[PDF] Top 20 Study on Unsupervised Statistical Machine Translation for Backtranslation

... Neural Machine Translation sys- tems are data-hungry as they require huge amounts of aligned parallel corpora (Koehn and Knowles, ...pervised machine translation where only mono- lingual ... See full document

... N, Halimi. 2017. BabelDr vs Google Trans- late: a user study at Geneva University Hospitals (HUG). Proceedings of the 20th Annual Confer- ence of the European Association for Machine Translation. ... See full document

... In order to overcome these limitations, we pro- pose an iterative refinement procedure based on backtranslation (Sennrich et al., 2016). More con- cretely, we generate a synthetic parallel corpus by translating ... See full document

... by unsupervised MT can be directly used as training data to train a standard NMT system with a significantly better translation ...in translation quality, we can expect that the complementarity of ... See full document

... this study a new method that reduces the effort required to build training data for segmen- tal annotation ...we study how to associate them with their lexical sup- ports without prior ...the machine ... See full document

... Tokenizing a parallel corpus is usually the first step of training a statistical machine translation system. With languages such as Chinese, which has no spaces in its writing system, the main chal- ... See full document

... The proposed methods were evaluated on three language pairs: French-English (Fr-En), German- English (De-En), and Japanese-English (Ja-En). Fr-En and De-En are similar European language pairs. We used 30 million ... See full document

... a study by plitt ...of statistical MT post- editing(Autodesk, a software company, whose products are translated from English into up to twenty languages) as compared to traditional conversion in a two-day ... 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

... Unsupervised word segmentation (UWS) can provide domain-adaptive segmenta- tion for statistical machine translation (SMT) without annotated data, and bilin- gual UWS can even optimize ... See full document

... pervised machine translation where authors have shown that, up to a certain amount of bitext, bet- ter translation systems can be trained with these unsupervised approaches than supervised ... See full document

... et al., 2005; Liu et al., 2007; Zhang et al., 2007; Zhang et al., 2008a; Zhang et al., 2008b; Gildea, 2003; Galley et al., 2004; Marcu et al., 2006; Bod, 2007). The basic motivation behind syntax-based model is that the ... See full document

... Convex geometry (Ziegler, 1995) is the math- ematics of such linear equations presented as the study of convex polytopes. We use convex geom- etry to show that the behaviour of training methods such as MERT (Och, ... See full document

... Some translation examples of the Verbmobil task are shown in Tab. 6. We have to keep in mind, that the Verbmobil task consists of transcriptions of spontaneous speech. Therefore, the source sen- tences as well as ... See full document

... an unsupervised transliteration model into an end-to-end SMT ...fully unsupervised and language ...and translation quality compared to the gold standard transliteration ... See full document

... of unsupervised determination of the optimal morphological segmentation for statistical machine translation (SMT) and propose a segmentation metric that takes into account both sides of the ... See full document

... against unsupervised (using automatic transcriptions) in-domain data for LM training for the task of ...the unsupervised test data to adapt a general- domain bilingual ...the machine ... See full document

... Irish (GA) and Scottish Gaelic (GD) are recog- nised minority languages, both in their native countries and in the EU. Both languages are minor- ity languages, with English (EN) as the dominant language. Irish is also ... 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

... Neural machine translation (NMT) is a new ap- proach to machine translation that has shown promising results compared to the existing ap- proaches such as phrase-based statistical ... See full document