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The classic Hierarchical Phrase-Based Trans- lation Model suffers from 3 defects: 1) an overly large model with a lot of useless or even wrong translation ...
The experiments show that the proposed methods can not only speed the decoding process but also improve the translation quality, including rule extraction ...
This paper presents a solution to improve the reordering of hierarchical phrase-based translation model. We propose a two-step method to extract improved ...
In this paper we describe the design and imple- mentation of our hierarchical phrase-based model, and report on experiments that demonstrate that hi- erarchical ...
This paper presents a solution to improve the reordering of hierarchical phrase-based translation model. We propose a two-step method to extract improved ...
These phrases allow a model to learn local reorderings, translations of multiword expressions, or insertions and deletions that are sensitive to local context.
Bowen Zhou. In this paper, we present a novel approach to enhance hierarchical phrase-based machine translation systems with linguistically motivated syntactic ...
Abstract Statistical models for reordering source words have been used to enhance hierarchical phrase-based statistical machine translation. There are.
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In this paper, we propose a novel method of reducing the size of translation model for hierarchical phrase-based machine translation systems.
In this paper, we present a reordering model based on Maximum Entropy with local and non-local features. This model is extended from a hierarchical ...