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Practical Experiments with Regular Approximation of Context-Free Languages
Mark-Jan Nederhof
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Paper Details:
Year: 2000
Venue:
CL |
Citations
URL
Creating a Finite-State Parser with Application Semantics
Owen Rambow
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Srinivas Bangalore
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Tahir Butt
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Alexis Nasr
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Richard Sproat
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Kullback-Leibler Distance between Probabilistic Context-Free Grammars and Probabilistic Finite Automata
Mark-Jan Nederhof
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Giorgio Satta
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Dependency Parsing with an Extended Finite-State Approach
Kemal Oflazer
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A General Technique to Train Language Models on Language Models
Mark-Jan Nederhof
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A Finite-State Approach to Machine Translation
Srinivas Bangalore
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Giuseppe Riccardi
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Unsupervised Learning on an Approximate Corpus
Jason Smith
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Jason Eisner
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Approximate PCFG Parsing Using Tensor Decomposition
Shay B. Cohen
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Giorgio Satta
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Michael Collins
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Guided Parsing of Range Concatenation Languages
François Barthélemy
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Pierre Boullier
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Philippe Deschamp
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Éric Villemonte de la Clergerie
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Parameter Estimation for Probabilistic Finite-State Transducers
Jason Eisner
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Compounding and Derivational Morphology in a Finite-State Setting
Jonas Kuhn
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Semantic Neighborhoods as Hypergraphs
Chris Quirk
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Pallavi Choudhury
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Approximating Context-Free by Rational Transduction for Example-Based MT
Mark-Jan Nederhof
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Parsing with Soft and Hard Constraints on Dependency Length
Jason Eisner
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Noah A. Smith
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Efficacy of Beam Thresholding, Unification Filtering and Hybrid Parsing in Probabilistic HPSG Parsing
Takashi Ninomiya
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Yoshimasa Tsuruoka
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Yusuke Miyao
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Jun’ichi Tsujii
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Extracting Forbidden Factors from Regular Stringsets
James Rogers
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Dakotah Lambert
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Bounded-Depth High-Coverage Search Space for Noncrossing Parses
Anssi Yli-Jyrä
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No URLs Found
Field Of Study
Language
English
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