Naively collecting translations by crowdsourcing the task to non-professional translators
yields disfluent, low-quality results if no quality control is exercised. We demonstrate a …

Recent work has established the efficacy of Amazon's Mechanical Turk for constructing
parallel corpora for machine translation research. We apply this to building a collection of …

We present a large scale study of the languages spoken by bilingual workers on Mechanical
Turk (MTurk). We establish a methodology for determining the language skills of anonymous …

The parameters of statistical translation models are typically estimated from sentence-
aligned parallel corpora. We show that significant improvements in the alignment and …

Systems and methods for generating trust scores for transla tions are described herein.
According to some embodiments, methods for generating a trust score for a translation may …

33 input Source Language String tables. The channel operations may include reordering
child nodes, inserting extra words at each node (eg, NULL words) translating leaf words …

US PATENT DOCUMENTS selected. The domain-based translation engine may be asso
ciated with a source language, a target language, and a domain. The text string is translated …

US8296127B2 - Discovery of parallel text portions in comparable collections of corpora and
training using comparable texts - Google Patents US8296127B2 - Discovery of parallel text …

Machine translation (MT) is considered an important task that can be used to attain
information from documents written in different languages. In the current paper, we discuss …

A system with a nonstatistical translation component integrated with a statistical translation
component engine. The same corpus may be used for training the statistical engine and also …