We augment a model of translation based on re-ordering nodes in syntactic trees in order to allow alignments not conforming to the original tree structure, while keeping computational complexity polynomial in the sentence length. This is done by adding a new subtree cloning operation to either tree-to-string or tree-to-tree alignment algorithms
We present a novel translation model based on tree-to-string alignment template (TAT) which describe...
Abstract. Alignment of the sentences of an original text and a translation is considerably better un...
With the steadily increasing demand for high-quality translation, the localisation industry is const...
This article presents a probabilistic sub-tree alignment model and its application to tree-to-tree m...
Structural divergence presents a challenge to the use of syntax in statistical machine translation. ...
Structural divergence presents a challenge to the use of syntax in statistical machine translation. ...
This paper presents a translation model that is based on tree sequence alignment, where a tree seque...
Data-driven approaches to machine translation (MT) achieve state-of-the-art results. Many syntax-awa...
Data-Oriented Translation (DOT), based on Data-Oriented Parsing (DOP), is a language-independent MT ...
Tree-based approaches to alignment model translation as a sequence of probabilistic operations tra...
The tree sequence based translation model al-lows the violation of syntactic boundaries in a rule to...
Data-Oriented Translation (DOT), based on Data-Oriented Parsing (DOP), is a language-independent MT ...
Tree-based approaches to alignment model translation as a sequence of probabilistic op-erations tran...
In allusion to the syntactic differences between Chinese and Naxi language, the thesis presents a tr...
We present a method for improving word alignment for statistical syntax-based ma-chine translation t...
We present a novel translation model based on tree-to-string alignment template (TAT) which describe...
Abstract. Alignment of the sentences of an original text and a translation is considerably better un...
With the steadily increasing demand for high-quality translation, the localisation industry is const...
This article presents a probabilistic sub-tree alignment model and its application to tree-to-tree m...
Structural divergence presents a challenge to the use of syntax in statistical machine translation. ...
Structural divergence presents a challenge to the use of syntax in statistical machine translation. ...
This paper presents a translation model that is based on tree sequence alignment, where a tree seque...
Data-driven approaches to machine translation (MT) achieve state-of-the-art results. Many syntax-awa...
Data-Oriented Translation (DOT), based on Data-Oriented Parsing (DOP), is a language-independent MT ...
Tree-based approaches to alignment model translation as a sequence of probabilistic operations tra...
The tree sequence based translation model al-lows the violation of syntactic boundaries in a rule to...
Data-Oriented Translation (DOT), based on Data-Oriented Parsing (DOP), is a language-independent MT ...
Tree-based approaches to alignment model translation as a sequence of probabilistic op-erations tran...
In allusion to the syntactic differences between Chinese and Naxi language, the thesis presents a tr...
We present a method for improving word alignment for statistical syntax-based ma-chine translation t...
We present a novel translation model based on tree-to-string alignment template (TAT) which describe...
Abstract. Alignment of the sentences of an original text and a translation is considerably better un...
With the steadily increasing demand for high-quality translation, the localisation industry is const...