Search results for "Natural Language Processing"

Target frames in British hotel websites

2015

This article centres on four-word phrase frames in British hospitality websites. Our aim is to identify those frames that are specific to this website genre, which we call target frames. Each phrase frame represents an identical sequence of words except for one variable word, that is A*BC or AB*D. The words that fill the slot, marked with an asterisk, are called fillers. We used a corpus-driven approach using KfNgram software to identify the phrase frames in our corpus (COMETVAL). We regard phrase frames as genre-specific when they are significantly more frequent than those found in the written section of the BNC, which represents General British English. We further filtered our selection o…

A New Approach to Investigate Students’ Behavior by Using Cluster Analysis as an Unsupervised Methodology in the Field of Education

2016

The problem of taking a set of data and separating it into subgroups where the ele- ments of each subgroup are more similar to each other than they are to elements not in the subgroup has been extensively studied through the statistical method of cluster analysis. In this paper we want to discuss the application of this method to the field of education: particularly, we want to present the use of cluster analysis to separate students into groups that can be recognized and characterized by common traits in their answers to a questionnaire, without any prior knowledge of what form those groups would take (unsupervised classification). We start from a detailed study of the data processing need…

The effects of associative and semantic priming in the lexical decision task.

2001

Four lexical decision experiments were conducted to examine under which conditions automatic semantic priming effects can be obtained. Experiments 1 and 2 analyzed associative/semantic effects at several very short stimulus-onset asynchronies (SOAs), whereas Experiments 3 and 4 used a single-presentation paradigm at two response-stimulus intervals (RSIs). Experiment 1 tested associatively related pairs from three semantic categories (synonyms, antonyms, and category coordinates). The results showed reliable associative priming effects at all SOAs. In addition, the correlation between associative strength and magnitude of priming was significant only at the shortest SOA (66 ms). When prime-t…

A sentence based system for measuring syntax complexity using a recurrent deep neural network

2018

In this paper we present a deep neural network model capable of inducing the rules that identify the syntax complexity of an Italian sentence. Our system, beyond the ability of choosing if a sentence needs of simplification, gives a score that represent the confidence of the model during the process of decision making which could be representative of the sentence complexity. Experiments have been carried out on one public corpus created specifically for the problem of text-simplification.

A recurrent deep neural network model to measure sentence complexity for the Italian Language

2019

Text simplification (TS) is a natural language processing task devoted to the modification of a text in such a way that the grammar and structure of the phrases is greatly simplified, preserving the underlying meaning and information contents. In this paper we give a contribution to the TS field presenting a deep neural network model able to detect the complexity of italian sentences. In particular, the system gives a score to an input text that identifies the confidence level during the decision making process and that could be interpreted as a measure of the sentence complexity. Experiments have been carried out on one public corpus of Italian texts created specifically for the task of TS…

Extracting Formal Models from Normative Texts

2016

Normative texts are documents based on the deontic notions of obligation, permission, and prohibition. Our goal is model such texts using the C-O Diagram formalism, making them amenable to formal analysis, in particular verifying that a text satisfies properties concerning causality of actions and timing constraints. We present an experimental, semi-automatic aid to bridge the gap between a normative text and its formal representation. Our approach uses dependency trees combined with our own rules and heuristics for extracting the relevant components. The resulting tabular data can then be converted into a C-O Diagram.

2020

The Development of a Computer Science Dictionary, or How to Help Translate the Untranslatable

2006

On the terminology of voice research

1993

Summary This article reviews problems associated with establishment of a scientifically accurate, internationally recognized, multilingual terminology to describe voice. Two strategies for developing terminology are discussed: consensus and dictation. Ontological decisions are considered an integral part of developing terminology. We conclude that terminological problems should be solved by a terminological committee—as yet to be established—as they average from problems in interpreting the literature and the results of voice research. A comprehensive bibliography and audio tape of the multilingual terminology describing voice would help facilitate adaptation and understanding of the terms …

Are tools all we need? Digital Humanities in the time of its institutionalisation

2011

Three key features of the Digital Humanities today are its quantitative growth, its institutionalisation and its definition as a discipline. In the first part of this article (2. Institutional models) I shall pinpoint some models of institutionalisation that are emerging in the international scenario. Against this background, I shall then discuss (3. Tools) some concepts central to Digital Humanities’ self-definition, such as those of practice, ‘building’, centre, project, product and tools, particularly questioning the opinion that the creation of friendly digital tools is the key issue in the future of the field. I shall finally suggest that ‘instrumentalism’, ‘project fever’ and an exces…