[PDF] Top 20 Goodness: A Method for Measuring Machine Translation Confidence

... a method to predict con- fidence scores for machine translated words and sen- tences based on a feature-rich classifier using linguistic and context ...proposed confidence scores can help the MT sys- ... See full document

... This paper presents a method for quantifying the goodness of fit of spatial a n d / o r time series data and models based on measuring the similarity of the patt[r] ... See full document

... that if a sentence has been translated well with the existing data, it will not contribute to improving the translation quality. If however a sentence has been translated erroneously, it might have words or ... See full document

... statistical machine translation (SMT) system, the expected use case is often limited to a specific domain, genre and register (henceforth “domain” refers to this set, in keeping with standard, imprecise, ... See full document

... evaluation method which is able to rank translation out- puts with no reference translation, given only their source ...the method has considerably good correlation with human ranking when ... See full document

... “referential translation machines” (RTM) method proposed in [13] shows its prediction performance in WMT 2013, without accessing any SMT system specific resource and prior knowledge used to train data or ... See full document

... Table 4 shows the performance of all different con- fidence measures on the hypotheses generated by the alignment template system and the phrase-based system. For the baseline CER, we determined the 90%- and ... See full document

... Table 5 contains results for additional English → German datasets, namely patents (W¨aschle and Riezler, 2012) (Patent), transcribed public speeches (Cettolo et al., 2012) (TED), and two proprietary user data sets, one ... See full document

... of translation hypotheses n-best list reranking was extensively studied in (Och et ...word-level confidence estimation (Blatz et ...simple method, di- verse hypotheses used as training ...using ... See full document

... of Machine Translation ( MT ...and method- ology provide a fair estimate of the adequacy of cross-lingual predictions in ...the translation context and cast doubt on the contribution that ... See full document

... word-level confidence measures for ma- chine ...a method for labeling each word in an automatically generated translation as correct or ...to confidence estimation presented here are based on ... See full document

... over translation-method-specific ...for machine transla- tion is (Petrenz, 2014), in which the author uses text features to build cross-lingual register classi- ... See full document

... crowdsourcing machine learning prob- lems: rather than competing, everyone works to- gether to solve a shared task, with credit awarded proportional to the contribution that each individual ... See full document

... candidate translation should be neither too long nor too short, and an evaluation metric should en- force ...candidate translation than its maximum reference ...proper translation length, as is ... See full document

... Jan-Thorsten Peter, Hermann Ney, Ondˇrej Bojar, Ngoc-Quan Pham, Jan Niehues, Alex Waibel, Franck Burlot, François Yvon, M¯arcis Pinnis, Valters Sics, Joost Bast- ings, Miguel Rios, Wilker Aziz, Philip Williams, Frédéric ... See full document

... Our online marketplace contains millions of listing descriptions posted by tens of thousands of multilin- gual sellers. We conducted an MT system training using aligned texts from these product listings. We used our ... See full document

... the translation performance of SMT systems by translating a held- out translation test set and measuring the BLEU score of our hypothesized translations against one or more reference ... See full document

... Javier Iranzo-Sánchez, Pau Baquero-Arnal, Gonçal V. Garcés Díaz-Munío, Adrià Martínez-Villaronga, Jorge Civera and Alfons Juan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ... See full document

... the Machine Learning ...on Machine Learning (2016), Best Paper Award at the International Conference on Learning Representations (2016), Winner of round 5 of the Yelp Dataset Challenge (2015), Distinguished ... See full document

... Statistical Machine Translation ...in machine translation between languages with significant word order differences ...Based Machine Translation (EBMT) that translates input text ... See full document