[PDF] Top 20 A Statistical Approach to Machine Translation

... Although the interaction of these two factors can be quite profound, it may help the reader to think o f the translation probability as suggesting words from the source language t h at m[r] ... See full document

... A Statistical Approach to Sense Disambiguation in Machine Translation A S t a t i s t i c a l A p p r o a c h t o S e n s e D i s a m b i g u a t i o n i n M a c h i n e T r a n s l a t i o n Peter F[.] ... See full document

... using Statistical Machine Translation in different ...based statistical machine ...Hybrid Approach for Transliteration from Punjabi to ...using statistical rule based ... See full document

... word-to-word translation model and a lexical- ized monolingual grammar are sufficient to drive a ...word-to-word translation model has allowed only one word align- ...word-to-word translation model ... See full document

... in machine learning with the aim of reduc- ing the instability of classifiers and regressors and/or increase their ...tical machine translation community in various work (Xiao et ... See full document

... modern machine translation has relied on large parallel corpora, a recent line of work has managed to train Neural Machine Trans- lation (NMT) systems from monolingual cor- pora only (Artetxe et ... See full document

... phrase translation candidates at ...phrase translation from the ...phrase translation table that often grows almost linearly over the phrase length limit ... See full document

... Most modern statistical machine translation systems are based on linear statistical models. One extremely effective method for estimating the model parameters is minimum error rate training ... See full document

... a statistical-based translation ...a statistical model. The translations produced using both the translation memory and the sta- tistical model are significantly better than translations ... See full document

... probabilistic approach to reordering which combines the merits of syntax and phrase-based ...English translation, the proposal leads to BLEU improvement of ... See full document

... Callison-Burch et al. (2006) used pivot lan- guages for paraphrase extraction to handle the un- seen phrases for phrase-based SMT. Borin (2000) and Wang et al. (2006) used pivot languages to improve word alignment. Borin ... See full document

... given translation task allows us to train higher order language models, model longer range dependencies better, and achieve lower perplexity as shown in Table ... See full document

... Czech translation of the Penn Wall Street Journal corpus, provided reference translations for test- ing and the target-language side of the parallel corpus for ... See full document

... neural machine transla- tion is highly significant, both practically and the- ...Neural machine translation models re- quire only a fraction of the memory needed by traditional statistical ... 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

... in statistical machine translation as a type of lexically constrained statistical hybrid MT where in the passive use, the dictionary acts a a supplementary set of bi-lexical rules affect- ing ... See full document

... Second, this corpus is used with another SMT paradigm -we call it meta-SMT- that could be identical to the SMT paradigm we used in cross- validation process or another SMT paradigm, in order to provide the final ... See full document

... of statistical machine ...mental translation element and deal with local re- ordering, while a distance based distortion model is used to coarsely depict the exponentially decayed word movement ... See full document

... Statistical Machine Translation (SMT) is attract- ing more attentions than rule-based and example- based methods because of the availability of large training corpora and automatic ... See full document

... Here in this example two corrections are made by SPE i.e. ਯਤਨ and ਿਹੱਿਸਆਂ with improved BLEU Score 0.8249 which was 0.7846 earlier in SMT system. But one error is still present in the post-edited sentence. So the words ... See full document