This study aims at investigating voices in the Persian translation of Katherine Mansfield's The Garden Party. In so doing, after a stylistic analysis of the voices in the original is done, it is argued by the authors that the polyphonous nature of the story is to a great extent due to the deployment of various sociolects in the story as well as the choice of Free Indirect Discourse (FID) as the...

the dispute over form and meaning has a long history among translators and translation researchers, some believing the form to be of higher priority and hence choosing the literal method and others cherishing meaning and accordingly opting for free translation. the present study seeks to survey the preference of the readers for these styles so as to analyze the efficiency of each method. two tr...

Compositions of well-known tree-to-tree translation models used in statistical machine translation are investigated. Synchronous context-free grammars are closed under composition in both the unweighted as well as the weighted case. In addition, it is demonstrated that there is a close connection between compositions of synchronous tree-substitution grammars and compositions of certain tree tra...

This paper presents the first empirical results to our knowledge on learning synchronous grammars that generate logical forms. Using statistical machine translation techniques, a semantic parser based on a synchronous context-free grammar augmented with λoperators is learned given a set of training sentences and their correct logical forms. The resulting parser is shown to be the bestperforming...

We present a statistical phrase-based translation model that uses hierarchical phrases— phrases that contain subphrases. The model is formally a synchronous context-free grammar but is learned from a bitext without any syntactic information. Thus it can be seen as a shift to the formal machinery of syntaxbased translation systems without any linguistic commitment. In our experiments using BLEU ...

Word reordering is a crucial technique in statistical machine translation in which syntactic information plays an important role. Synchronous context-free grammar has typically been used for this purpose with various modifications for adding flexibilities to its synchronized tree generation. We permit further flexibilities in the synchronous context-free grammar in order to translate between la...

We present a statistical machine translation model that uses hierarchical phrases—phrases that contain subphrases. The model is formally a synchronous context-free grammar but is learned from a parallel text without any syntactic annotations. Thus it can be seen as combining fundamental ideas from both syntax-based translation and phrase-based translation. We describe our system’s training and ...

The NTT Statistical Machine Translation System consists of two primary components: a statistical machine translation decoder and a reranker. The decoder generates kbest translation canditates using a hierarchical phrase-based translation based on synchronous context-free grammar. The decoder employs a linear feature combination among several real-valued scores on translation and language models...