Alexander Clark

发表

Canonical Context-Free Grammars and Strong Learning: Two Approaches

Alexander Clark, 2015, MOL.

A Polynomial Algorithm for the Inference of Context Free Languages

Amaury Habrard, Alexander Clark, Rémi Eyraud, 2008, ICGI.

Languages as Hyperplanes: Grammatical Inference with String Kernels

Alexander Clark, Christophe Costa Florêncio, Chris Watkins, 2006, ECML.

Polynomial Time Learning of Some Multiple Context-Free Languages with a Minimally Adequate Teacher

Ryo Yoshinaka, Alexander Clark, Ryo Yoshinaka, 2010, FG.

Learning Stochastic Deterministic Regular Languages

Alexander Clark, Franck Thollard, 2004, ICGI.

A Learnable Representation for Syntax Using Residuated Lattices

Alexander Clark, Alexander Clark, 2009, FG.

Learning deterministic context free grammars: The Omphalos competition

Alexander Clark, Alexander Clark, 2006, Machine Learning.

CoNLL 2008: Proceedings of the Twelfth Conference on Computational Natural Language Learning

Kristina Toutanova, Alexander Clark, Kristina Toutanova, 2008, Conference on Computational Natural Language Learning.

Introduction and Methodology Theoretical Linguistics and Formal Learning Theory

Alexander Clark, 2013 .

Some Alternatives to Parikh Matrices Using String Kernels

Alexander Clark, Chris Watkins, C. Watkins, 2008, Fundam. Informaticae.

Testing Distributional Properties of Context-Free Grammars

Alexander Clark, Alexander Clark, 2016, ICGI.

Languages as hyperplanes: grammatical inference with string kernels

Alexander Clark, Christophe Costa Florêncio, Chris Watkins, 2010, Machine Learning.

Grammaticality, Acceptability, and Probability: A Probabilistic View of Linguistic Knowledge

Alexander Clark, Jey Han Lau, Shalom Lappin, 2017, Cogn. Sci..

Empiricism and Language Learnability

Nick Chater, Amy Perfors, Alexander Clark, 2015 .

Logical Grammars, Logical Theories

Alexander Clark, Alexander Clark, 2012, LACL.

Planar Languages and Learnability

Alexander Clark, Christophe Costa Florêncio, Chris Watkins, 2006, ICGI.

Another Look at Indirect Negative Evidence

Alexander Clark, Shalom Lappin, Alexander Clark, 2009 .

Using Contextual Representations to Efficiently Learn Context-Free Languages

Amaury Habrard, Alexander Clark, Rémi Eyraud, 2010, J. Mach. Learn. Res..

Efficient, Correct, Unsupervised Learning for Context-Sensitive Languages

Alexander Clark, Alexander Clark, 2010, CoNLL.

Partially Distribution-Free Learning of Regular Languages from Positive Samples

Alexander Clark, Franck Thollard, 2004, COLING.

Identification in the Limit of Substitutable Context-Free Languages

Alexander Clark, Rémi Eyraud, Alexander Clark, 2005, ALT.

Word Distributions for Thematic Segmentation in a Support Vector Machine Approach

Alexander Clark, Susan Armstrong, Maria Georgescul, 2006, CoNLL.

Polynomial Identification in the Limit of Substitutable Context-free Languages

Alexander Clark, Rémi Eyraud, Alexander Clark, 2005 .

Three Learnable Models for the Description of Language

Alexander Clark, Alexander Clark, 2010, LATA.

Learning Morphology with Pair Hidden Markov Models

Alexander Clark, Alexander Clark, 2001, ACL.

Complexity in Language Acquisition

Alexander Clark, Shalom Lappin, Alexander Clark, 2013, Top. Cogn. Sci..

Learnability in practice

Nick Chater, Amy Perfors, Alexander Clark, 2015 .

Grammatical Inference and First Language Acquisition

Alexander Clark, 2004 .

A Language Theoretic Approach to Syntactic Structure

Alexander Clark, Alexander Clark, 2011, MOL.

Statistical Representation of Grammaticality Judgements: the Limits of N-Gram Models

Alexander Clark, Shalom Lappin, Gianluca Giorgolo, 2013, CMCL.

Unsupervised Prediction of Acceptability Judgements

Alexander Clark, Jey Han Lau, Shalom Lappin, 2015, ACL.

A Note on Contextual Binary Feature Grammars

Amaury Habrard, Alexander Clark, Remi Eyraud, 2009 .

PAC-Learning Unambiguous NTS Languages

Alexander Clark, Alexander Clark, 2006, ICGI.

Towards a Statistical Model of Grammaticality

Alexander Clark, Shalom Lappin, Gianluca Giorgolo, 2013, CogSci.

Distributional Learning of Some Context-Free Languages with a Minimally Adequate Teacher

Alexander Clark, Alexander Clark, 2010, ICGI.

The syntactic concept lattice: Another algebraic theory of the context-free languages?

Alexander Clark, Alexander Clark, 2015, J. Log. Comput..

Partially Supervised Learning of Morphology with Stochastic Transducers

Alexander Clark, 2001, NLPRS.

Algorithmic Learning Theory

Peter Auer, Thomas Zeugmann, Sandra Zilles, 2014, Lecture Notes in Computer Science.

Shallow Parsing Using Probabilistic Grammatical Inference

Alexander Clark, Franck Thollard, Alexander Clark, 2002, ICGI.

Natural Language Queries on Natural Language Data: a Database of Meeting Dialogues

Andrei Popescu-Belis, Martin Rajman, Vincenzo Pallotta, 2003, NLDB.

Learning Trees from Strings Strong Learning of CFGs (and MCFGs)

Alexander Clark, Alexander Clark, 2014 .

An Algebraic Approach to Multiple Context-Free Grammars

Ryo Yoshinaka, Alexander Clark, Ryo Yoshinaka, 2014, LACL.

Measuring Gradience in Speakers' Grammaticality Judgements

Alexander Clark, Jey Han Lau, Shalom Lappin, 2014, CogSci.

Unsupervised Language Acquisition: Theory and Practice

Alexander Clark, Alexander Clark, 2002, ArXiv.

Assessing electronic health record phenotypes against gold-standard diagnostic criteria for diabetes mellitus

Eugenia R. McPeek Hinz, Rachel L. Richesson, Alexander Clark, 2017, J. Am. Medical Informatics Assoc..

Beyond Semilinearity: Distributional Learning of Parallel Multiple Context-free Grammars

Ryo Yoshinaka, Alexander Clark, Ryo Yoshinaka, 2012, ICGI.

Learning trees from strings: a strong learning algorithm for some context-free grammars

Alexander Clark, Alexander Clark, 2013, J. Mach. Learn. Res..

Unsupervised induction of stochastic context-free grammars using distributional clustering

Alexander Clark, 2001, CoNLL.

Distributional Learning of Some Nonlinear Tree Grammars

Ryo Yoshinaka, Gregory M. Kobele, Alexander Clark, 2016, Fundam. Informaticae.

Multi-level Dialogue Act Tags

Andrei Popescu-Belis, Alexander Clark, Andrei Popescu-Belis, 2004, SIGDIAL Workshop.

Towards General Algorithms for Grammatical Inference

Alexander Clark, 2010, ALT.

Proceedings of the 9th international colloquium on Grammatical Inference: Algorithms and Applications

Laurent Miclet, Alexander Clark, François Coste, 2008 .

Computational approaches to induction

Nick Chater, Amy Perfors, Alexander Clark, 2015 .

An Analysis of Quantitative Aspects in the Evaluation of Thematic Segmentation Algorithms

Alexander Clark, Susan Armstrong, Maria Georgescul, 2009, SIGDIAL Workshop.

Combining Distributional and Morphological Information for Part of Speech Induction

Alexander Clark, Alexander Clark, 2003, EACL.

Learning Auxiliary Fronting with Grammatical Inference

Alexander Clark, Rémi Eyraud, Alexander Clark, 2006, CoNLL.

Editors' Introduction

Peter Auer, Thomas Zeugmann, Sandra Zilles, 2014, ALT.

Distributional learning of syntax

Nick Chater, Amy Perfors, Alexander Clark, 2015 .

A Comparative Study of Mixture Models for Automatic Topic Segmentation of Multiparty Dialogues

Alexander Clark, Susan Armstrong, Maria Georgescul, 2008, IJCNLP.

Learning Context Free Grammars with the Syntactic Concept Lattice

Alexander Clark, Alexander Clark, 2010, ICGI.

Towards General Algorithms for Grammatical Inference

Alexander Clark, 2010, Discovery Science.

Large Scale Inference of Deterministic Transductions: Tenjinno Problem 1

Alexander Clark, 2006, ICGI.

Distributional learning of parallel multiple context-free grammars

Ryo Yoshinaka, Alexander Clark, Ryo Yoshinaka, 2013, Machine Learning.

Shallow Dialogue Processing Using Machine Learning Algorithms (or Not)

Andrei Popescu-Belis, Denis Lalanne, Sandrine Zufferey, 2004, MLMI.

Inducing Syntactic Categories by Context Distribution Clustering

Alexander Clark, Alexander Clark, 2000, CoNLL/LLL.

Blackwell Handbooks in Linguistics Ser. : The Handbook of Computational Linguistics and Natural Language Processing (1)

Alexander Clark, 2013 .

Guest editors' foreword

Peter Auer, Thomas Zeugmann, Alexander Clark, 2016, Theor. Comput. Sci..

PAC-learnability of Probabilistic Deterministic Finite State Automata

Alexander Clark, Franck Thollard, Alexander Clark, 2004, J. Mach. Learn. Res..

Introduction to the Special Topic on Grammar Induction, Representation of Language and Language Learning

John Shawe-Taylor, Dorota Glowacka, Colin de la Higuera, 2011, J. Mach. Learn. Res..

Inference of Inversion Transduction Grammars

Alexander Clark, Alexander Clark, 2011, ICML.

Building and Using a Corpus of Shallow Dialogue Annotated Meetings

Andrei Popescu-Belis, Alexander Clark, Maria Georgescul, 2004, LREC.

Memory-Based Learning of Morphology with Stochastic Transducers

Alexander Clark, 2002, ACL.

Strong Learning of Probabilistic Tree Adjoining Grammars

Alexander Clark, 2021, SCIL.

Consistent unsupervised estimators for anchored PCFGs

Alexander Clark, Nathanaël Fijalkow, 2021 .

Grammatical Inference and the Argument from the Poverty of the Stimulus

Alexander Clark, 2004 .