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A Systematic Comparison of Smoothing Techniques for Sentence-Level BLEU
BLEU is the de facto standard machine translation (MT) evaluation metric. How- ever, because BLEU computes a geo- metric mean of n-gram precisions, it of- ten correlates poorly with human judg- mentExpand
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Cost Weighting for Neural Machine Translation Domain Adaptation
In this paper, we propose a new domain adaptation technique for neural machine translation called cost weighting, which is appropriate for adaptation scenarios in which a small in-domain data set andExpand
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Alibaba Submission for WMT18 Quality Estimation Task
The goal of WMT 2018 Shared Task on Translation Quality Estimation is to investigate automatic methods for estimating the quality of machine translation results without reference translations. ThisExpand
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Vector Space Model for Adaptation in Statistical Machine Translation
This paper proposes a new approach to domain adaptation in statistical machine translation (SMT) based on a vector space model (VSM). The general idea is first to create a vector profile for theExpand
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Improving AMBER, an MT Evaluation Metric
A recent paper described a new machine translation evaluation metric, AMBER. This paper describes two changes to AMBER. The first one is incorporation of a new ordering penalty; the second one is theExpand
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Bilingual Methods for Adaptive Training Data Selection for Machine Translation
In this paper, we propose a new data selection method which uses semi-supervised convolutional neural networks based on bitokens (Bi-SSCNNs) for training machine translation systems from a largeExpand
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AMBER: A Modified BLEU, Enhanced Ranking Metric
This paper proposes a new automatic machine translation evaluation metric: AMBER, which is based on the metric BLEU but incorporates recall, extra penalties, and some text processing variants. ThereExpand
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Adaptation of Reordering Models for Statistical Machine Translation
Previous research on domain adaptation (DA) for statistical machine translation (SMT) has mainly focused on the translation model (TM) and the language model (LM). To the best of our knowledge, thereExpand
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Unpacking and Transforming Feature Functions : New Ways to Smooth Phrase Tables
State of the art phrase-based statistical machine translation systems typically contain two features which estimate the “forward” and “backward” conditional translation probabilities for a given pairExpand
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Alibaba's Neural Machine Translation Systems for WMT18
This paper describes the submission systems of Alibaba for WMT18 shared news translation task. We participated in 5 translation directions including English↔ Russian, English ↔ Turkish in bothExpand
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