نتایج جستجو برای: global translation

تعداد نتایج: 573235  

2013
Petra Van Damme

A combined analysis of transcription, translation and protein degradation reveals the global effects of an anticancer drug on tumour cells.

2017
Iacer Calixto Koel Dutta Chowdhury Qun Liu

We report experiments with multi-modal neural machine translation models that incorporate global visual features in different parts of the encoder and decoder, and use the VGG19 network to extract features for all images. In our experiments, we explore both different strategies to include global image features and also how ensembling different models at inference time impact translations. Our s...

Journal: :IEEE Access 2021

The cross-view image translation task is aimed at generating scene images from arbitrary views. However, due to the great differences in shapes and contents of various views, quality generated degraded. Small objects, such as vehicles’ details, are not clear, which causes them be structurally inconsistent with semantic map used guide generation process. To solve this problem, we propose a novel...

Journal: :IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2022

Most heterogeneous change detection methods based on transfer learning may not yield satisfactory results due to the lack of comprehensive utilization global and local characteristics image. In this paper, we propose an unsupervised method iterative joint global-local translation (IJGLT). The two images are firstly segmented into superpixels with same boundary. Unlike for classification tasks t...

2009
Andrei Alexandrescu Katrin Kirchhoff

Current phrase-based statistical machine translation systems process each test sentence in isolation and do not enforce global consistency constraints, even though the test data is often internally consistent with respect to topic or style. We propose a new consistency model for machine translation in the form of a graph-based semi-supervised learning algorithm that exploits similarities betwee...

2015
Jinsong Su Deyi Xiong Shujian Huang Xianpei Han Junfeng Yao

Lexical selection is of great importance to statistical machine translation. In this paper, we propose a graph-based framework for collective lexical selection. The framework is established on a translation graph that captures not only local associations between source-side content words and their target translations but also targetside global dependencies in terms of relatedness among target i...

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