This paper reports an overview of the evaluation campaign results of the IWSLT 2005
workshop1. The BTEC corpus, which consists of typical travel domain phrases, was used …

We propose a novel HMM-based framework to accurately transliterate unseen named
entities. The framework leverages features in letteralignment and letter n-gram pairs learned …

The language model of the target language plays an important role in statistical machine
translation systems. In this work, we propose to use a new statistical language model that is …

在对当前几种较流行的统计机器翻译多系统融合方法分析的基础上, 提出了一种改进的多系统
融合框架, 该框架集成了最小贝叶斯风险解码和多特征混淆网络解码两种技术. 融合过程如下:(1) …

In this paper we present how to estimate a continuous space Language Model with a Neural
Network to be used in a Statistical Machine Translation system. We report results for an …

This monographic work is devoted to the application of current Natural Language
Processing technology to Empirical Machine Translation and its Evaluation. On the one side …

This paper describes the UKA/CMU statistical machine translation system used in the IWSLT
2006 evaluation campaign. The system is based on phrase-to-phrase translations extracted …

We present a novel approach for parameter adjustment in empirical machine translation
systems. Instead of relying on a single evaluation metric, or in an ad-hoc linear combination …

In this paper we describe recent improvements to components and methods used in our
statistical machine translation system for Chinese-English used in the January 2008 GALE …

On the one side, we have studied the problem of automatic MT evaluation. We have
analyzed the main deficiencies of current evaluation methods, which arise, in our opinion …