Learning Mild Context-Sensitiveness: Toward Understanding Children's Language Learning. - Leonor Becerra-Bonache; Takashi Yokomori (ICGI, 2004)

Learning DFA from Correction and Equivalence Queries. - Leonor Becerra-Bonache; Adrian-Horia Dediu; Cristina Tîrnauca (ICGI, 2006)

Inferring Grammars for Mildly Context Sensitive Languages in Polynomial-Time. - Tim Oates 001; Tom Armstrong; Leonor Becerra-Bonache; Mike Atamas (ICGI, 2006)

Learning Balls of Strings with Correction Queries. - Leonor Becerra-Bonache; Colin de la Higuera; Jean-Christophe Janodet; Frédéric Tantini (ECML, 2007)

Learning Meaning Before Syntax. - Dana Angluin; Leonor Becerra-Bonache (ICGI, 2008)

Learning Balls of Strings from Edit Corrections. - Leonor Becerra-Bonache; Colin de la Higuera; Jean-Christophe Janodet; Frédéric Tantini (J. Mach. Learn. Res., 2008)

Learning Finite Automata Using Label Queries. - Dana Angluin; Leonor Becerra-Bonache; Adrian-Horia Dediu; Lev Reyzin (ALT, 2009)

Learning from a Smarter Teacher. - Leonor Becerra-Bonache; Adrian-Horia Dediu (IDEAL, 2009)

The Linguistic Relevance of Lindenmayer Systems. - Leonor Becerra-Bonache; Suna Bensch; María Dolores Jiménez-López (ICAART (2), 2010)

L Systems as Bio-MAS for Natural Language Processing. - Leonor Becerra-Bonache; Suna Bensch; María Dolores Jiménez-López (PAAMS (Special Sessions and Workshops), 2010)

Iterative learning of simple external contextual languages. - Leonor Becerra-Bonache; John Case; Sanjay Jain 001; Frank Stephan 001 (Theor. Comput. Sci., 2010)

A Language-Acquisition-Based Approach to Grammatical Inference. - Leonor Becerra-Bonache; María Dolores Jiménez-López (Biology, Computation and Linguistics, 2011)

Effects of Meaning-Preserving Corrections on Language Learning. - Dana Angluin; Leonor Becerra-Bonache (CoNLL, 2011)

An Overview of How Semantics and Corrections Can Help Language Learning. - Dana Angluin; Leonor Becerra-Bonache (Web Intelligence/IAT Workshops, 2011)

Towards a Bio-computational Model of Natural Language Learning. - Leonor Becerra-Bonache (IWANN (1), 2011)

Bio-inspired Grammatical Inference. - Leonor Becerra-Bonache (IWINAC (1), 2011)

The Role of Universal Constraints in Language Acquisition. - Leonor Becerra-Bonache; Verónica Dahl; J. Emilio Miralles (CSLP, 2012)

Speeding Up Syntactic Learning Using Contextual Information. - Leonor Becerra-Bonache; Élisa Fromont; Amaury Habrard; Michaël Perrot; Marc Sebban (ICGI, 2012)

Learning, Agents and Formal Languages - State of the Art. - Leonor Becerra-Bonache; María Dolores Jiménez-López (ICAART (1), 2013)

On Second Language Tutoring through Womb Grammars. - Leonor Becerra-Bonache; Verónica Dahl; J. Emilio Miralles (IWANN (1), 2013)

How can Grammatical Inference Contribute to Computational Linguistics? - Leonor Becerra-Bonache (CiE, 2014)

Womb Grammars as a Bio-inspired Model for Grammar Induction. - Leonor Becerra-Bonache; Verónica Dahl; María Dolores Jiménez-López (PAAMS (Special Sessions), 2014)

An Overview of the Interrelation Among Agent Systems, Learning Models and Formal Languages. - Leonor Becerra-Bonache; María Dolores Jiménez-López (Trans. Comput. Collect. Intell., 2014)

A First-Order-Logic Based Model for Grounded Language Learning. - Leonor Becerra-Bonache; Hendrik Blockeel; María Galván; François Jacquenet (IDA, 2015)

A Grammatical Inference Model for Measuring Language Complexity. - Leonor Becerra-Bonache; María Dolores Jiménez-López (IWANN (1), 2015)

A Proposal for Contextual Grammatical Inference. - Leonor Becerra-Bonache; María Galván; François Jacquenet (IWANN (1), 2015)

Learning, Agents, and Formal Languages: Linguistic Applications of Interdisciplinary Fields. - Leonor Becerra-Bonache; María Dolores Jiménez-López (PAAMS (Special Sessions), 2015)

Could Machine Learning Shed Light on Natural Language Complexity? - María Dolores Jiménez-López; Leonor Becerra-Bonache (CL4LC@COLING 2016, 2016)

Relational Grounded Language Learning. - Leonor Becerra-Bonache; Hendrik Blockeel; María Galván; François Jacquenet (ECAI, 2016)

Learning Language Models from Images with ReGLL. - Leonor Becerra-Bonache; Hendrik Blockeel; María Galván; François Jacquenet (ECML/PKDD (3), 2016)

A model of language learning with semantics and meaning-preserving corrections. - Dana Angluin; Leonor Becerra-Bonache (Artif. Intell., 2017)

Natural Language Complexity and Machine Learning. - Leonor Becerra-Bonache; María Dolores Jiménez-López (DCAI (Special Sessions), 2018)

Correction automatique d'attachements prépositionnels par utilisation de traits visuels (PP-attachement resolution using visual features). - Sebastien Delecraz; Leonor Becerra-Bonache; Benoît Favre; Alexis Nasr; Frédéric Béchet (CORIA-TALN-RJC (TALN), 2018)

Visual Disambiguation of Prepositional Phrase Attachments: Multimodal Machine Learning for Syntactic Analysis Correction. - Sebastien Delecraz; Leonor Becerra-Bonache; Alexis Nasr; Frédéric Béchet; Benoît Favre (IWANN (1), 2019)

Multimodal Machine Learning for Natural Language Processing: Disambiguating Prepositional Phrase Attachments with Images. - Sebastien Delecraz; Leonor Becerra-Bonache; Benoît Favre; Alexis Nasr; Frédéric Béchet (Neural Process. Lett., 2021)

Shared knowledge in natural conversations: can entropy metrics shed light on information transfers? - Eliot Maës; Philippe Blache; Leonor Becerra (CoNLL, 2022)

Automatic Detection of Gaze and Smile in Children's Video Calls. - Dhia-Elhak Goumri; Thomas Janssoone; Leonor Becerra-Bonache; Abdellah Fourtassi (ICMI Companion, 2023)

Studying Common Ground Instantiation Using Audio, Video and Brain Behaviours: The BrainKT Corpus. - Eliot Maës; Thierry Legou; Leonor Becerra; Philippe Blache (RANLP, 2023)

CHICA: A Developmental Corpus of Child-Caregiver's Face-to-face vs. Video Call Conversations in Middle Childhood. - Dhia-Elhak Goumri; Abhishek Agrawal; Mitja Nikolaus; Hong Duc Thang Vu; Kübra Bodur; Elias Emmar; Cassandre Armand; Chiara Mazzocconi; Shreejata Gupta; Laurent Prévot 001; Benoît Favre; Leonor Becerra-Bonache; et al. (LREC/COLING, 2024)

Did You Get It? A Zero-Shot Approach to Locate Information Transfers in Conversations. - Eliot Maës; Hossam Boudraa; Philippe Blache; Leonor Becerra-Bonache (LREC/COLING, 2024)

ChiCA: un corpus de conversations face-à-face vs. Zoom entre enfants et parents. - Dhia-Elhak Goumri; Abhishek Agrawal; Mitja Nikolaus; Hong Duc Thang Vu; Kübra Bodur; Elias Semmar; Cassandre Armand; Chiara Mazzocconi; Shreejata Gupta; Laurent Prévot 001; Benoît Favre; Leonor Becerra-Bonache; et al. (TALN (2), 2024)

Une approche zero-shot pour localiser les transferts d'informations en conversation naturelle. - Eliot Maës; Hossam Boudraa; Philippe Blache; Leonor Becerra-Bonache (TALN (2), 2024)

Le corpus BrainKT: Etudier l'instanciation du common ground par l'analyse des indices verbaux, gestuels et neurophysiologiques. - Eliot Maës; Thierry Legou; Leonor Becerra-Bonache; Philippe Blache (TALN (2), 2024)