Recently, the focus of complex networks research has shifted from the analysis of isolated properties of a system toward a more realistic modeling of multiple phenomena multilayer networks. Motivated by the prosperity of multilayer approach in social, transport or trade systems, we propose the introduction of multilayer networks for language. The multilayer network of language is a unified fram...

Inference is an important strategy that could be applied in listening activities. It could help one to grasp the meanings of an oral message by analysing textual and contextual information. When the listener has difficulties in activities because of his poor linguistic skills, it is strongly recommended that he apply the inference strategy efficiently. But how and to what degree does this strat...

The relationship between working memory capacity and writing ability was examined via a linguistic analysis of student essays. Undergraduate students (n = 108) wrote timed, prompt-based essays and completed a battery of cognitive assessments. The surfaceand discourse-level linguistic features of students’ essays were then analyzed using natural language processing tools. The results indicated t...

In a previous report we used the Linked Dipole Chain model unintegrated gluon densities to investigate the uncertainties in the predictions for central exclusive production of scalars at hadron colliders. Here we expand this investigation by also looking at other parameterizations of the unintegrated gluon density, and look in more detail on the behavior of these at small k⊥. We confirm our con...

Seeing others is a central metaphor in James Cameron’s film Avatar, used as a means to express empathy and empathic bonding throughout the film, both between humans and the Na’vi, and between the Na’vi and the animals that inhabit their world. Empathy entails an ability to see and feel the world from another’s perspective—feeling with rather than feeling for. Jake Sully’s shifting and boundary-...

This paper describes ongoing efforts at Linguistic Data Consortium to create shared evaluation resources for improved speech-to-text technology. The DARPA EARS Program (Effective, Affordable, Reusable Speech-to-Text) is focused on enabling core STT technology to produce rich, highly accurate output in a range of languages and speaking styles. The aggressive EARS program goals motivate new appro...

In this position paper we discuss some of the experiences we made in describing lexical data using representation formalisms that are compatible for the publication of such data in the Linked Data framework. While we see a huge potential in the emerging Linguistic Linked Open Data, also supporting the publication of less-resourced language data on the same platform as for mainstream languages, ...

Multimodel approaches are widely used with linear submodels, but border areas around submodels are problematic. Special cases of fuzzy linguistic equation models, which can be understood as linguistic Takagi-Sugeno (LTS) type fuzzy models, can be used to solve these problems in many cases. These models use a special nonlinear scaling approach for both inputs and outputs. The LTS models are robu...

We present a new probabilistic decision making model by using the 2-tuple linguistic representation approach. We introduce the 2tuple linguistic probabilistic ordered weighted averaging (2T-LPOWA) operator. We study some of its particular cases including the 2-tuple linguistic probabilistic aggregation and the 2tuple linguistic arithmetic OWA operator. We show an application of the new approach...

The recognition of Hindi Characters is of two types, one is simple characters recognition that comprises of consonants and vowels and second is compound characters recognition. The compound characters are those which are formed by joining of two or more consonants. So the recognition of compound characters is more difficult in comparison to that of simple characters due to their structure. This...