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» Quadratic-Time Dependency Parsing for Machine Translation
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EMNLP
2011
12 years 4 months ago
Training dependency parsers by jointly optimizing multiple objectives
We present an online learning algorithm for training parsers which allows for the inclusion of multiple objective functions. The primary example is the extension of a standard sup...
Keith Hall, Ryan T. McDonald, Jason Katz-Brown, Mi...
MT
2006
116views more  MT 2006»
13 years 4 months ago
Dependency treelet translation: the convergence of statistical and example-based machine-translation?
We describe a novel approach to machine translation that combines the strengths of the two leading corpus-based approaches: Phrasal SMT and EBMT. We use a syntactically informed d...
Christopher Quirk, Arul Menezes
ACL
2010
13 years 2 months ago
Importance of Linguistic Constraints in Statistical Dependency Parsing
Statistical systems with high accuracy are very useful in real-world applications. If these systems can capture basic linguistic information, then the usefulness of these statisti...
Bharat Ram Ambati
EMNLP
2006
13 years 6 months ago
Incremental Integer Linear Programming for Non-projective Dependency Parsing
Integer Linear Programming has recently been used for decoding in a number of probabilistic models in order to enforce global constraints. However, in certain applications, such a...
Sebastian Riedel, James Clarke
ACL
2006
13 years 6 months ago
Minimum Risk Annealing for Training Log-Linear Models
When training the parameters for a natural language system, one would prefer to minimize 1-best loss (error) on an evaluation set. Since the error surface for many natural languag...
David A. Smith, Jason Eisner