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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...
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...
Hierarchical Phrase-Based Translation with Weighted Finite-State Transducers and Shallow-n Grammars
Hierarchical Phrase-Based Translation Weighted Finite-State Transducers Shallow-n Grammars
2015/9/8
In this article we describe HiFST, a lattice-based decoder for hierarchical phrase-based translation and alignment. The decoder is implemented with standard Weighted Finite-State Transducer (WFST) ope...
Work on prepositional phrase (PP) attachment resolution generally assumes that there is an oracle that provides the two hypothesized structures that we want to choose between. The information that the...
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 para...
The Notion of Argument in Prepositional Phrase Attachment
Notion of Argument Prepositional Phrase Attachment
2015/9/1
In this article we refine the formulation of the problem of prepositional phrase (PP) attachment as a four-way disambiguation problem. We argue that, in interpreting PPs, both knowledge about the site...
Induction of Word and Phrase Alignments for Automatic Document Summarization
Word and Phrase Alignments Automatic Document Summarization
2015/8/31
Current research in automatic single-document summarization is dominated by two effective,yet naıve approaches: summarization by sentence extraction and headline generation via bagof-words models...
A Simple and Effective Hierarchical Phrase Reordering Model
Hierarchical Phrase Reordering Model
2015/6/12
While phrase-based statistical machine translation systems currently deliver state-of-theart performance, they remain weak on word order changes. Current phrase reordering models can properly handle s...
A Phrase-Based Alignment Model for Natural Language Inference
Phrase-Based Alignment Model Natural Language
2015/6/12
The alignment problem—establishing links between corresponding phrases in two related sentences—is as important in natural language inference (NLI) as it is in machine translation (MT). But the tools ...
A Neural Reordering Model for Phrase-based Translation
A Neural Reordering Model Phrase-based Translation
2015/1/24
A Neural Reordering Model for Phrase-based Translation.
A Shift-Reduce Parsing Algorithm for Phrase-based String-to-Dependency Translation
A Shift-Reduce Parsing Algorithm Phrase-based String-to-Dependency Translation
2015/1/24
A Shift-Reduce Parsing Algorithm for Phrase-based String-to-Dependency Translation.
An Orientation Model for Hierarchical Phrase-based Translation
Orientation Model Hierarchical Phrase-based Translation
2013/4/22
The hierarchical phrase-based (HPB) transla-tion exploits the power of grammar to perform long distance reorderings, without specifying nonterminal orientations against adjacent blocks or considering ...