[PDF] Top 20 Online Multitask Learning for Machine Translation Quality Estimation

... an online fashion and from an input stream of instances from all the ...the online passive aggressive (PA) al- gorithm (Crammer et ...the multitask scenario, learning a set of task-specific ... See full document

... Table 1 shows the results obtained for all datasets. The first two columns shows an interesting finding in terms of model learning: using a warping func- tion drastically decreases both NLL and NLPD. The main ... See full document

... present online learning techniques for statistical machine translation ...of translation agencies or the daily translation of government ...batch learning techniques ... See full document

... the translation industry. Nowadays, translation companies must be more competitive than ever and meet fast commercial ...high quality translations in shorter periods of time. Machine ... See full document

... automatic estimation of machine translation (MT) output quality is a hard task in which the selection of the appro- priate algorithm and the most predictive features over reasonably sized ... See full document

... the translation quality of the first translation hypothesis produced by the IMT sys- tem for each source sentence (which is automatically generated without user ... See full document

... The amount of reordering done as measured in this paper can suffice to indicate irregularities in reordering through the learning methods. How- ever, simply relying on counting crossings in 1- 1 alignments, could ... See full document

... Setting smaller batch size implies frequent up- dates to the parameters and a faster convergence. However, as briefly mentioned in Haddow et al. (2011), setting batch size to a smaller value, such as | b | = 1, does not ... See full document

... Recent work in QE focused on aspects that are problematic even in the controlled WMT scenario, and are closely related to the flexibility/adaptability issue. Focusing on the first of the two aforementioned directions ... See full document

... To exploit parse tree information in our Machine Learning (ML) component, we used tree kernel functions. Tree kernels (Collins and Duffy, 2001) are kernel functions defined over pairs of tree struc- tures. ... See full document

... Neural Machine Translation (NMT), a data- hungry technology, suffers from the lack of bilingual data in low-resource ...titask learning (MTL) can alleviate this is- sue by injecting inductive biases ... See full document

... neural machine translation, the MT has reached at the level of performance where it can be allowed for their integration into the real-world translation ...the translation quality as ... See full document

... task learning for quality estimation has concentrated on the problem of learning prediction models from little data provided by different ... See full document

... on Quality Estima- tion (QE), ...supervised Machine Learning (ML) problem and designed additional features and combined these with the baseline feature set to estimate ...different learning ... See full document

... three translation tasks: Machine Translation of News, Biomedical Translation, and Multimodal Machine Translation, two evaluation tasks: Metrics and Quality ... See full document

... regression learning and based on a set of weaker indicators of fluency and adequacy as pseudo ...Confidence Estimation features and a learning mechanism trained on human ...traditional machine ... See full document

... a machine learning ...and translation texts, and a few resources (where available) such as the MT source training corpus and source and target lan- guage models ... 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

... 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

... Quality estimation task in WMT18 (Specia et al., 2018) (QET18) address machine translation per- formance prediction (MTPP), where translation quality is predicted without using ... See full document