Quality Estimation of Machine Translation Outputs Through Stemming
نویسندگان
چکیده
منابع مشابه
Quality Estimation Of Machine Translation Outputs Through Stemming
Machine Translation is the challenging problem for Indian languages. Every day we can see some machine translators being developed , but getting a high quality automatic translation is still a very distant dream . The correct translated sentence for Hindi language is rarely found. In this paper, we are emphasizing on English-Hindi language pair, so in order to preserve the correct MT output we ...
متن کاملComparative Quality Estimation: Automatic Sentence-Level Ranking of Multiple Machine Translation Outputs
A machine learning mechanism is learned from human annotations in order to perform preference ranking. The mechanism operates on a sentence level and ranks the alternative machine translations of each source sentence. Rankings are decomposed into pairwise comparisons so that binary classifiers can be trained using black-box features of automatic linguistic analysis. In order to re-compose the p...
متن کاملImproving Evaluation of Machine Translation Quality Estimation
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 translations. Issues can arise during comparison of quality estimation prediction score distributions and gold label distributions, however. In this paper, we provide an analysis of methods of comparison and identify areas of con...
متن کاملQualitative: Open source Python tool for Quality Estimation over multiple Machine Translation outputs
Qualitative” is a python toolkit for ranking and selection of sentence-level output by different MT systems using Quality Estimation. The toolkit implements a basic pipeline for annotating the given sentences with black-box features. Consequently, it applies a machine learning mechanism in order to rank data based on models pre-trained on human preferences. The preprocessing pipeline includes s...
متن کاملTree Kernels for Machine Translation Quality Estimation
This paper describes Uppsala University’s submissions to the Quality Estimation (QE) shared task at WMT 2012. We present a QE system based on Support Vector Machine regression, using a number of explicitly defined features extracted from the Machine Translation input, output and models in combination with tree kernels over constituency and dependency parse trees for the input and output sentenc...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal on Computational Science & Applications
سال: 2014
ISSN: 2200-0011
DOI: 10.5121/ijcsa.2014.4302