International Morphological Processing Conference (MoProc)

Session

Contributed papers 5

Jun 23, 2017, 1:50 PM

Lecture Hall Paolo Budinich (SISSA Main Campus)

47. Taking morphology a level higher: A lemma-extended interactive activation model

João Veríssimo (University of Potsdam)

6/23/17, 1:50 PM

Freely Contributed Paper

Talk

Much psycholinguistic research has provided evidence for the surface-form segmentation of complex words, but comparatively less attention has been paid to the organisation of morphology at ‘higher levels’ (but see Marelli & Baroni, 2015). Although several models of morphological processing make use of a lemma level interacting with morpho-orthographic representations, such proposals are not...

40. Evaluating the impact of relations in compound processing: a simulation study in distributional semantics

Marco Marelli (University of Milano-Bicocca)

6/23/17, 2:10 PM

Freely Contributed Paper

Talk

In most languages, words can be combined to create novel compounds that are readily understandable by speakers. Crucially, the compound meaning is not only determined by the two words, but also by the (unexpressed) relation that links them together: we have a clear intuition that *snow building* means *a building MADE OF snow*, even if we have never heard it before. In the present work, we...

22. The role of competition between conceptual relations during compound word recognition: Evidence from spoken and visual word recognition

Daniel Schmidtke (University of Alberta)

6/23/17, 2:30 PM

Freely Contributed Paper

Talk

Research suggests that compound word recognition is guided by the activation of a relational structure that links the compound’s constituents (e.g., *steamboat* is a ‘boat that *uses* steam’; Gagné & Shoben, 1997). Schmidtke et al. (2016) demonstrated that part of this process is competitive in nature. They found that greater relative difficulty in converging on a compound’s relational...

68. The role of context in compound detection during reading of unspaced text

Raymond Bertram (University of Turku)

6/23/17, 2:50 PM

Freely Contributed Paper

Poster

In Chinese, efficient segmentation strategies are crucial for fluent reading, as word boundaries are not signaled by obvious segmentation cues like spaces. In alphabetic languages like English, word boundaries are clearly indicated by interword spaces and presenting these languages in the same way as Chinese, that is without interword spacing, slows down reading to a great extent (Rayner et...