Named entity translation is indispensable in cross language information retrieval nowadays. We propose an approach of combining lexical information, web statistics, and inverse search based on Google to backward translate a Chinese named entity (NE) into English. Our system achieves a high Top-1 accuracy of 87.6%, which is a relatively good performance reported in this area until present.

We tackle the problem of relating models of systems (mainly biological systems) based on stochastic process algebras (SPA) with models based on differential equations. We define a syntactic procedure that translates programs written in stochastic Concurrent Constraint Programming (sCCP) into a set of Ordinary Differential Equations (ODE), and also the inverse procedure translating ODE’s into sC...

This paper describes the statistical machine translation (SMT) systems developed by RWTH Aachen University for the Patent Translation task of the 10th NTCIR Workshop. Both phrase-based and hierarchical SMT systems were trained for the Japanese-English and Chinese-English tasks. Experiments were conducted to compare standard and inverse direction decoding, the performance of several additional m...

Herein, we describe a fast and robust method for achieving (68)Ga-labelling of the EGFR-selective monoclonal antibody (mAb) Cetuximab using the bioorthogonal Inverse-electron-Demand Diels-Alder (IeDDA) reaction. The in vivo imaging of EGFR is demonstrated, as well as the translation of the method within a two-step pretargeting strategy.

Rehabilitation practice following amputation uses gait training to improve ambulation and reduce adverse effects of overloading the musculoskeletal system [1]. These patients exhibit compensatory movement patterns, which are difficult to treat, and are prone to misidentification through observation. Quantitative biomechanics provides a combination of variables that identify movement compensatio...

We perform a detailed theoretical and empirical comparison of the dual and hidden variable encodings of non-binary constraint satisfaction problems. We identify a simple relationship between the two encodings by showing how we can translate between the two by composing or decomposing relations. This translation suggests that we will tend to achieve more pruning in the dual than in the hidden va...

This article proposes a new framework to regularize imaging linear inverse problems using an adaptive non-local energy. A non-local graph is optimized to match the structures of the image to recover. This allows a better reconstruction of geometric edges and textures present in natural images. A fast algorithm computes iteratively both the solution of the regularization process and the non-loca...

Matrix relations for dynamics analysis of a spatial translational 3-UPU parallel mechanism are established in this paper. Three identical legs connect the moving platform by universal joints. Knowing the translation motion of the platform, inverse dynamics problem is solved using an approach based on explicit equations of parallel robots dynamics, but it has been verified the results in the fra...

This paper investigates the relationship between the Logical Algorithms language (LA) of Ganzinger and McAllester and Constraint Handling Rules (CHR). We present a translation schema from LA to CHR: CHR with rule priorities, and show that the meta-complexity theorem for LA can be applied to a subset of CHR via inverse translation. Inspired by the high-level implementation proposal for Logical A...