scholarly journals How to Remove the Look-Ahead of Top-Down Tree Transducers

2014 ◽  
pp. 103-115 ◽  
Author(s):  
Joost Engelfriet ◽  
Sebastian Maneth ◽  
Helmut Seidl
Keyword(s):  
Top Down ◽  
Look Ahead ◽  
Tree Transducers ◽  
The Look

scholarly journals Deterministic top-down tree transducers with iterated look-ahead

1995 ◽  
Vol 143 (2) ◽  
pp. 285-308 ◽  
Author(s):  
Giora Slutzki ◽  
Sándor Vágvölgyi
Keyword(s):  
Top Down ◽  
Look Ahead ◽  
Tree Transducers

Variants of top-down tree transducers with look-ahead

1988 ◽  
Vol 21 (1) ◽  
pp. 125-145 ◽  
Author(s):  
Zoltán Fülöp ◽  
Sándor Vágvölgyi
Keyword(s):  
Top Down ◽  
Look Ahead ◽  
Tree Transducers

scholarly journals Top-down tree transducers with regular look-ahead

1975 ◽  
Vol 4 (49) ◽  
Author(s):  
Joost Engelfriet
Keyword(s):  
Top Down ◽  
Closure Properties ◽  
Look Ahead ◽  
Tree Transducers ◽  
Tree Transformation

Top-down tree transducers with regular look-ahead are introduced. It is shown how these can be decomposed and composed, and how this leads to closure properties of surface sets and tree transformation languages. Particular attention is paid to deterministic tree transducers.

scholarly journals Top-down tree transducers with regular look-ahead

1976 ◽  
Vol 10 (1) ◽  
pp. 289-303 ◽  
Author(s):  
Joost Engelfriet
Keyword(s):  
Top Down ◽  
Look Ahead ◽  
Tree Transducers

scholarly journals Look-ahead removal for total deterministic top-down tree transducers

2016 ◽  
Vol 616 ◽  
pp. 18-58 ◽  
Author(s):  
Joost Engelfriet ◽  
Sebastian Maneth ◽  
Helmut Seidl
Keyword(s):  
Top Down ◽  
Look Ahead ◽  
Tree Transducers

The Power of Weighted Regularity-Preserving Multi Bottom-Up Tree Transducers

2015 ◽  
Vol 26 (07) ◽  
pp. 987-1005 ◽  
Author(s):  
Andreas Maletti
Keyword(s):  
Machine Translation ◽  
Statistical Machine Translation ◽  
Expressive Power ◽  
Proof Technique ◽  
Top Down ◽  
Bottom Up ◽  
Tree Transducer ◽  
Negative Side ◽  
Look Ahead ◽  
Tree Transducers

The expressive power of regularity-preserving [Formula: see text]-free weighted linear multi bottom-up tree transducers is investigated. These models have very attractive theoretical and algorithmic properties, but (especially in the weighted setting) their expressive power is not well understood. Despite the regularity-preserving restriction, their power still exceeds that of composition chains of [Formula: see text]-free weighted linear extended top-down tree transducers with regular look-ahead. The latter devices are a natural super-class of weighted synchronous tree substitution grammars, which are commonly used in syntax-based statistical machine translation. In particular, the linguistically motivated discontinuous transformation of topicalization can be modeled by such multi bottom-up tree transducers, whereas the mentioned composition chains cannot implement it. On the negative side, the inverse of topicalization cannot be implemented by any such multi bottom-up tree transducer, which confirms their bottom-up nature (and non-closure under inverses). An interesting, promising, and widely applicable proof technique is used to prove these statements.

A bottom-up characterization of deterministic top-down tree transducers with regular look-ahead

2004 ◽  
Vol 91 (2) ◽  
pp. 57-67 ◽  
Author(s):  
Zoltán Fülöp ◽  
Armin Kühnemann ◽  
Heiko Vogler
Keyword(s):  
Top Down ◽  
Bottom Up ◽  
Look Ahead ◽  
Tree Transducers

scholarly journals Erratum to: “Top-down Tree Transducers with Regular Look-ahead”

2015 ◽  
Vol 58 (2) ◽  
pp. 377-379
Author(s):  
Joost Engelfriet
Keyword(s):  
Top Down ◽  
Look Ahead ◽  
Tree Transducers

scholarly journals Top-down tree transducers with two-way tree walking look-ahead

1992 ◽  
Vol 93 (1) ◽  
pp. 43-74 ◽  
Author(s):  
Sándor Vágvölgyi
Keyword(s):  
Top Down ◽  
Look Ahead ◽  
Tree Transducers

Top-down tree transducers with deterministic top-down look-ahead

1989 ◽  
Vol 33 (1) ◽  
pp. 3-5 ◽  
Author(s):  
Z. Fülöp ◽  
S. Vágvölgyi
Keyword(s):  
Top Down ◽  
Look Ahead ◽  
Tree Transducers
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