Search results for " Languages"
showing 10 items of 1859 documents
Exploring Design Cognition in Voice-Driven Sound Sketching and Synthesis
2021
Conceptual design and communication of sonic ideas are critical, and still unresolved aspects of current sound design practices, especially when teamwork is involved. Design cognition studies in the visual domain represent a valuable resource to look at, to better comprehend the reasoning of designers when they approach a sound-based project. A design exercise involving a team of professional sound designers is analyzed, and discussed in the framework of the Function-Behavior-Structure ontology of design. The use of embodied sound representations of concepts fosters team-building and a more effective communication, in terms of shared mental models.
Attention-based Model for Evaluating the Complexity of Sentences in English Language
2020
The automation of text complexity evaluation (ATCE) is an emerging problem which has been tackled by means of different methodologies. We present an effective deep learning- based solution which leverages both Recurrent Neural and the Attention mechanism. The developed system is capable of classifying sentences written in the English language by analysing their syntactical and lexical complexity. An accurate test phase has been carried out, and the system has been compared with a baseline tool based on the Support Vector Machine. This paper represents an extension of a previous deep learning model, which allows showing the suitability of Neural Networks to evaluate sentence complexity in tw…
A Hybrid Architecture for Tiered Storage with Fuzzy Logic and AutoML
2020
The explosion of storage needs pauses a multifaceted challenge for organizations, not only it exerts a large pressure on precious resources, but also creates a sub-optimal data environment where the noise level may overwhelm the actual signal. However, despite the economies of scale achieved by major cloud platforms, the fundamental issue of storage optimization did not go away.
Reverse-safe data structures for text indexing
2021
We introduce the notion of reverse-safe data structures. These are data structures that prevent the reconstruction of the data they encode (i.e., they cannot be easily reversed). A data structure D is called z-reverse-safe when there exist at least z datasets with the same set of answers as the ones stored by D. The main challenge is to ensure that D stores as many answers to useful queries as possible, is constructed efficiently, and has size close to the size of the original dataset it encodes. Given a text of length n and an integer z, we propose an algorithm which constructs a z-reverse-safe data structure that has size O(n) and answers pattern matching queries of length at most d optim…
Sense Equivalence in plWordNet to Princeton WordNet Mapping
2019
Abstract Though the interest in use of wordnets for lexicography is (gradually) growing, no research has been conducted so far on equivalence between lexical units (or senses) in inter-linked wordnets. In this paper, we present and validate a procedure of sense-linking between plWordNet and Princeton WordNet. The proposed procedure employs a continuum of three equivalence types: strong, regular and weak, distinguished by a custom-designed set of formal, semantic and translational features. To validate the procedure, three independent samples of 120 sense pairs were manually analysed with respect to the features. The results show that synsets from the two wordnets linked by interlingual syno…
An Efficient Cooperative Smearing Technique for Degraded Historical Documents Images Segmentation
2020
Segmentation is one of the critical steps in historical document image analysis systems that determines the quality of the search, understanding, recognition and interpretation processes. It allows isolating the objects to be considered and separating the regions of interest (paragraphs, lines, words and characters) from other entities (figures, graphs, tables, etc.). This stage follows the thresholding, which aims to improve the quality of the document and to extract its background from its foreground, also for detecting and correcting the skew that leads to redress the document. Here, a hybrid method is proposed in order to locate words and characters in both handwritten and printed docu…
Identity-Agency in Progress: Teachers Authoring Their Identities
2018
Teachers’ professional identities have been widely recognized as the key resource through which teachers make sense of their work. Despite this recognition, few studies have offered a longitudinal perspective on the processes involved in teachers’ identity development. In this chapter I will offer an advanced conceptualization of the ways in which teachers author their identity development processes. I use examples from two longitudinal research projects on pre-service and in-service teachers’ identity development to illustrate the teachers’ efforts to maintain and develop their professional identities, and identifies two agentic dynamics in professional identity development: renegotiation …
An Interactive Framework for Offline Data-Driven Multiobjective Optimization
2020
We propose a framework for solving offline data-driven multiobjective optimization problems in an interactive manner. No new data becomes available when solving offline problems. We fit surrogate models to the data to enable optimization, which introduces uncertainty. The framework incorporates preference information from a decision maker in two aspects to direct the solution process. Firstly, the decision maker can guide the optimization by providing preferences for objectives. Secondly, the framework features a novel technique for the decision maker to also express preferences related to maximum acceptable uncertainty in the solutions as preferred ranges of uncertainty. In this way, the d…
Engagement in Emergency Remote Education
2022
Digital storytelling (DST) has been effective for student engagement in second language (L2) education. Yet, its impact on engagement has commonly been examined in the classroom through synchronous DST tools and platforms. This study enquires whether DST can be equally engaging in the context of emergency remote education caused by the COVID-19 pandemic. The participants of the study are 42 student-teachers of English who developed an asynchronous online DST project. Data were collected through a DST questionnaire and were analysed using quantitative and qualitative data analysis methods. DST was found to generate mainly cognitive engagement through self-reflection processes and behavioural…
Using English as the Language of Science
2021
This article presents the development and testing of a content-based video exchange model as a motivating means to introduce lower secondary English learners to English as the language of science. The central goal was that students reach the required curricular content knowledge despite learning some of the content in a foreign language. The model was tested in German seventh-grade classes (n = 133), in which the students communicated with U.S. eighth-graders on the topic of ecology. Following field trips to a forest and a desert ecosystem, students presented and compared biotic and abiotic data in videos. The German students’ content knowledge and their motivation were assessed in a pretes…