Search results for "MAZ"
showing 10 items of 3205 documents
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…
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…
Deep neural attention-based model for the evaluation of italian sentences complexity
2020
In this paper, the Automatic Text Complexity Evaluation problem is modeled as a binary classification task tackled by a Neural Network based system. It exploits Recurrent Neural Units and the Attention mechanism to measure the complexity of sentences written in the Italian language. An accurate test phase has been carried out, and the system has been compared with state-of-art tools that tackle the same problem. The computed performances proof the model suitability to evaluate sentence complexity improving the results achieved by other state-of-the-art systems.
A Lexicon-based Approach for Sentiment Classification of Amazon Books Reviews in Italian Language
2016
We present a system aimed at the automatic classification of the sentiment orientation expressed into book reviews written in Italian language. The system we have developed is found on a lexicon-based approach and uses NLP techniques in order to take into account the linguistic relation between terms in the analyzed texts. The classification of a review is based on the average sentiment strenght of its sentences, while the classification of each sentence is obtained through a parsing process inspecting, for each term, a window of previous items to detect particular combinations of elements giving inversions or variations of polarity. The score of a single word depends on all the associated …
Metodes angļu valodas vārdu lasīšanas prasmju attīstībai mazākumtautību skolas 1.klasē
2021
Diplomdarba nosaukums: Metodes angļu valodas vārdu lasīšanas prasmju attīstībai mazākumtautību skolas 1.klasē. Darba autore: Karīna Žantē Darba zinātniskā vadītāja: M. izgl. zin. Anita Auziņa Pētījuma mērķis: izpētīt metodes angļu valodas vārdu lasīšanas prasmju attīstībai mazākumtautību skolas 1. klasē. Pētījuma hipotēze: mazākumtautību skolas 1. klasē lasītprasme angļu valodā tiek attīstīta efektīvāk, ja tiek izmantota leksiskā pieeja un skolēni regulāri izmanto redzes un dzirdes atmiņas uzdevumus vārdu apguves procesā. Pētījuma teorētiskajā daļā ir analizētas teorētiskās atziņas par redzes un dzirdes atmiņas nozīmīgumu angļu valodas mācību procesā. Pētījuma empīriskajā daļā autore pārbau…
Would a robot trust you? Developmental robotics model of trust and theory of mind
2019
Trust is a critical issue in human - robot interactions: as robotic systems gain complexity, it becomes crucial for them to be able to blend into our society by maximizing their acceptability and reliability. Various studies have examined how trust is attributed by people to robots, but fewer have investigated the opposite scenario, where a robot is the trustor and a human is the trustee. The ability for an agent to evaluate the trustworthiness of its sources of information is particularly useful in joint task situations where people and robots must collaborate to reach shared goals. We propose an artificial cognitive architecture based on the developmental robotics paradigm that can estima…
Photochemical mineralization of terrigenous DOC to dissolved inorganic carbon in ocean
2018
When terrigenous dissolved organic carbon (tDOC) rich in chromophoric dissolved organic matter (tCDOM) enters the ocean, solar radiation mineralizes it partially into dissolved inorganic carbon (DIC). This study addresses the amount and the rates of DIC photoproduction from tDOC and the area of ocean required to photomineralize tDOC. We collected water samples from 10 major rivers, mixed them with artificial seawater, and irradiated them with simulated solar radiation to measure DIC photoproduction and the photobleaching of tCDOM. The linear relationship between DIC photoproduction and tCDOM photobleaching was used to estimate the amount of photoproduced DIC from the tCDOM fluxes of the stu…
Introduction to Gestural Similarity in Music. An Application of Category Theory to the Orchestra
2019
Mathematics, and more generally computational sciences, intervene in several aspects of music. Mathematics describes the acoustics of the sounds giving formal tools to physics, and the matter of music itself in terms of compositional structures and strategies. Mathematics can also be applied to the entire making of music, from the score to the performance, connecting compositional structures to acoustical reality of sounds. Moreover, the precise concept of gesture has a decisive role in understanding musical performance. In this paper, we apply some concepts of category theory to compare gestures of orchestral musicians, and to investigate the relationship between orchestra and conductor, a…
Synthesis, characterization, and cytotoxic activity of copper(II) and platinum(II) complexes of 2-benzoylpyrrole and X-ray structure of bis[2-benzoyl…
2004
Copper(II) and platinum(II) complexes of 2-benzoylpyrrole (2-BZPH) were synthesized and characterized with IR, 1 H and 1 3 C NMR spectroscopies and coordination geometry with ligands arranged in transoid fashion. The crystal structure of [Cu I I (2-BZP) 2 ] was determined by X-ray diffraction. Death of complex treated Jurkat cells was measured by flow cytometry. The bis-chelate complexes [Cu I I (2-BZP) 2 ] and [Pt I I (2-BZP) 2 ] adopt square-planar coordination geometry with ligands, arranged in transoid fashion. Concentrations of 1-10 μM Platinum(II) complexes reduced cell survival from 100% to 20%, in contrast to the copper(II) complex which caused no cell death at a concentration of 10…
Logopēda un ģimenes sadarbība skaņu izrunas traucējumu mazināšanā piecgadīgiem bērniem
2015
Darba autore: Gunita Apšukrapša Darba tēma: LOGOPĒDA UN ĢIMENES SADARBĪBA SKAŅU IZRUNAS TRAUCĒJUMU MAZINĀŠANĀ PIECGADĪGIEM BĒRNIEM. Darba veids: Diplomdarbs. Studiju programma: Skolotājs – logopēds 204 CH. Darba zinātniskais vadītājs: Mg. paed. E. Laganovska. Darba apjoms: 38 lpp, ievads, 4 nodaļas, 1 nodaļa ar apakšnodaļām, empīriskā daļa, nobeigums, anotācija, literatūras saraksts, pielikumi. Atslēgas vārdi: logopēds, ģimene, sadarbība, piecgadnieks. Pētījuma mērķis: teorētiski un praktiski noskaidrot logopēda un ģimenes sadarbības iespējas skaņu izrunas traucējumu mazināšanā piecgadīgiem bērniem pirmskolās. Darba saturs: 1. piecgadnieka vecumposma raksturojums; 2. skaņu izrunas traucējum…