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A Survey of Word Reordering in Statistical Machine Translation: Computational Models and Language Phenomena
Computational Models Language Phenomena
2016/7/7
Word reordering is one of the most difficult aspects of statistical machine translation (SMT),
and an important factor of its quality and efficiency. Despite the vast amount of research
published to...
Optimization for Statistical Machine Translation:A Survey
Optimization Statistical Machine Translation
2016/4/7
In statistical machine translation (SMT), the optimization of the system parameters to maximize translation accuracy is now a fundamental part of virtually all modern systems. In this article, we surv...
Online Learning for Statistical Machine Translation
Online Learning Statistical Machine Translation
2016/4/7
We present online learning techniques for statistical machine translation (SMT). The availability of large training data sets that grow constantly over time is becoming more and more frequent in the f...
The Operation Sequence Model—Combining N-Gram-Based and Phrase-Based Statistical Machine Translation
Operation Sequence Model Combining N-Gram Phrase-Based Statistical Machine Translation
2015/9/15
In this article, we present a novel machine translation model, the Operation Sequence Model (OSM), which combines the benefits of phrase-based and N-gram-based statistical machine translation (SMT) an...
Pushdown Automata in Statistical Machine Translation
Pushdown Automata Statistical Machine Translation
2015/9/14
This article describes the use of pushdown automata (PDA) in the context of statistical machine translation and alignment under a synchronous context-free grammar. We use PDAs to compactly represent t...
Improving Statistical Machine Translation by Adapting Translation Models to Translationese
Statistical Machine Translation Translation Models Translationese
2015/9/11
Translation models used for statistical machine translation are compiled from parallel corpora that are manually translated. The common assumption is that parallel texts are symmetrical: The direction...
Generation of Compound Words in Statistical Machine Translation into Compounding Languages
Compound Words Statistical Machine Translation Compounding Languages
2015/9/11
In this article we investigate statistical machine translation (SMT) into Germanic languages, with a focus on compound processing. Our main goal is to enable the generation of novel compounds that hav...
Query Rewriting Using Monolingual Statistical Machine Translation
Query Rewriting Monolingual Statistical Machine Translation
2015/9/8
Long queries often suffer from low recall in Web search due to conjunctive term matching. The chances of matching words in relevant documents can be increased by rewriting query terms into new terms w...
String-to-Dependency Statistical Machine Translation
String-to-Dependency Statistical Machine Translation
2015/9/8
We propose a novel string-to-dependency algorithm for statistical machine translation. This algorithm employs a target dependency language model during decoding to exploit long distance word relations...
A Unified Model for Soft Linguistic Reordering Constraints in Statistical Machine Translation
Soft Linguistic Reordering Constraints Statistical Machine Translation
2015/9/2
This paper explores a simple and effective unified framework for incorporating soft linguistic reordering constraints into a hierarchical phrase-based translation system: 1) a syntactic reordering mod...
Measuring Word Alignment Quality for Statistical Machine Translation
Statistical Machine Translation Alignment Quality
2015/9/2
Automatic word alignment plays a critical role in statistical machine translation. Unfortunately, the relationship between alignment quality and statistical machine translation performance has not bee...
Statistical Machine Translation with Scarce Resources Using Morpho-syntactic Information
Scarce Resources Morpho-syntactic Information
2015/8/31
In statistical machine translation, correspondences between the words in the source and the
target language are learned from parallel corpora, and often little or no linguistic knowledge is
used to ...
The Alignment Template Approach to Statistical Machine Translation
Alignment Template Approach Statistical Machine Translation
2015/8/31
A phrase-based statistical machine translation approach — the alignment template approach — is described. This translation approach allows for general many-to-many relations between words.Thereby, the...
Word Reordering and a Dynamic Programming Beam Search Algorithm for Statistical Machine Translation
Word Reordering Beam Search Algorithm Statistical Machine Translation
2015/8/28
In this article, we describe an efficient beam search algorithm for statistical machine translation based on dynamic programming (DP). The search algorithm uses the translation model presented in Brow...
Stanford University’s Arabic-to-English Statistical Machine Translation System for the 2009 NIST MT Open Evaluation
Stanford University Arabic-to-English Statistical Machine Translation System the 2009 NIST MT Open
2015/6/12
This document describes Stanford University’s first entry into a NIST Arabic-English MT evaluation. We describe two main improvements over a previous Chinese-English submission (Galley et al., 2008): ...