D12-1059 categories induced by online LDA in the word learning model . The fourth condition
D12-1059 in a crosssituational model of word learning have been rare . Here we adopt
D12-1059 mechanisms have been proposed for word learning . One well-studied mechanism
D12-1059 explore the role of syntax in word learning . Maurits et al. ( 2009 ) investigates
D12-1059 contribution of lexical categories to word learning in a more realistic scenario
D12-1059 assumption unreasonably simplifies the word learning problem . To investigate the
D12-1059 mappings , we compare the pattern of word learning over time in four con - ditions
D12-1059 category-based alignment in the word learning model by setting A ( w ) = 1
D12-1059 cate - gories . We then evaluated word learning on Anne . We chose the parameters
D12-1059 at hand , that is , improving word learning by using the sentential context
D12-1059 performance of a cross-situational word learning model . For this purpose , we
D12-1059 his model of crosssituational word learning , showing that they can improve
D12-1059 assumption that prior to the onset of word learning , the categorization module has
D12-1059 verbs and nouns ) can indeed help word learning in a more naturalistic incremental
D12-1059 learning module with a probabilistic word learning model . Our results show that
D12-1059 from the utterance ( only for the word learning module ) . In order to simulate
D12-1059 and Anne and then started the word learning module for the Anne portion while
D12-1059 existing probabilistic model of word learning which combines cross-situational
D12-1059 using these categories can improve word learning compared to not using them and
D12-1059 we investigate the interplay of word learning and category induction by integrating
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