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Source Language Adaptation Approaches for Resource-Poor Machine Translation
Source Language Adaptation Approaches Resource-Poor Machine Translation
2016/7/7
Most of the world languages are resource-poor for statistical machine translation; still, many
of them are actually related to some resource-rich language. Thus, we propose three novel,
language-ind...
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...
Phrase Dependency Machine Translation with Quasi-Synchronous Tree-to-Tree Features
phrase translation
2015/9/14
Recent research has shown clear improvement in translation quality by exploiting linguistic
syntax for either the source or target language. However, when using syntax for both languages
(“tree-to-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...
Language Models for Machine Translation:Original vs. Translated Texts
Language Models Machine Translation Original vs.Translated Texts
2015/9/10
We investigate the differences between language models compiled from original target-language texts and those compiled from texts manually translated to the target language. Corroborating established ...
Towards Automatic Error Analysis of Machine Translation Output
Automatic Error Analysis Machine Translation Output
2015/9/9
Evaluation and error analysis of machine translation output are important but difficult tasks. In this article, we propose a framework for automatic error analysis and classification based on the iden...
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...
Applying Automatically Generated Semantic Knowledge A Case Study in Machine Translation
Applying Automatically Generated Semantic Knowledge Machine Translation
2015/9/2
In this paper, we discuss how we apply automatically generated semantic knowledge to benefit statisticalmachine translation (SMT). Currently, almost all statistical machine translation systems rely he...
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...