[PDF] Top 20 Error Analysis of Statistical Machine Translation Output

... The next category concerns the word order of the gener- ated sentence. Here we can distinguish between word or phrase based reorderings, and within each of these cate- gories between local or long range reorderings. In ... See full document

... The fact that there are a large number of errors only iden- tified by one annotator can to some extent be explained by the fact that the annotators could have marked different in- dices. Table 5 shows a comparison of the ... See full document

... morphological analysis technique which induces a morphological and syntactic symmetry between two languages with highly asymmetrical morphological structures to improve statistical machine ... See full document

... one error is still present in the post-edited ...of error in the post-edited text and need to be handled ...of translation is higher as compared to other ...their translation corresponding to ... See full document

... human translation for example, is its partly repetitive ...same output when confronted with the same input; in particular, this means that they tend to make the same mistakes over and over again, which the ... See full document

... the statistical models in order to generate the ...because translation tool learns methods from statistical analysis of bilingual corpora ... See full document

... RBMT is a type of large scale rule based system. Therefore computational cost and resource requirements are high in order to create a RBMT system. It is formulated on the basis of morphological, syntactic and semantic ... See full document

... tween the results of baseline and reranking using our features was statistically significant (p < 0.01). Be- cause a large N-gram language model was adopted for reranking, recall increased considerably but pre- cision ... See full document

... Following previous approaches, we decided to in- crease the size of our training set by introducing new sentences containing artificial errors. This has many potential advantages. First, it is an eco- nomic and efficient ... See full document

... n-best translation hypotheses, and their feature values ac- cording to the SMT model, and then optimizing feature weights just with respect to those hypothe- ...The translation quality mea- surement for the ... See full document

... human error anal- ysis as the basis of our analysis, and also compare the eye tracking measurements to other data collected from the sub- jects in the study, such as reading comprehension questions and ... See full document

... Only a very small fraction of translation requests receive any kind of feedback from users (∼0.01%), and after fil- tering out noisy feedback items, approximately 60% of the suggestions contain at least some clue ... See full document

... the output, or a personal con- struction in the SL with an impersonal construction in the TL without being aware of ...correct translation of complex linguistic phenomena based on such an impoverished ... See full document

... augmented statistical machine translation model from Bulgarian to English, which combines a statistical machine translation (SMT) system (as backbone) with deep lin- guistic ... See full document

... suggested translation (Simard and Isa- belle, ...a Translation-Services Provider (TSP) company to reliably determine in advance the increase in translator productivity due to the use of MT and to adjust ... See full document

... unsmoothed error surface induced by log-linear ...best translation hypotheses in a phrase lattice becomes the problem of finding all cost-minimizing paths in a graph with affine cost ... See full document

... As shown in Algorithm 2, the T-MERT algo- rithm could be divided into two loops: in the out- er loop (outer-translation step), the test dataset is translated under current weight and new pseudo labeled test ... See full document

... EBMT is about how to decode knowledge from bilingual texts, where the knowledge seems to have no overt formal representation or any encoding scheme. The EBMT approach became popular soon after some positive results were ... See full document

... word error rate for statistical machine ...of statistical techniques in natural language process- ing often starts out with the simplifying (often im- plicit) assumption that the final scoring ... See full document

... up translation, but this also leads to better translation quality by minimizing search ...of translation by limiting search ...the translation model parameters for each increment of distortion ... See full document