The effect of lexical frequency on language-processing tasks is exceptionally reliable. For example, pictures with higher frequency names are named faster and more accurately than those with lower frequency names. Experiments with normal participants and patients strongly suggest that this production effect arises at the level of lexical access. Further work has suggested that within lexical ac...

We investigate the problem of inducing word embeddings that are tailored for a particular bilexical relation. Our learning algorithm takes an existing lexical vector space and compresses it such that the resulting word embeddings are good predictors for a target bilexical relation. In experiments we show that task-specific embeddings can benefit both the quality and efficiency in lexical predic...

this study attempts to investigate the relationship between pollution and economic growth for two groups of countries according to environmental kuznets curve hypothesis for a sample of 24 developing countries and 26 oecd countries over the period 1980 - 2005. then, we examine this hypothesis using modern econometrics techniques including panel co-integration and panel unit-root. the panel data...

What is the root cause of word frequency effects on lexical decision times? Murray and Forster (2004) argued that such effects are linear in rank frequency, consistent with a serial search model of lexical access. This paper (i) describes a method of testing models of such effects that takes into account the possibility of parametric overfitting; (ii) illustrates the effect of corpus choice on ...

In the smart grid, large consumers can procure electricity energy from various power sources to meet their load demands. To maximize its profit, each large consumer needs to decide their energy procurement strategy under risks such as price fluctuations from the spot market and power quality issues. In this paper, an electric energy procurement decision-making model is studied for large consume...

The thesis proposes creating bilingual dictionaries and Wordnets for languages without many lexical resources using resources of resource-rich languages. Our work will have the advantage of creating lexical resources, reducing time and cost and at the same time improving the quality of resources created.

This paper presents two systems for textual entailment, both employing decision trees as a supervised learning algorithm. The first one is based primarily on the concept of lexical overlap, considering a bag of words similarity overlap measure to form a mapping of terms in the hypothesis to the source text. The second system is a lexicosemantic matching between the text and the hypothesis that ...

The present chapter frames Optimality-Theoretic approaches to phonological and morphosyntactic change in the context both of theoretical linguistics and of the questions asked in traditional historical linguistics. Previous traditional, standard generative and OT accounts are discussed, including principles of change invoked (e.g., Transparency Principle, Naturalness Condition, Neutral Ground H...