Index of papers in Proc. ACL 2008 that mention
  • end-to-end
Hermjakob, Ulf and Knight, Kevin and Daumé III, Hal
Abstract
We present a method to transliterate names in the framework of end-to-end statistical machine translation.
End-to-End results
Finally, here are end-to-end machine translation results for three sentences, with and without the transliteration module, along with a human reference translation.
Evaluation
In the result section of this paper, we will use the NEWA metric to measure and compare the accuracy of NE translations in our end-to-end SMT translations and four human reference translations.
Introduction
The task of transliterating names (independent of end-to-end MT) has received a significant amount of research, e.g., (Knight and Graehl, 1997; Chen et al., 1998; Al-Onaizan, 2002).
Introduction
Most of this work has been disconnected from end-to-end MT, a problem which we address head-on in this paper.
end-to-end is mentioned in 5 sentences in this paper.
Topics mentioned in this paper:
Deng, Yonggang and Xu, Jia and Gao, Yuqing
Abstract
We present a generic phrase training algorithm which is parameterized with feature functions and can be optimized jointly with the translation engine to directly maximize the end-to-end system performance.
Conclusions
It can be optimized jointly with the translation engine to directly maximize the end-to-end translation performance.
Experimental Results
Since the translation engine implements a log-linear model, the discriminative training of feature weights in the decoder should be embedded in the whole end-to-end system jointly with the discriminative phrase table training process.
end-to-end is mentioned in 3 sentences in this paper.
Topics mentioned in this paper:
Zhang, Hao and Quirk, Chris and Moore, Robert C. and Gildea, Daniel
Abstract
This preference for sparse solutions together with effective pruning methods forms a phrase alignment regimen that produces better end-to-end translations than standard word alignment approaches.
Experiments
7.2 End-to-end Evaluation
Experiments
Given an unlimited amount of time, we would tune the prior to maximize end-to-end performance, using an objective function such as BLEU.
end-to-end is mentioned in 3 sentences in this paper.
Topics mentioned in this paper: