[PDF] Top 20 Robust parfda Statistical Machine Translation Results

... Statistical machine translation is widely prone to errors in text including encoding, tokeniza- tion, morphological variations and the mass they take, the size of the training and language model ... See full document

... These models can be roughly grouped into five categories: word form with linguistic fea- tures; lemma with linguistic features; models with dependency features; MRS elementary pred- icates (EP) and the type of the main ... See full document

... An analysis of the judgements on the remain- ing three evaluation criteria (outlined in Section 4.4) for the 31 differences provides further infor- mation. The Baseline system appears to be more accurate, with 19 ... See full document

... Although our work is framed with respect to MERT, the convex geometric description is also applicable to other error-based training methods for linear models. We believe our analysis has important ramifications because ... See full document

... In order to make our experiments comparable to previous work, we use the French-English and German-English datasets from the WMT 2014 shared task. As discussed throughout the pa- per, our system is trained on monolingual ... See full document

... The results in the Table 2 also show the effect of data size on the performance of SMT ...Amharic-Wolaytta-Amharic translation systems are better than Amharic- Ge’ez-Amharic systems although the data size ... See full document

... Statistical Machine Translation is the one of the most excelled machine translation approaches based on the concept of statistical models, whose parameter are estimated by ... See full document

... Nowadays statistical machine translation shows its benefits and has received much ...phrase-based statistical machine translation was carefully ...better. Translation ... See full document

... Our model is remarkably simple – it requires no linguistic resources, no feature engineering, and only a handful of hyper-parameters. It also has no reliance on potentially fragile outside algorithms, such as ... See full document

... impact translation quality of neural machine translation (NMT) mod- ...models robust against input pertur- bations by enabling them to behave sim- ilarly for the original input and its per- ... See full document

... While these results are very encouraging, we must investigate why this approach is helpful. We find that two factors possibly contribute to these results. first, performing cross-validation on the training ... See full document

... METEOR scores became significantly better for all conditions. TER improved sig- nificantly for Arabic-to-English but marginally on Chinese-to-English tasks. The results on METEOR and TER suggested that the new model ... See full document

... factor of no more than five in either the Chinese or En- glish tree, we achieved results for 480, or 48% of the 993 sentences. Of these 480, the model preferred the pro- duced over the oracle 52% of the time, ... See full document

... or translation performance for syntactically augmented translation models (Wu, 1997; Wang, 1998; Alshawi et ...these results have been promis- ... See full document

... The results are somewhat inconclusive: although the KN3+ZN-IBM1 curve is perhaps slightly flatter, the most obvious characteristic is that this method appears to be highly sensitive to the particular cor- pus ... See full document

... Nowadays, machine translation systems become more and more ...new translation model to an old one, so that we can use an existing system, and see the effect of the new model ...sub-clause ... See full document

... Our results answer several open questions on the computation of Viterbi Alignment and Expectation Evaluation. Unless P = NP and P # P = P , there can be no polynomial time algorithms for either of these problems. ... See full document

... of statistical machine translation and alignment under a synchronous context-free ...and translation task. In translation, we propose a two-pass decoding strategy involving a weaker ... See full document

... on translation quality. Using our hy- pothesis of translation consistency we expected another gain on our test ...cache translation op- tions for which the transition costs (of adding this option to ... See full document

... the translation and alignment probabilities for the HMM-based alignments, we employ the EM algo- rithm via dynamic ...or translation grammar rules using Model 1 and the HMM-based alignments results ... See full document