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#9774 Nano Ninjas is a rookie FTC Team consisting of fifteen girls in seventh and eighth grade and is a neighborhood team located in Portland, OR. This is our Engineering Notebook capturing every moment of of FTC journey. Read more about our amazing project in our story on the Overleaf blog. This is a big, detailed report at 300+ pages, so give it a few seconds to load! :-)

Short thesis recap presentation

Question Answering can be improved by focusing on three areas like the ontology enhanced processing and augmentation, content manipulation approaches, the query and the answer. Ontology enhanced processing could enhance answers to include identified objects satisfying a query. Natural language user questions and information sources with a common ontology are required for ontology-based QA systems. A Question Answering System returns answer to a user question in succinct form. In order to provide a precise answer, the system must know what exactly a user wants. The prior knowledge of the expected answer type helps the Question Answering System to extract correct and precise. Question Answering is one of the major issues in e-learning research on how to provide more interactive activities around the learners and instructors. Every answer to the questions must be relevant to the users query in that context. The input is given to the tree-tagger parser to identify the syntactical information. This syntactical information gives us the lexical constraints like Noun {NN}, Verb {VV} and other terms. The noun and verb keywords are analyzed with the semantic meaning using WordNet and semantic similarity measures. This paper proposes a method for QA system by providing different patterns for the same questions.

This template creates a dictionary with a two-column layout and clear headings delimiting different letters. The header on each page contains the first and last word on that page, making for easy navigation. Converting your current dictionary information to use in this template is easy as a single command specifies the addition of each word. By default, this line has four arguments for the: word, pronunciation, classification and definition. Each can be customized as required (e.g. bold, italic, sans-serif, etc) or other arguments can be added. When you want to add your own content in bulk, simply write a regular expression to split it into these arguments and copy it into the template. This template has been downloaded from LaTeXTemplates.com Original author: Vel (vel@latextemplates.com) inspired by a template by Marc Lavaud License: CC BY-NC-SA 3.0

A solution for CSI500 project 3

Aravind B.'s CV

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.

Übungsblatt 6

Esta é uma versão modificada por mim, da classe-inf que pode ser encontrada em http://www.inf.ufg.br/~longo/classe-inf.