Cleaning process of fron afternatives for SMT.

Bilingual Data Cleaning for SMT using Graph-based Random Walk

The quality of bilingual data is a key factor in Statistical Machine Translation (SMT). Low-quality bilingual data tends to produce incorrect translation knowledge and also degrades translation modeling performance. Previous work often used supervised learning methods to filter lowquality data, but a fair amount of human labeled examples are needed which are not easy to obtain. To reduce the re...

Tunable Distortion Limits and Corpus Cleaning for SMT

We describe the Uppsala University system for WMT13, for English-to-German translation. We use the Docent decoder, a local search decoder that translates at the document level. We add tunable distortion limits, that is, soft constraints on the maximum distortion allowed, to Docent. We also investigate cleaning of the noisy Common Crawl corpus. We show that we can use alignment-based filtering f...

Jerome Fron

There has been intense research in using degrees of freedom (or don't care conditions) to optimize sequential and combinational circuits. The scope of logic synthesis. however. is limited by the lack of information being passed from high-level synthesis tools. In this paper. we present a general framework to model the degrees of frea1om at the behavioral level. in a fonn that can be used by seq...

In-process monitoring techniques for laser cleaning

Diverse in-process monitoring techniques based on acoustic, chromatic and intelligent approaches have been developed for laser cleaning not only to achieve the sound-cleaned surface but also to control the process in an automatic manner. The cleaning of various materials such as copper, marble, paper have also been carried out by using Q-switched Nd:YAG radiation. The process was successfully m...

Evaluation of Ultrafiltration for In-process Recycling of Cleaning