Psychological constraints upon connectionist models of word recognition: Exploring TRACE and alternatives

Other recent work applied to handwriting recognition [7] has also proposed to avoid any segmentation, using a connec- tionist model that relies on a recurrent neural network

This inspires a new model of spoken word recognition that combines time-specific phoneme representations similar to those in TRACE with higher-level representations based on

We studied representations built in Cascade-Correlation (Cascor) connectionist models, using a modified encoder task in which networks learn to reproduce four- letter strings

Table1 shows the experimental results of the performance of our recognition system using 4 different single streams (upper contour, lower contour and density with two windows varying

A masked priming experi- ment was carried using two types of suf- fixed French primes: the effects of words having a surface frequency (SF) higher than their base (e.g.,

 With the main document open add fields from the data source using the Insert Merge Fields button.. Merging a Main Document and a

Our work investigated structured collections of local spatio-temporal features in order to build action models that are both accurate and robust to real- world video conditions..

The shape of word the frequency effects in the visual (black line) and auditory modality (dashed line) in MEGALEX, as well as in the French Lexicon Project (dotted line) for