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In this study, a learning device based on the PAT- tree data structures was developed. The original PAT-trees were enhanced with the deletion function to emulate human learning competence. The …...

State-of-the-art Machine Translation (MT) systems are still far from being perfect. An al- ternative is the so-called Interactive Machine Translation (IMT) framework. In this frame- work, the knowledge of a …...

Sequence labeling models like conditional random fields have been successfully applied in a variety of NLP tasks. However, as the size of label set and dataset grows, the learning speed …...

Open issue trackers are a type of social me- dia that has received relatively little atten- tion from the text-mining community. We investigate the problems inherent in learn- ing to …...

We present a novel online learning ap- proach for statistical machine translation tailored to the computer assisted transla- tion scenario. With the...

We turn the Eisner algorithm for parsing to projective dependency trees into a cubic- time algorithm for parsing to a restricted class of directed graphs. To extend the algo- rithm …...

Word embeddings encode semantic mean- ings of words into low-dimension word vectors. In most word embeddings, one cannot interpret the meanings of specific dimensions of those word vectors. Non- negative …...

AbstractIn Machine Translation, assessing the quality of a large amount of automatic translations can be challenging. Automatic metrics are not reliable when it comes to high performing systems. In addition, …...

AbstractAdaptive Machine Translation purports to dynamically include user feedback to improve translation quality. In a post-editing scenario, user corrections of machine translation output are thus continuously incorporated into translation models, …...