Abstract Information about the affective meanings of words is used by researchers working
on emotions and moods, word recognition and memory, and text-based sentiment analysis …

In a previous article, we presented a systematic computational study of the extraction of
semantic representations from the word–word co-occurrence statistics of large text corpora …

The last two decades have seen a significant amount of interest in bilingual language
learning and processing. A number of computational models have also been developed to …

Connectionist models have had a profound impact on theories of language. While most
early models were inspired by the classic parallel distributed processing architecture, recent …

Distributional semantics develops theories and methods to represent the meaning of natural
language expressions, with vectors encoding their statistical distribution in linguistic …

This research introduces the concept of social distance, which is drawn from clustering
methods applied to the social network user base; and incorporates distance in the …

Cross-language priming is a widely used experimental paradigm in psycholinguistics to
study how bilinguals' two languages are represented and organized. Researchers have …

It has been consistently shown that words representing living things are better remembered
than words representing nonliving things, yet the underlying cognitive and neural …

The application of word associations has become increasingly widespread. However, the
association norms produced by traditional free association tests tend not to exceed 10,000 …

In two experiments, we attempted to replicate and extend findings by Günther et al. that word
similarity measures obtained from distributional semantics models—Latent Semantic …