[PDF] Top 20 Automatic Detection of Machine Translated Text and Translation Quality Estimation

... chine translation from monolingual corpora con- taining both machine translated text and human generated text, at sentence ...the detection accuracy that can be obtained and the ... See full document

... ular automatic machine translation evalu- ation metrics to provide labels for qual- ity estimation at document and paragraph ...in translation qual- ity that can only be observed when ... See full document

... for machine- translating an Web page, they typically insert specific tags into the HTML ...paste machine-translated sentences, such tags are ...and machine- translated sentences are ... See full document

... and automatic speech recognition systems evaluation within the International Workshop on Spoken Language Translation ...newswire text used in WMT translation campaigns and covers different ... See full document

... 2012 Quality Estimation (QE) shared task (Callison-Burch et ...create automatic systems to judge the quality of the translations produced by a Statistical Ma- chine Translation (SMT) ... See full document

... their translation outputs are treated on a merely superficial level, ...and translated text contain enough information for assessing translation quality, probably approaching the way ... See full document

... While automatic output quality estimation (QE) is an established field of research in other areas of NLP, such as machine translation (MT) (Specia et ...2018). Automatic QE for ... See full document

... level quality estimation (QE) of machine translated (MT) text, ...correctly translated and hence should be retained in the post-edited translation (PE), or ... See full document

... overall quality of the output produced by an MT system, without any intervention on the actual MT ...the automatic correction of machine-translated text (QE as activator, see Section ... See full document

... on quality estimation (QE) and automatic post-editing (APE) of machine translation (MT) outputs, especially for those among Asian languages, we have created new datasets for Japanese to ... See full document

... forum text, machine translated and both post-edited and manually evaluated for ad- equacy and ...unedited text. We also defined a metric for estimating the translation adequacy based on ... See full document

... to human references. This is due, among other reasons, to the combined effect of the shal- lowness of current MT evaluation metrics (mostly lexical), and the fact that the choice of lexical items is mostly based on ... See full document

... full text into a compact version while preserving the crucial information of the original text that is rel- evant to a ...digital text over the internet has reached such tremendous magnitude that a ... See full document

... uating Quality Estimation systems, which is based on a linguistically-motivated Test ...ity Estimation systems by checking their ability to distinguish between the correct and the erroneous ... See full document

... for Machine Translation (MT) rep- resents a standard domain adaptation technique with the aim of tackling the problem of select- ing from various general domain data the sen- tences that are most similar to ... See full document

... 2. Translation features model the connection be- tween source and ...chine translation, the advantage in confidence estimation is that we can exercise unconstruc- tive criticism, ... See full document

... Statistical Machine Translation was held at ACL 2007 in Prague, Czech Republic, ACL 2008, Columbus, Ohio, USA, EACL 2009 in Athens, Greece, ACL 2010 in Uppsala, Sweden, EMNLP 2011 in Edinburgh, Scotland, ... See full document

... and to demonstrate the ability of evaluation of sys- tems trained on a representation distinct from that of gold labels made possible by the unit-free Pear- son correlation, we also include evaluation of sys- tems ... See full document

... continuous quality label through represent- ing translations with feature ...proposed quality label and the impact of a wide variety of ...The quality label proposed for the sentence-level task is ... See full document

... Good uncertainty estimates can be acquired from well-calibrated probability distributions over the quality predictions. In QE, arguably the most successful probabilistic models are Gaussian Pro- cesses (GPs) since ... See full document