Quality estimation for machine translation is an important task. The standard automatic evaluation methods that use reference translations cannot perform the evaluation task well enough. These methods produce low correlation with human evaluation for English-Hungarian. Quality estimation is a new approach to solve this problem. This method is a prediction task estimating the quality of translat...

This paper describes the SHEF submissions for the three sub-tasks of the Quality Estimation shared task of WMT17, namely: (i) a word-level prediction system using bilexical embeddings, (ii) a phrase-level labelling approach based on the word-level predictions, (iii) a sentencelevel prediction system using word embeddings and handcrafted baseline features. Results are promising for the sentence-...

The quantitative assessment of the spectral estimation quality in multispectral imaging systems is an active field of research. The design and optimization of multispectral imaging systems are very dependent on how the cost function is selected. Several spectral estimation metrics have been used depending on the attribute it is intended to measure: visual matching, correlation of spectral curve...

Abstract— Quality assessment can be done using subjective listening tests or using objective quality measures. Objective measures quantify quality. The sentence material is chosen from IEEE corpus. Real world noise data was taken from the noisy speech corpus NOIZEUS. Alaryngeal speaker‘s voice (alaryngeal speech) is recorded. To enhance the quality of speech produced from the prosthetic device,...

We describe experiments on quality estimation to select the best translation among multiple options for a given source sentence. We consider a realistic and challenging setting where the translation systems used are unknown, and no relative quality assessments are available for the training of prediction models. Our findings indicate that prediction errors are higher in this blind setting. Howe...

This paper describes a study on the contribution of linguistically-informed features to the task of quality estimation for machine translation at sentence level. A standard regression algorithm is used to build models using a combination of linguistic and non-linguistic features extracted from the input text and its machine translation. Experiments with EnglishSpanish translations show that lin...