Фразаға негізделген аударма моделі

We propose a new phrase-based translation model and decoding algorithm that enables us to evaluate and compare several, previ- ously proposed phrase-based translation mod- els. Within our framework, we carry …...

. In this paper we introduce Linear B's statistical machine translation system. We describe how Linear B's phrase-based translation models are learned from a parallel corpus, and show how the …...

. This paper describes how word alignment information makes machine translation more effi- cient. Following a statistical approach based on finite-state transducers, we perform reordering of source sentences in training …...

AbstractThe more expressive and flexible a base formalism for machine translation is, the less efficient parsing of it will be. However, even among formalisms with the same parse complexity, some …...

Community-based question answer (Q&A) has become an important issue due to the pop- ularity of Q&A archives on the web. This pa- per is concerned with the problem of ques- …...

In this paper, we propose a recurrent neural network-based tuple sequence model (RNNTSM) that can help phrase-based translation model overcome the phrasal independence assumption. Our RNNTSM can potentially capture arbitrary …...

This paper describes the DCU submis- sion to WMT 2014 on German-English translation task. Our system uses phrase- based translation model with several pop- ular techniques, including Lexicalized Reordering Model, …...

This paper presented the joined submis- sion of KIT and LIMSI to the English to German translation task of WMT 2015. In this year submission, we integrated a neu- ral …...