Supervised word sense disambiguation requires training corpora that have been tagged with word senses, which begs the question of which word senses to tag with. The default choice has been WordNet, with its broad coverage and easy accessibility. However, concerns have been raised about the appropriateness of its fine-grained word senses for WSD. WSD systems have been far more successful in dist...

The content, and indeed the title, of this book brings back to us an old and well· known theory the Sapir-Whorf hypothesis: that language influences thought and determines the world view of the speaker (Whorf, 1956). Rumjahn Hoosain proposes that "unique lingUistic properties of the Chinese language, particularly its orthography, have implications for cognitive processing". Although it does not...

Fake news is a threat to society. A huge amount of fake posted every day on social networks which read, believed and sometimes shared by number users. On the other hand, with aim raise awareness, some users share posts that debunk using information from fact-checking websites. In this paper, we are interested in exploring role various psycholinguistic characteristics differentiating between ten...

This thesis takes up the problem of syntactic comprehension, or parsing—how an agent (human or machine) with knowledge of a specific language goes about inferring the hierarchical structural relationships underlying a surface string in the language. I take the position that probabilistic models of combining evidential information are cognitively plausible and practically useful for syntactic co...

Researchers in linguistics and related fields have recently begun exploiting online crowd-sourcing tools, like Amazon Mechanical Turk (AMT), to gather behavioral data. While this method has been successfully validated for various offline measures--grammaticality judgment or other forced-choice tasks--its use for mainstream psycholinguistic research remains limited. This is because psycholinguis...