Модель на основе фраз

This paper proposes a statistical, tree- to-tree model for producing translations. Two main contributions are as follows: (1) a method for the extraction of syn- tactic structures with alignment informa- …...

We present two translation systems ex- perimented for the shared-task of “Work- shop on Statistical Machine Translation,” a phrase-based model and a hierarchical phrase-based model. The former uses a phrasal …...

We investigate why weights from generative mod- els underperform heuristic estimates in phrase- based machine translation. We first propose a sim- ple generative, phrase-based model and verify that its estimates …...

We describe our system for the news com- mentary translation task of WMT 2011. The submitted run for the French-English direction is a combination of two MOSES-based sys- tems developed …...

Previous models in syntax-based statistical machine translation usually resort to some kinds of synchronous procedures, few of these works are based on the analysis-transfer-generation methodology. In this paper, we present …...

AbstractRecent studies in machine translation support the fact that multi-model systems perform better than the individual models. In this paper, we describe a Hindi to English statistical machine translation system …...

This paper describes the AFRL sta- tistical MT system and the improve- ments that were developed during the WMT14 evaluation campaign. As part of these efforts we experimented with a …...

We describe an approach to word ordering using modelling techniques from statisti- cal machine translation. The system in- corporates a phrase-based model of string generation that aims to take unordered …...

In this paper, we explore statistical ma- chine translation (SMT) approaches to au- tomatic text simplification (ATS) for Span- ish. First, we compare the performances of the standard phrase-based (PB) …...

We propose a novel pipeline for translation into morphologically rich languages which consists of two steps: initially, the source string is enriched with target morphological features and then fed into …...

We apply phrase-based and neural models to a core task in interactive machine trans- lation: suggesting how to complete a par- tial translation. For the phrase-based sys- tem, we demonstrate …...

AbstractThis paper describes QCRI’s machine translation systems for the IWSLT 2016 evaluation campaign. We participated in the Arabic→English and English→Arabic tracks. We built both Phrase-based and Neural machine translation models, …...