International Morphological Processing Conference (MoProc)

Session

Symposium 1 -- Quantitative Morphology

Jun 23, 2017, 9:00 AM

Lecture Hall Paolo Budinich (SISSA Main Campus)

Presentation materials

paper

http://morphology.xyz/workshops/moproc2017.html

74. A reflection on psycholinguistics through its questions about morphology and the mental lexicon

Emmanuel Keuleers (Tilburg School of Humanities Department of Communication and Information Sciences)

6/23/17, 9:05 AM

Symposium 1 -- Quantitative Morphology

Talk

Psycholinguistics has tended to formulate its fundamental questions according to the pattern “What is the psychological implementation of a linguistic notion?”, such as "What is the content of the mental lexicon?" or "How is morphology organized in the brain?". I will argue that questions like these presuppose the lexical and morphological modularity of traditional linguistics. By definition,...

76. Finding structure in form and time: Discriminative explorations in quantitative morphology

Micheal Ramscar (University of Tubingen)

6/23/17, 9:25 AM

Symposium 1 -- Quantitative Morphology

Talk

Traditional studies of language assume an atomistic model in which linguistic signals comprise discrete, minimal form elements associated with discrete, minimal elements of meaning. Since linguistic production has been seen to involve the composition of messages from an inventory of form elements, and linguistic comprehension the subsequent decomposition of these messages, researchers in...

84. Storage vs. Processing in Models of Word Inflection. A Neuro-computational Hebbian Perspective

Vito Pirrelli (CNR, Pisa)

6/23/17, 9:45 AM

Symposium 1 -- Quantitative Morphology

The advent of connectionism in the 80’s popularised the idea that the lexical processor consists of a network of parallel processing units selectively firing in response to sensory stimuli. In the light of these assumptions, the most important contribution of connectionism to the theoretical debate on lexical modelling at the time was the utter rejection of the widely accepted idea that...

75. Are baboons learning “orthographic” representations? Probably not.

Franziska Broeker (Institut für Geodäsie und Photogrammetrie), Harald Baayen (Eberhard Karls Universität Tübingen/University of Alberta), Maja Linke (Leibniz-Institut für Wissensmedien (IWM)), Michael Ramscar (Eberhard Karls Universität Tübingen)

6/23/17, 10:05 AM

Symposium 1 -- Quantitative Morphology

Talk

The ability of Baboons (Papio papio) to distinguish between English words and nonwords [1] has been modeled using a deep learning convolutional network model that simulates a ventral pathway in which lexical representations of different granularity develop [2]. However, given that pigeons (Columba livia), whose brain morphology is drastically different, can also be trained to distinguish...