derived from Luis Diego Soto Ugalde's template "LibRes:slides" also presented in the library.
The changes I did was switching the citation to APA and removing unneeded packages.
Source: https://www.ctan.org/tex-archive/info/symbols/comprehensive
This has been uploaded to Overleaf by Lian Tze Lim
To search the document for the desired symbol, it is easiest to
download the PDF from Overleaf and use a local PDF viewer, or to
visit: http://texdoc.net/texmf-dist/doc/latex/comprehensive/symbols-a4.pdf
We all have a good reason to learn a new language; discovering our roots, passion for travel, academic purposes, pure interest etc. However most of us find it hard to become conversationally fluent in a new language while we use traditional resources for learning like textbooks and tutorials on the internet. In this paper we propose a novel approach to learn a new language. We aim to develop an intelligent browser extension, LanGauger, that will help users learn foreign languages. This application will allow users to look up words while they are browsing, by highlighting the text to be learned. The application will then provide a translation of the word, its pronunciation and its usage context in sentences. In addition, this intelligent tutor will also remember what words have been seen by the user, and quiz them on these words at appropriate times. While testing the recall of the user, this feature will also allow users to frequently think about the language and use it.
Research about recommendation systems has increased due to the amount of information that it is available to individuals. In the music context these systems help the individual to filter and discover new songs according the individual's taste. Most of the business music companies use a recommendation system, based on the characteristics of a song listened by an individual, but a group recommendation system is still underexplored. For a shared environment when there is music, the songs selection will be more efficient if a group recommendation system is used. The goal of this project is to develop a music recommendation for a group that, is sharing the same environment, taking into consideration the context. For this reason, in this work we will employ the Spotify API to recover the data of playlists that were listened by an individual, collecting its preferences and adding them to the others individuals playlists.
João Gabriel Bracaioli
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