Arts and Humanities Commons^™

Detection And Morphological Analysis Of Novel Russian Loanwords, Yulia Spektor

Dissertations, Theses, and Capstone Projects

This paper investigates recent English loanwords in Russian and explores ways in which computational methods can help further theoretical research. The goal of the study is two-fold: to find new, previously unattested loanwords borrowed over the last decade and to examine the rate of adaptation of the new borrowings, attested by the degree to which they conform to the constraints of the Russian language. First, we train a finite-state pipeline that combines character n-gram language models, which encode phonotactic and lexical properties of loanwords, with a binary classifier to detect loanwords. The model achieves state-of-the-art performance results during evaluation, surpassing …

The Public Innovations Explorer: A Geo-Spatial & Linked-Data Visualization Platform For Publicly Funded Innovation Research In The United States, Seth Schimmel

Dissertations, Theses, and Capstone Projects

The Public Innovations Explorer (https://sethsch.github.io/innovations-explorer/app/index.html) is a web-based tool created using Node.js, D3.js and Leaflet.js that can be used for investigating awards made by Federal agencies and departments participating in the Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) grant-making programs between 2008 and 2018. By geocoding the publicly available grants data from SBIR.gov, the Public Innovations Explorer allows users to identify companies performing publicly-funded innovative research in each congressional district and obtain dynamic district-level summaries of funding activity by agency and year. Applying spatial clustering techniques on districts' employment levels across major economic sectors provides users …

Counterstories Of Black High School Students And Graduates Of Nyc Independent Schools: A Narrative Case Study, Kahdeidra M. Martin

Dissertations, Theses, and Capstone Projects

Public youth resistance movements in 2019 and 2020 exposed the entrenchment of racism, sexism, heteronormativity, and classism across New York City independent schools (NYCIS). In order to support the imminent need for schools to provide effective diversity, inclusion, and equity supports that address broad issues of school climate, relationships, and pedagogy, there is a need to better understand the specific, hyperlocal experiences of Black/African Descendant (BAD) students, who occupy several unique, unexplored spaces in educational research. The following four research questions helped to conceptualize the experiences that support and hinder the academic success and long term well-being of BAD students …

Fighting Words: Slurs, Semantics, And The Law, Richard Stillman

Dissertations, Theses, and Capstone Projects

Oppressive slurs like the n-word are fighting words par excellence. Their power to incite conflict and inflict emotional injury is unmatched by that of other, more commonplace insults. But what is it that makes oppressive slurs such potent verbal weapons? A commonplace view among both philosophers and legal theorists is that slurs make such potent insults because their uses convey extremely offensive, bigoted attitudes. This dissertation argues that this view is mistaken, and that its falsity has important implications for hate speech jurisprudence. I argue that, to grasp what makes slurs such potent verbal weapons, we ought conceive …

A Computational Study In The Detection Of English–Spanish Code-Switches, Yohamy C. Polanco

Dissertations, Theses, and Capstone Projects

Code-switching is the linguistic phenomenon where a multilingual person alternates between two or more languages in a conversation, whether that be spoken or written. This thesis studies the automatic detection of code-switching occurring specifically between English and Spanish in two corpora.

Twitter and other social media sites have provided an abundance of linguistic data that is available to researchers to perform countless experiments. Collecting the data is fairly easy if a study is on monolingual text, but if a study requires code-switched data, this becomes a complication as APIs only accept one language as a parameter. This thesis focuses on …

When Misclassification Is Misgendering: Gender Prediction In The Context Of Trans Identities, Sean Miller

Dissertations, Theses, and Capstone Projects

As a subdomain of author profiling, gender prediction (sometimes called gender inference) has received a substantial amount of attention—both as a task in itself, and for other downstream analyses. Throughout the existing literature various statistical and machine learning methods have been applied to extract features in order to either characterize and differentiate female and male writing styles, or simply to achieve maximum accuracy on gender prediction as a binary classification task. However, researchers often do not disclose how they conceptualize gender nor do they consider the implications that gender prediction has for non-binary and trans individuals. Along with an overview …