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Modeling The Speed And Timing Of American Sign Language To Generate Realistic Animations, Sedeeq Al-Khazraji
Modeling The Speed And Timing Of American Sign Language To Generate Realistic Animations, Sedeeq Al-Khazraji
Theses
While there are many Deaf or Hard of Hearing (DHH) individuals with excellent reading literacy, there are also some DHH individuals who have lower English literacy. American Sign Language (ASL) is not simply a method of representing English sentences. It is possible for an individual to be fluent in ASL, while having limited fluency in English. To overcome this barrier, we aim to make it easier to generate ASL animations for websites, through the use of motion-capture data recorded from human signers to build different predictive models for ASL animations; our goal is to automate this aspect of animation synthesis …
An Exploratory Assessment Of Peer-Reviewed Life Science Literature Statement Readability Used In Text-Based Interpretive Analyses, Jeremy Jackson
An Exploratory Assessment Of Peer-Reviewed Life Science Literature Statement Readability Used In Text-Based Interpretive Analyses, Jeremy Jackson
Theses
This project looked to explore the process of one of the scientific community’s leading text mining software, Pathway Studio, which efficiently streamlines the tedious task of information sorting and gathering in a clinical setting. To do this Pathway Studio implements a sentiment scoring algorithm which decides, based on interpreting literature similarly to natural human understanding, what sections of literature are most relevant to a given search request and provides corresponding peer-reviewed work in the industry. The novel statistics derived of its performance are used to establish an average form of a statement which reflects that of a standard level of …
An Empirical Study Of Offensive Language In Online Interactions, Diptanu Sarkar
An Empirical Study Of Offensive Language In Online Interactions, Diptanu Sarkar
Theses
In the past decade, usage of social media platforms has increased significantly. People use these platforms to connect with friends and family, share information, news and opinions. Platforms such as Facebook, Twitter are often used to propagate offensive and hateful content online. The open nature and anonymity of the internet fuels aggressive and inflamed conversations. The companies and federal institutions are striving to make social media cleaner, welcoming and unbiased. In this study, we first explore the underlying topics in popular offensive language datasets using statistical and neural topic modeling. The current state-of-the-art models for aggression detection only present a …