Cordon-Bleu is, like Spire, a member of the growing family of WH2 repeat proteins, which emerge as versatile regulators of actin dynamics. They are expressed in morphogenetic and patterning processes and nucleate actin assembly in vitro. Here, we show that Cordon-Bleu works as a dynamizer of actin assembly by combining many properties of profilin with weak filament nucleating and powerful filam...

We propose a novel objective function for discriminatively tuning log-linear machine translation models. Our objective explicitly optimizes the BLEU score of expected n-gram counts, the same quantities that arise in forestbased consensus and minimum Bayes risk decoding methods. Our continuous objective can be optimized using simple gradient ascent. However, computing critical quantities in the ...

Confusion networks are a simple representation of multiple speech recognition or translation hypotheses in a machine translation system. A typical operation on a confusion network is to find the path which minimizes or maximizes a certain evaluation metric. In this article, we show that this problem is generally NP-hard for the popular BLEU metric, as well as for smaller variants of BLEU. This ...

Automatic evaluation of machine translation (MT) quality is essential in developing high quality MT systems. Despite previous criticisms, BLEU remains the most popular machine translation metric. Previous studies on the schism between BLEU and manual evaluation highlighted the poor correlation between MT systems with low BLEU scores and high manual evaluation scores. Alternatively, the RIBES me...

Image description is a new natural language generation task, where the aim is to generate a human-like description of an image. The evaluation of computer-generated text is a notoriously difficult problem, however, the quality of image descriptions has typically been measured using unigram BLEU and human judgements. The focus of this paper is to determine the correlation of automatic measures w...

This paper describes the Dublin City University terminology translation system used for our participation in the query translation subtask in the medical translation task in the Workshop on Statistical Machine Translation (WMT14). We deployed six different kinds of terminology extraction methods, and participated in three different tasks: FR–EN and EN– FR query tasks, and the CLIR task. We obta...

System architecture, experimental settings and evaluation results of EHR group in the en-ja, zh-ja, JPCzh-ja and JPCko-ja tasks are described. Our system concept is combination of a rule based method and a statistical method. System combination of rule-based machine translation (RBMT), RBMT plus statistical post-editing (SPE) and preordering plus statistical machine translation (SMT) is conduct...