[PDF] Top 20 On Integrating Discourse in Machine Translation

... Neural Machine Translation (NMT) models are now the most performant, to the ex- tent that in the past year they have been the best performing at WMT (Bojar et ... See full document

... statistical machine translation (SMT) that we have seen in recent years would not have been possible without au- tomatic metrics for measuring SMT ... See full document

... erence translation for the second example uses the French connective car with a correct causal sense, instead of the wrong depuis que generated by SMT, which expresses a temporal ...erence translation uses ... See full document

... statistical machine transla- tion (SMT) has renewed interest in the fact that for a variety of linguistic phenomena one needs information from a longer-range ...statistical translation models and decoding ... See full document

... We investigate three methods for integrat- ing an unsupervised transliteration model into an end-to-end SMT system. We in- duce a transliteration model from parallel data and use it to translate OOV words. Our approach ... See full document

... Chung and Gildea (2010) reported that the automatic insertion of empty categories improved the accu- racy of phrased-based machine translation. Xiang et al. (2013) proposed a log-linear model for the empty ... See full document

... Statistical machine translation (SMT), especially the phrase-based model (Koehn et ...professional translation because its output quality is still far from satis- ... See full document

... The human-annotated data from the WMT cam- paigns encompasses series of rankings on the out- put of different MT systems for every source sen- tence. Annotators rank the output of five systems according to perceived ... See full document

... As almost all current MT systems are translating document line by line, we can say that the context of the translations is line-based even when we try to adapt the system to the domain of the document. The particularity ... See full document

... in discourse connective disambiguation we used WordNet (Miller, 1995) to compute lexical similarity scores with the lesk metric (Baner- jee and Pedersen, 2002) for all the possible com- binations of nouns, verbs ... See full document

... a discourse relation as the uni- gram distribution of words in the 2 arguments con- nected by the ...particular discourse usage is thus the sum of the unigram dis- tributions of all discourse ... See full document

... A key point about the aspectual features and coercion functions is that they allow for a two-way communication channel between the two processes of lexical selection and aspectual realiz[r] ... See full document

... of discourse relation is related to the first problem we studied, ...since discourse relations between adja- cent sentences are more often implicit (than intra- sentence ...the translation qual- ity ... See full document

... compares translation output between baseline and the +tgt-FMS-rr extension, showing that the system is able to correct syntactical er- rors, but also, that some changes consist only of swapping translations for a ... See full document

... journal Machine Translation, edited by Ruslan Mitkov, devoted to anaphora resolution in Machine Translation and multi- lingual ...Statistical Machine Translation and Hybrid ... See full document

... With these dictionaries and Giza++ word align- ment (Och and Ney, 2003), the SL connectives can be located and the sentences of its transla- tion (reference and/or automatic) can be scanned for an aligned occurrence of ... See full document

... Our previous work focuses on combining translation memory (TM) and statistical machine translation (SMT) when the TM database and the SMT training set are the same. However, the TM database will ... See full document

... Results Table 3 shows all the Pearson’s corre- lations. Overall, Formality-RB obtains the high- est correlation score (80.7%) among all features. However, DPMFComb (96.2%), BLEU and ME- TEOR are better than the rest. The ... See full document

... on Discourse in Machine Translation (DiscoMT 2015), held in Lisbon, Portugal, in connection with ...the translation of pronouns whose form in the target language may be constrained in ... See full document

... good- translation discourse trees that make them more similar to the gold-translation trees than the bad-translation ...5.2.1 Discourse Relations. There are 18 discourse relation ... See full document