Inducing Syntactic Categories by Context Distribution Clustering. - Alexander Clark (CoNLL/LLL, 2000)

Learning Morphology with Pair Hidden Markov Models. - Alexander Clark (ACL (Companion Volume), 2001)

Unsupervised induction of stochastic context-free grammars using distributional clustering. - Alexander Clark (CoNLL, 2001)

Partially Supervised Learning of Morphology with Stochastic Transducers. - Alexander Clark (NLPRS, 2001)

Memory-Based Learning of Morphology with Stochastic Transducers. - Alexander Clark (ACL, 2002)

Shallow Parsing Using Probabilistic Grammatical Inference. - Franck Thollard; Alexander Clark (ICGI, 2002)

Unsupervised Language Acquisition: Theory and Practice - Alexander Clark (CoRR, 2002)

Combining Distributional and Morphological Information for Part of Speech Induction. - Alexander Clark (EACL, 2003)

Natural Language Queries on Natural Language Data: a Database of Meeting Dialogues. - Susan Armstrong; Alexander Clark; Giovanni Coray; Maria Georgescul; Vincenzo Pallotta; Andrei Popescu-Belis; David Portabella; Martin Rajman; Marianne Starlander (NLDB, 2003)

Partially Distribution-Free Learning of Regular Languages from Positive Samples. - Alexander Clark; Franck Thollard (COLING, 2004)

Learning Stochastic Deterministic Regular Languages. - Franck Thollard; Alexander Clark (ICGI, 2004)

Building and Using a Corpus of Shallow Dialogue Annotated Meetings. - Andrei Popescu-Belis; Maria Georgescul; Alexander Clark; Susan Armstrong (LREC, 2004)

Shallow Dialogue Processing Using Machine Learning Algorithms (or Not). - Andrei Popescu-Belis; Alexander Clark; Maria Georgescul; Denis Lalanne; Sandrine Zufferey (MLMI, 2004)

Multi-level Dialogue Act Tags. - Alexander Clark; Andrei Popescu-Belis (SIGDIAL Workshop, 2004)

PAC-learnability of Probabilistic Deterministic Finite State Automata. - Alexander Clark; Franck Thollard (J. Mach. Learn. Res., 2004)

Identification in the Limit of Substitutable Context-Free Languages. - Alexander Clark; Rémi Eyraud (ALT, 2005)

Learning Auxiliary Fronting with Grammatical Inference. - Alexander Clark; Rémi Eyraud (CoNLL, 2006)

Word Distributions for Thematic Segmentation in a Support Vector Machine Approach. - Maria Georgescul; Alexander Clark; Susan Armstrong (CoNLL, 2006)

PAC-Learning Unambiguous NTS Languages. - Alexander Clark (ICGI, 2006)

Large Scale Inference of Deterministic Transductions: Tenjinno Problem 1. - Alexander Clark (ICGI, 2006)

Planar Languages and Learnability. - Alexander Clark; Christophe Costa Florêncio; Chris Watkins; Mariette Sérayet (ICGI, 2006)

An Analysis of Quantitative Aspects in the Evaluation of Thematic Segmentation Algorithms. - Maria Georgescul; Alexander Clark; Susan Armstrong (SIGDIAL Workshop, 2006)

Polynomial Identification in the Limit of Substitutable Context-free Languages. - Alexander Clark; Rémi Eyraud (J. Mach. Learn. Res., 2007)

Learning deterministic context free grammars: The Omphalos competition. - Alexander Clark (Mach. Learn., 2007)

A Polynomial Algorithm for the Inference of Context Free Languages. - Alexander Clark; Rémi Eyraud; Amaury Habrard (ICGI, 2008)

A Comparative Study of Mixture Models for Automatic Topic Segmentation of Multiparty Dialogues. - Maria Georgescul; Alexander Clark; Susan Armstrong (IJCNLP, 2008)

Some Alternatives to Parikh Matrices Using String Kernels. - Alexander Clark; Chris Watkins (Fundam. Informaticae, 2008)

A Learnable Representation for Syntax Using Residuated Lattices. - Alexander Clark (FG, 2009)

Towards General Algorithms for Grammatical Inference. - Alexander Clark (ALT, 2010)

Efficient, Correct, Unsupervised Learning for Context-Sensitive Languages. - Alexander Clark (CoNLL, 2010)

Polynomial Time Learning of Some Multiple Context-Free Languages with a Minimally Adequate Teacher. - Ryo Yoshinaka; Alexander Clark (FG, 2010)

Distributional Learning of Some Context-Free Languages with a Minimally Adequate Teacher. - Alexander Clark (ICGI, 2010)

Learning Context Free Grammars with the Syntactic Concept Lattice. - Alexander Clark (ICGI, 2010)

Three Learnable Models for the Description of Language. - Alexander Clark (LATA, 2010)

Using Contextual Representations to Efficiently Learn Context-Free Languages. - Alexander Clark; Rémi Eyraud; Amaury Habrard (J. Mach. Learn. Res., 2010)

Inference of Inversion Transduction Grammars. - Alexander Clark (ICML, 2011)

A Language Theoretic Approach to Syntactic Structure. - Alexander Clark (MOL, 2011)

Introduction to the Special Topic on Grammar Induction, Representation of Language and Language Learning. - Dorota Glowacka; John Shawe-Taylor; Alexander Clark; Colin de la Higuera; Mark Johnson (J. Mach. Learn. Res., 2011)

Languages as hyperplanes: grammatical inference with string kernels. - Alexander Clark; Christophe Costa Florêncio; Chris Watkins (Mach. Learn., 2011)

Logical Grammars, Logical Theories. - Alexander Clark (LACL, 2012)

Beyond Semilinearity: Distributional Learning of Parallel Multiple Context-free Grammars. - Alexander Clark; Ryo Yoshinaka (ICGI, 2012)

Statistical Representation of Grammaticality Judgements: the Limits of N-Gram Models. - Alexander Clark; Gianluca Giorgolo; Shalom Lappin (CMCL, 2013)

Towards a Statistical Model of Grammaticality. - Alexander Clark; Gianluca Giorgolo; Shalom Lappin (CogSci, 2013)

Learning trees from strings: a strong learning algorithm for some context-free grammars. - Alexander Clark (J. Mach. Learn. Res., 2013)

Complexity in Language Acquisition. - Alexander Clark; Shalom Lappin (Top. Cogn. Sci., 2013)

Editors' Introduction. - Peter Auer; Alexander Clark; Thomas Zeugmann; Sandra Zilles (ALT, 2014)

Measuring Gradience in Speakers' Grammaticality Judgements. - Jey Han Lau; Alexander Clark; Shalom Lappin (CogSci, 2014)

Preface. - Alexander Clark; Makoto Kanazawa; Ryo Yoshinaka (ICGI, 2014)

An Algebraic Approach to Multiple Context-Free Grammars. - Alexander Clark; Ryo Yoshinaka (LACL, 2014)

Distributional learning of parallel multiple context-free grammars. - Alexander Clark; Ryo Yoshinaka (Mach. Learn., 2014)

Unsupervised Prediction of Acceptability Judgements. - Jey Han Lau; Alexander Clark; Shalom Lappin (ACL (1), 2015)

Canonical Context-Free Grammars and Strong Learning: Two Approaches. - Alexander Clark (MOL, 2015)

The syntactic concept lattice: Another algebraic theory of the context-free languages? - Alexander Clark (J. Log. Comput., 2015)

Testing Distributional Properties of Context-Free Grammars. - Alexander Clark (ICGI, 2016)

Distributional Learning of Some Nonlinear Tree Grammars. - Alexander Clark; Makoto Kanazawa; Gregory M. Kobele; Ryo Yoshinaka (Fundam. Informaticae, 2016)

Guest editors' foreword. - Peter Auer; Alexander Clark; Thomas Zeugmann (Theor. Comput. Sci., 2016)

Grammaticality, Acceptability, and Probability: A Probabilistic View of Linguistic Knowledge. - Jey Han Lau; Alexander Clark; Shalom Lappin (Cogn. Sci., 2017)

Assessing electronic health record phenotypes against gold-standard diagnostic criteria for diabetes mellitus. - Susan E. Spratt; Katherine Pereira; Bradi B. Granger; Bryan C. Batch; Matthew Phelan; Michael J. Pencina; Marie Lynn Miranda; L. Ebony Boulware; Joseph E. Lucas; Charlotte L. Nelson; Benjamin Neely; Benjamin Alan Goldstein; et al. (J. Am. Medical Informatics Assoc., 2017)

Consistent Unsupervised Estimators for Anchored PCFGs. - Alexander Clark; Nathanaël Fijalkow (Trans. Assoc. Comput. Linguistics, 2020)

Beyond Chomsky Normal Form: Extending Strong Learning Algorithms for PCFGs. - Alexander Clark (ICGI, 2021)

Engineering Psychology in Job Design. - Anastasia Wood; Alexander Clark; Vincent G. Duffy (HCI (48), 2023)