首页> 外文会议>10th Workshop on statistical machine translation 2015 >ParFDA for Fast Deployment of Accurate Statistical Machine Translation Systems, Benchmarks, and Statistics
【24h】

ParFDA for Fast Deployment of Accurate Statistical Machine Translation Systems, Benchmarks, and Statistics

机译:ParFDA用于快速部署准确的统计机器翻译系统,基准和统计数据

获取原文
获取原文并翻译 | 示例

摘要

We build parallel FDA5 (ParFDA) Moses statistical machine translation (SMT) systems for all language pairs in the workshop on statistical machine translation (Bojar et al., 2015) (WMT15) translation task and obtain results close to the top with an average of 3.176 BLEU points difference using significantly less resources for building SMT systems. ParFDA is a parallel implementation of feature decay algorithms (FDA) developed for fast deployment of accurate SMT systems (Bicici, 2013; Bicici et al., 2014; Bicici and Yuret, 2015). ParFDA Moses SMT system we built is able to obtain the top TER performance in French to English translation.
机译:我们在统计机器翻译(Bojar et al。,2015)(WMT15)翻译任务研讨会上为所有语言对构建了并行的FDA5(ParFDA)摩西统计机器翻译(SMT)系统,并获得了接近最高结果的平均值3.176 BLEU点差使用的建筑SMT系统的资源明显减少。 ParFDA是功能衰减算法(FDA)的并行实现,旨在快速部署精确的SMT系统(Bicici,2013; Bicici等,2014; Bicici和Yuret,2015)。我们构建的ParFDA Moses SMT系统能够获得法语到英语翻译的最佳TER性能。

著录项

  • 来源
  • 会议地点 Lisbon(PT)
  • 作者

    Ergun Bicici; Qun Liu; Andy Way;

  • 作者单位

    ADAPT Research Center School of Computing Dublin City University, Ireland;

    ADAPT Research Center School of Computing Dublin City University, Ireland;

    ADAPT Research Center School of Computing Dublin City University, Ireland;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号