Search results for " Sequence Complexity"
showing 6 items of 6 documents
Una instantánea movida de la investigación en procesos de traducción
2014
Este artículo brinda un panorama de los avances en las investigaciones sobre los procesos de traducción e interpretación desde enfoques cognitivos y psicolingüísticos entre 2006 y 2013, con el fin de contextualizar las restantes contribuciones a este monográfico. Ofrece algunas cifras sobre publicaciones e iniciativas y luego se centra en la competencia y la pericia, la redacción, la carga mental y la complejidad lingüística, los avances en los métodos de investigación, la revisión y la metacognición, la cognición más allá del pensamiento racional y consciente, y la recontextualización de la investigación empírica. Para concluir se ofrecen algunas notas sobre las tendencias generales en el …
Overt and hidden complexity – Two types of complexity and their implications
2014
AbstractLinguistic complexity is the result of the two motivations of explicitness and economy. Most approaches focus on the exlpicitness side of complexity (overt complexity) but there is also an explicitness-oriented side to complexity (hidden complexity). The aim of the paper is to introduce hidden complexity as the neglected side of complexity and to discuss the issues of trade-offs, global complexity and equal complexity from a more encompassing perspective that integrates overt and hidden complexity.
Functional Information, Biomolecular Messages and Complexity of BioSequences and Structures
2010
In the quest for a mathematical measure able to capture and shed light on the dual notions of information and complexity in biosequences, Hazen et al. have introduced the notion of Functional Information (FI for short). It is also the result of earlier considerations and findings by Szostak and Carothers et al. Based on the experiments by Charoters et al., regarding FI in RNA binding activities, we decided to study the relation existing between FI and classic measures of complexity applied on protein-DNA interactions on a genome-wide scale. Using classic complexity measures, i.e, Shannon entropy and Kolmogorov Complexity as both estimated by data compression, we found that FI applied to pro…
The Anthropological Setting of Polysynthesis
2017
Abstract A sociolinguistically oriented study of polysynthesis literature reveals one rather striking observation. Varieties often cited as being incontrovertibly polysynthetic include languages from many different language families and different areas of the world. But many of these languages have a number of social characteristics in common: they are spoken in relatively small, traditional, non-industrialized communities, over relatively small territories. This chapter suggests that this is not a coincidence. There seems to be considerable agreement in the literature, for instance, that polysynthetic languages are ‘highly’, ‘extremely’, or ‘extraordinarily’ complex. And the literature on …
The Neural Basis of Idea Density During Natural Spoken Language
2019
Idea density (ID) evolved as a quantification of propositional base structure. Besides its function as a measure of linguistic complexity, ID has also been used as an index of general linguistic ability. In order to find the neural basis for the processing of high or low ID during spontaneous speech, a sample of healthy adults was assessed using the functional resonance imaging (fMRI) technique; participants described pictures presented to them while in the scanner. Differential patterns of activation were observed for the low- and high-ID conditions, providing new insights into the processing correlates of ID.
A Controllable Text Simplification System for the Italian Language
2021
Text simplification is a non-trivial task that aims at reducing the linguistic complexity of written texts. Researchers have studied the problem by proposing new methodologies for addressing the English language, but other languages, like the Italian one, are almost unexplored. In this paper, we give a contribution to the enhancement of the Automated Text Simplification research by presenting a deep learning-based system, inspired by a state of the art system for the English language, capable of simplifying Italian texts. The system has been trained and tested by leveraging the Italian version of Newsela; it has shown promising results by achieving a SARI value of 30.17.