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Kateryna Gerasymova

Assistant Researcher - PhD Student

language

2012

An Experiment in Temporal Language Learning

Topics:
Language
Authors
Kateryna Gerasymova , Michael Spranger |

Language Grounding in Robots, edited by:Steels, Luc and Hild, Manfred, Springer, New York, 2012. pp.237--254.

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Abstract

Russian requires speakers of the language to conceptualize events using temporal language devices such as Aktionsarten and aspect, which relate to particular profiles and characteristics of events such as whether the event just started, whether it is ongoing or it is a repeated event. This chapter explores how such temporal features of events can be processed and learned by robots through grounded situated interactions. We use a whole systems approach, tightly integrating perception, conceptualization grammatical processing and learning and demonstrate how a system of Aktionsarten can be acquired.

2012

A Language Strategy for Aspect: Encoding Aktionsarten through Morphology

Topics:
Language
Authors
Kateryna Gerasymova , Michael Spranger , Katrien Beuls |

Experiments in Cultural Language Evolution, edited by:Steels, Luc, 3, John Benjamins, Amsterdam, 2012. pp.257--276.

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Abstract

This chapter explores a possible language strategy for verbalizing aspect: the encoding of Aktionsarten by means of morphological markers. Russian tense-aspect system is used as a model. We first operationalize this system and reconstruct the learning operators needed for acquiring it. Then we perform a first language formation experiment in which a novel system of Aktionsarten emerges and gets coordinated between the agents, driven by a need for higher expressivity.

2010

Emergence of Aktionsarten: The first step towards aspect

Topics:
Language
Authors
Kateryna Gerasymova |

Proceedings of the 8th International Conference on the Evolution of Language (Evolang8), edited by:Smith, A.D.M. and Schouwstra, M. and de Boer, B. and Smith, K., World Scientific, Singapore, 2010. pp.145-152.

2010

Acquisition of Grammar in Autonomous Artificial Systems

Topics:
Language
Authors
Kateryna Gerasymova , Michael Spranger |

Proceedings of the 19th European Conference on Artificial Intelligence (ECAI-2010), edited by:Coelho, M. and Studer, R. and Woolridge, M., IOS Press, 2010. pp.923--928.

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Abstract

Over the past several decades, psycholinguists have gained countless insights into the process of child language acquisition. Can these findings be used for the development of language competence in autonomous artificial systems? This paper reports on our attempt to apply insights from developmental psychology in order to enable artificial systems to acquire language. We consider a comprehensive chain of computational processes, starting from conceptualization and extending through language generation and interpretation, and show how they can be intertwined to allow for acquisition of complex aspects of grammar.

2010

Situated Learning through the Use of Language Games

Topics:
Language
Authors
Katrien Beuls , Kateryna Gerasymova , Remi van Trijp |

Proceedings of the 19th Annual Machine Learning Conference of Belgium and The Netherlands (BeNeLearn), 2010.

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Abstract

Grammatical agreement is one of the most puzzling aspects found in natural language. Its acquisition requires intensive linguistic exposure and capacities to deal with outliers that break regular patterns. Other than relying on statistical methods to deal with agreement in a computational application, this paper demonstrates how agreement can be learned by artificial agents in a simulated environment in such a way that the openendedness of natural language can be captured by their language processing mechanisms.

2009

Aspectual Morphology of Russian Verbs in Fluid Construction Grammar

Topics:
Language
Authors
Kateryna Gerasymova , Luc Steels , Remi van Trijp |

Proceedings of the 31th Annual Conference of the Cognitive Science Society, edited by:Taatgen, N.A. and van Rijn, H., Cognitive Science Society, 2009. pp.1370-1375.

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Abstract

Aspect is undoubtedly the most capricious grammatical category of the Russian language. It has often been asserted as a mystery accessible only to native speakers, leaving all the others lost in its apparently infinite clutter. Recent work in cognitive linguistics has tried to bring order to the seeming chaos of the Russian aspectual system. But these approaches have not been operationalized so far. This paper demonstrates how the aspectual derivation of Russian verbs can be handled successfully with Fluid Constructional Grammar, a computational formalism recently developed for the representation and processing of constructions.

2009

Acquisition of Aspectual Grammar in Artificial Systems through Language Games

Topics:
Language
Authors
Kateryna Gerasymova |

2009.