Hierarchical Phrase-Based Translation with Jane 2
نویسندگان
چکیده
منابع مشابه
Hierarchical Phrase-Based Translation with Jane 2
In this paper, we give a survey of several recent extensions to hierarchical phrase-based machine translation that have been implemented in version 2 of Jane, RWTH’s open source statistical machine translation toolkit. We focus on the following techniques: Insertion and deletionmodels, lexical scoring variants, reordering extensionswith non-lexicalized reordering rules and with a discriminative...
متن کاملJane 2: Open Source Phrase-based and Hierarchical Statistical Machine Translation
We present Jane 2, an open source toolkit supporting both the phrase-based and the hierarchical phrase-based paradigm for statistical machine translation. It is implemented in C++ and provides efficient decoding algorithms and data structures. This work focuses on the description of its phrase-based functionality. In addition to the standard pipeline, including phrase extraction and parameter o...
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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 ...
متن کاملHierarchical Phrase-based Translation Representations
This paper compares several translation representations for a synchronous context-free grammar parse including CFGs/hypergraphs, finite-state automata (FSA), and pushdown automata (PDA). The representation choice is shown to determine the form and complexity of target LM intersection and shortest-path algorithms that follow. Intersection, shortest path, FSA expansion and RTN replacement algorit...
متن کاملHierarchical Phrase-Based Translation with Suffix Arrays
A major engineering challenge in statistical machine translation systems is the efficient representation of extremely large translation rulesets. In phrase-based models, this problem can be addressed by storing the training data in memory and using a suffix array as an efficient index to quickly lookup and extract rules on the fly. Hierarchical phrasebased translation introduces the added wrink...
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ژورنال
عنوان ژورنال: The Prague Bulletin of Mathematical Linguistics
سال: 2012
ISSN: 1804-0462,0032-6585
DOI: 10.2478/v10108-012-0007-8