A Shared Task on Bandit Learning for Machine Translation

We introduce and describe the results of a novel shared task on bandit learning for machine translation. The task was organized jointly by Amazon and Heidelberg University for the first time at the Second Conference on Machine Translation (WMT 2017). The goal of the task is to encourage research on learning machine translation from weak user feedback instead of human references or post-edits. On each of a sequence of rounds, a machine translation system is required to propose a translation for an input, and receives a real-valued estimate of the quality of the proposed translation for learning. This paper describes the shared task's learning and evaluation setup, using services hosted on Amazon Web Services (AWS), the data and evaluation metrics, and the results of various machine translation architectures and learning protocols.Comment: Conference on Machine Translation (WMT) 201

Establishing a Leaf Proteome Reference Map for <i>Ginkgo biloba</i> Provides Insight into Potential Ethnobotanical Uses

Although ginkgo (Maidenhair tree, Ginkgo biloba L.) is an ancient medicinal and ornamental tree, there has not previously been any systematic proteomic study of the leaves. Herein we describe results from the initial study identifying abundant ginkgo leaf proteins and present a gel reference map. Proteins were isolated from fully developed mature leaves in biological triplicate and analyzed by two-dimensional electrophoresis plus tandem mass spectrometry. Using this approach, we were able to reproducibly quantify 190 abundant protein spots, from which 157 proteins were identified. Most of identified proteins are associated with the energy and protein destination/storage categories. The reference map provides a basis for understanding the accumulation of flavonoids and other phenolic compounds in mature leaves (e.g., identification of chalcone synthase, the first committed enzyme in flavonoid biosynthesis). We additionally detected several proteins of as yet unknown function. These proteins comprise a pool of potential targets that might be useful in nontraditional medical applications