Submissions bode well for 2014

Stanford University ' s Submissions to the WMT 2014 Translation

We describe Stanford’s participation in the French-English and English-German tracks of the 2014 Workshop on Statistical Machine Translation (WMT). Our systems used large feature sets, word classes, and an optional unconstrained language model. Among constrained systems, ours performed the best according to uncased BLEU: 36.0% for French-English and 20.9% for English-German.

Explorer Stanford University ' s Submissions to the WMT 2014 Translation

We describe Stanford’s participation in the French-English and English-German tracks of the 2014 Workshop on Statistical Machine Translation (WMT). Our systems used large feature sets, word classes, and an optional unconstrained language model. Among constrained systems, ours performed the best according to uncased BLEU: 36.0% for French-English and 20.9% for English-German.

Sister Mary Joseph nodule: it does not bode well

Autopsy and Case Reports. ISSN 2236-1960. Copyright © 2014. This is an Open Access article distributed of terms of the Creative Commons Attribution Non-Commercial License which permits unrestricted noncommercial use, distribution, and reproduction in any medium provided article is properly cited. Sister Mary Joseph, the superintendent nurse and surgical assistant of Dr. William Mayo at St Mary’...

Stanford University's Submissions to the WMT 2014 Translation Task

We describe Stanford’s participation in the French-English and English-German tracks of the 2014 Workshop on Statistical Machine Translation (WMT). Our systems used large feature sets, word classes, and an optional unconstrained language model. Among constrained systems, ours performed the best according to uncased BLEU: 36.0% for French-English and 20.9% for English-German.

Does New Technology Bode Well for Working Women ? : An Evaluation and Analysis