The primary goal of psycholinguistic research is to understand the architectures and mechanisms that underlie human language comprehension and production. This entails an understanding of how linguistic knowledge is represented and organized in the brain and a theory of how that knowledge is accessed when we use language. Research has traditionally emphasized purely linguistic aspects of on-lin...

We describe our experience in developing a discourse-annotated corpus for community-wide use. Working in the framework of Rhetorical Structure Theory, we were able to create a large annotated resource with very high consistency, using a well-defined methodology and protocol. This resource is made publicly available through the Linguistic Data Consortium to enable researchers to develop empirica...

This section considers the actual performance in poverty reduction of selected LDCs for which information is available in order to get an idea of which circumstances promote success and which do not. The analysis has to be carried out in a situation of extreme data constraint, especially for the SSA which has the largest concentration of LDCs. In view of the very different nature and extent of ...

In this paper, we define the concept of uncertain multiplicative linguistic preference relation, and introduce some operational laws of uncertain multiplicative linguistic variables. We propose some new aggregation operators including the uncertain linguistic geometric mean (ULGM) operator, uncertain linguistic weighted geometric mean (ULWGM) operator, uncertain linguistic ordered weighted geom...

Lexical representation so far has not been extensively investigated in regard to language acquisition. Existing computational linguistic systems assume that text analysis and generation take place in conditions of complete lexical knowledge. That is, no unknown elements are encountered in processing text. It turns out however, that productive as well as non-productive word combinations require ...

The ability to recognize whether one text can be inferred from another is a critical element of various computational linguistics tasks. The current work explores what kind of linguistic information is useful, or even necessary, in making such inference judgments and how well an inference model using minimal representation and linguistic information performs on an inference judgment task.

This paper addresses the design of control charts for both variable ( x chart) andattribute (u and c charts) quality characteristics, when there is uncertainty about the processparameters or sample data. Derived control charts are more flexible than the strict crisp case, dueto the ability of encompassing the effects of vagueness in form of the degree of expert’spresumption. We extend the use o...