[PDF] Top 20 Quality estimation for Machine Translation output using linguistic analysis and decoding features

... the Quality Estimation task of the Workshop on Machine Translation (WMT) 2012 (Callison-Burch et ...one translation generated by a state-of- the-art phrase-based SMT ...The ... See full document

... Statistical Machine Translation (WMT) (Callison-Burch et ...applying machine learning techniques to model the human annotators’ ...choices. Machine Learning methods over previously released ... See full document

... In the “QE as APE activator” and “QE as MT/APE selector” strategies, the interaction between the QE and the APE systems is performed before and after decoding. For this reason, we directly take the submissions of ... See full document

... references-based features are BLEU scores ex- tracted by comparing the output of the MT sys- tem under investigation and the output of an off- the-shelf MT system, for both the target and the source ... See full document

... as Machine Translation, Automatic Summariza- tion, Sentence Compression and Language Gen- ...system output quality according to its similarity to human references is not a trivial ... See full document

... major linguistic bottlenecks of these MT programs were in the areas of Morphology, Complex Sentences, Syntactic Ambiguity & Semantic Analysis, Generation of Persian, and Long ...semantic ... See full document

... ity analysis of the translation output and the trans- lation process in order to provide features for the supervised machine learning mechanism, which is then trained over the ... See full document

... of translation with a high ...the quality of which can affect its performance: 1) predicate-argument structure of the source and target side of the translation, 2) alignment of predicate-argument ... 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 ... See full document

... Edinburgh’s machine trans- lation systems for European language ...chine Translation, pages 114–121, Sofia, Bulgaria, ...retraining using a treebank of un- grammatical ...Document Analysis and ... See full document

... our Machine Learning (ML) component, we used tree kernel ...fragments. Features are thus available to cover different kinds of abstract node configurations that can occur in a ... See full document

... Table 2: Performance on the WMT12 corpus The official evaluation scores of the testing re- sults on WMT 13 corpus are shown in Table 3. The testing results show similar scores as com- pared to the training scores (the ... See full document

... MT quality assessment was ini- tially approached as a Confidence Estimation task, strongly biased towards exploiting data from a Sta- tistical MT (SMT) system and the translation pro- cess to model ... See full document

... With the great success of deep learning that has been achieved in digital image processing and au- tomatic speech recognition, deep learning has also made tremendous breakthroughs in natural lan- guage processing, e.g., ... See full document

... Several features in this task are considered outliers with respect to the same features in the other ...the features marked with in Section 4.2. These outlier features are directly affected by ... See full document

... improve machine translation ...confidence estimation us- ing system-based features, such as word posterior probabilities calculated from N- best lists or word ...of linguistic fea- ... See full document

... automatic output quality estimation (QE) is an established field of research in other areas of NLP, such as machine translation (MT) (Specia et ...on output fluency only (Tian et ... See full document

... supervised machine learning task using a variety of algorithms to in- duce models from examples of sentence transla- tions annotated with quality labels ...tical Machine Translation ... See full document

... speech translation system that can deal with real life ...three translation directions: Spanish to English, English to Spanish and Chinese to ...the output of an auto- matic speech recognition ... See full document

... Quality estimation evaluation commonly takes the form of measurement of the error that exists between predictions and gold standard labels for a particular test set of ...of quality estimation ... See full document