Abstract. In this paper we present an analysis of a phrase-based ma-chine translation methodology that integrates paraphrases obtained from an intermediary language (French) for translations between Spanish and English. The purpose of the research presented in this document is to find out how much extra information (i.e. improvements in translation quality) can be found when using Translation Paraphrases (TPs). In this document we present an extensive statistical analysis to support conclusions.
Phrase-Based Statistical Machine Translation systems model the translation process using pairs of co...
A machine translation model has been pro-posed where an input is translated through both source-lang...
International audienceFollowing the growing trend in the semantics community towards models adapted ...
Statistical methods have proven to be very effective when addressing linguistic problems, specially ...
Paraphrases are different phrases carrying similar meaning in one language. Translation paraphrases ...
Statistical Machine Translation (SMT) is the task of automatic translation between two natural langu...
Abstract: We present a method for improving machine translation (MT) evaluation by targeted paraphra...
We present a method for improving machine translation (MT) evaluation by targeted paraphrasing of r...
In the past few decades machine translation research has made major progress. A researcher now has a...
Most state-of-the-art statistical machine translation systems use log-linear models, which are defin...
When a machine translation (MT) system receives input sentences of spoken language, the following tw...
Targeted paraphrasing is a new approach to the problem of obtaining cost-effective, reasonable quali...
We propose a novel approach to automatic machine translation evaluation based on paraphrase identifi...
The multilingual Paraphrase Database (PPDB) is a freely available automatically created resource of ...
In this paper we investigate the automatic generation of paraphrases by using machine translation te...
Phrase-Based Statistical Machine Translation systems model the translation process using pairs of co...
A machine translation model has been pro-posed where an input is translated through both source-lang...
International audienceFollowing the growing trend in the semantics community towards models adapted ...
Statistical methods have proven to be very effective when addressing linguistic problems, specially ...
Paraphrases are different phrases carrying similar meaning in one language. Translation paraphrases ...
Statistical Machine Translation (SMT) is the task of automatic translation between two natural langu...
Abstract: We present a method for improving machine translation (MT) evaluation by targeted paraphra...
We present a method for improving machine translation (MT) evaluation by targeted paraphrasing of r...
In the past few decades machine translation research has made major progress. A researcher now has a...
Most state-of-the-art statistical machine translation systems use log-linear models, which are defin...
When a machine translation (MT) system receives input sentences of spoken language, the following tw...
Targeted paraphrasing is a new approach to the problem of obtaining cost-effective, reasonable quali...
We propose a novel approach to automatic machine translation evaluation based on paraphrase identifi...
The multilingual Paraphrase Database (PPDB) is a freely available automatically created resource of ...
In this paper we investigate the automatic generation of paraphrases by using machine translation te...
Phrase-Based Statistical Machine Translation systems model the translation process using pairs of co...
A machine translation model has been pro-posed where an input is translated through both source-lang...
International audienceFollowing the growing trend in the semantics community towards models adapted ...