-based sytems, Linguatec and Lucy are expected to have a higher score in the human evaluation than in the automatic evaluation. Furthermore, as we can see from Table 3, there is still room ...
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Pre Reordering for Machine Translation Using Transition Based Walks on Dependency Parse Trees
... a poor BLEU score (although a cursory exami- nation of the reordered sentences doesn’t reveal this problem to be prevalent). Both these issues could be possibly addressed by switching from a ...
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Watermarking the Outputs of Structured Prediction with an application in Statistical Machine Translation
... In this work we proposed a general method to watermark and probabilistically identify the structured outputs of machine learning algo- rithms. Our method provides probabilistic bounds on detection ability, analytic ...
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Neural vs Phrase Based Machine Translation in a Multi Domain Scenario
... 61.06 BLEU score) where the train- ing data are very heterogeneous and are composed of multiple corpora with different sizes (varying from very few thousands to millions of sentence ...
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Neural Text Generation from Rich Semantic Representations
... We propose neural models to generate high-quality text from structured representa- tions based on Minimal Recursion Semantics (MRS). MRS is a rich semantic representation that encodes more precise semantic detail than ...
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