[PDF] Top 20 Direct Error Rate Minimization for Statistical Machine Translation

... up direct search by storing and re-using search graphs, which con- sist of lattices in the case of phrase-based decod- ing (Och et ...of translation options in order to construct the search graph is ... See full document

... Letter-to-phoneme conversion plays an impor- tant role in several applications. It can be a dif- ficult task because the mapping from letters to phonemes can be many-to-many. We present a language independent ... See full document

... multiple translation mod- els as alternative decoding paths (Birch et ...final translation. In practice, each translation model adds 5 features and thus 5 more dimensions to the weight space, which ... See full document

... speech translation system that can deal with real life ...three translation directions: Spanish to English, English to Spanish and Chinese to ...text-to-text translation methods can be ... See full document

... Domain adaptation has been explored in the field through different methods. Some methods involve information retrieval (IR) techniques to retrieve sentence pairs related to the target do- main from a training corpus (Eck ... See full document

... In statistical machine translation, minimum error rate training (MERT) is a standard method for tuning a single weight with regard to a given development ...Chinese-to-English ... See full document

... of statistical machine transla- tion models where each member of the ensemble has different feature function values for the SMT log-linear model (Koehn, ...minimum error rate training (Och, ... See full document

... standard translation using the F- score (Turian et ...the translation process for each candidate translation against the fragments that yielded the ... See full document

... Automatic error detection is desired in the post-processing to improve machine translation ...side machine translation systems, into er- ror detection: lexical and syntactic fea- ... See full document

... Statistical Machine Translation (SMT) systems have improved considerably by directly using the error criterion in both training and ...the translation task instead of a criterion such ... See full document

... Brockett et al. (2006) describe the use of an SMT system for correcting a set of 14 count- able/uncountable nouns which are often confus- ing for learners of English as a second language. Their training data consists of ... See full document

... on the test corpus. Italic numbers refer to results for which the difference to the best result (indicated in bold) is not statistically significant. For all error rates, we show the maximal occurring 95% confi- ... See full document

... in Statistical Machine Transla- ...Minimum Error Rate Training(MERT), we extend it under a transductive learning framework, by iteratively re-estimating the parame- ters using both development ... See full document

... Although Och’s line search is globally optimal, this is not sufficient to guarantee that a series of line searches will find the globally optimal com- bination of all feature weights. To avoid getting stuck at an ... See full document

... alternative translation hypotheses represented in a lattice also increases the number of phase transitions in the error surface, and thus prevents MERT from selecting a low performing feature weights set at ... See full document

... to error, i.e. mutational and translation errors in synonymous positions (typically, the third position in a codon) have no effect on the protein, whereas substitutions in the first position typically lead ... See full document

... A transfer based RBMT approach is proposed by Latha R Nair et al. [13] for Malayalam to English translations. This system includes preprocessor for dividing the compound words, a syntactic structure transfer module, ... See full document

... in translation studies, which has been named the cultural turn (Lefevere and Bassnett, 1995; Snell-Hornby, ...to translation is their emphasis on the communicative aspects of trans- ...lation. ... 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

... training machine transla- tion systems, the proposed algorithms did not actu- ally optimize the structured hinge loss, for similar reasons to those mentioned above for the perceptron: latent variables and ... See full document