[PDF] Top 20 Towards a Unified Approach to Memory and Statistical Based Machine Translation

... Table 6, which summarizes the results, displays the percent of perfect translations (both semanti- cally and grammatically) produced by a variety of systems. Table 6 shows that translations produced using both TMEM and ... See full document

... Additionally, the SMT and sub-tree alignment systems that we use cannot handle certain char- acters, which we need to mask in the data. For the SMT backend, this includes ‘|’, ‘<’ and ‘>’ and for the sub-tree ... See full document

... The machine translation system is a graph- based decoder (Ueffing et ...search based on the scores of the lexicon and language mod- ...phrase translation candidates, are gener- ated by ... See full document

... Translation memories (TM) are widely used in the localization industry to im- prove consistency and speed of human translation. Several approaches have been presented to integrate the bilingual trans- ... See full document

... iment setting, the best distortion limit for Chinese- English translation is 4. However, some ideal trans- lations exhibit reorderings longer than such distor- tion limit. Consider the sentence pair in NIST MT- ... See full document

... the translation phrase level, we pro- pose a unified approach to modeling reordering on the linguistic unit level, ...other translation models, e.g., phrase-based model, as ... 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 ... See full document

... We have introduced a general method for word preordering in which reordering rules are extracted from a parallel corpus using only word alignments and basic part-of-speech tagging. Rule quality is estimated using the CS ... See full document

... phrase– based machine translation system using the Moses decoder among other linguistic ...of translation and a gain in terms of Bleu score after introducing a pre-processing scheme for Arabic ... See full document

... phrase-based statistical machine translation approach — the alignment template approach — is ...This translation approach allows for general many-to-many relations ... See full document

... word based except for those indecomposable word sequences under ...fewer translation options are ...this approach is promising when more features and more powerful classifiers are used as Daumé III ... See full document

... work based on maxi- mum likelihood estimations of reordering patterns (Li et ...pre-reordering based SMT system, but also be integrated into a phrase- based decoder serving as additional distortion ... 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 ... See full document

... A translation memory (TM) is proved to be helpful to improve neural machine translation ...efficient approach to making use of the global information in a ...proposed approach is ... See full document

... of machine translation. In this paper we are doing machine transliteration for English-Punjabi language pair using rule based ...a statistical machine translation toolkit ... See full document

... (NMT) approach [26] has recently been proposed for ...the translation quality would be badly hurt; The NMT decoder lacks a mechanism to guarantee that all the source words are translated and usually favors ... See full document

... transformation is factorized into a series of mini- transformations, which we address as features of the transformation. The features denote the vari- ous linguistic modifications in the source structure to obtain the ... 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

... is Statistical Machine Translation ...in machine translation between languages with significant word order differences ...Example Based Machine Translation (EBMT) ... See full document

... However, the word error rate (WER) is a very common measure in the area of speech recognition which is also quite usually applied in SMT (Och et al., 1999). Although it is not so widely employed as BLEU, there exists ... See full document