Exploring Chinese Verbal Lexicon Developmental Trend with Semantic Space
نویسنده
چکیده
This study assesses the influence of semantic space on the acquisition of verbal lexicon. The studied one hundred and fifty action verbs extracted from the experimental data in M3 project are classified into clusters in terms of meaning specificity. The semantic space variation of different clusters is examined in the distributional model based on Academia Sinica Balanced Corpus (ASBC) with Latent Semantic Analysis (LSA). With semantic distance measured in the distributional model, this survey captures the homogeneity of verbs within the cluster and reveals the heterogeneity between the clusters. We compare the semantic space variation to the age-related changes in verb style, and explore the potential influence of word space on verbal lexicon acquisition.
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