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Database Management Term Project

In this project, my teammates and I had to take a sample database (the Zion database) and integrate it using Java. We included a login system that allowed the user to edit the database.

Here it is!

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Jupyter Notebook Project: US Medical Insurance Costs

In this portfolio project, I was given a CSV of patients in the United States and was told to analyse the data in any way I chose. The data included gender, age, BMI, # of children, smoking status, region, and charges. I chose to analyse the relationship between smoking status and insurance charges.

Here it is!

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Documentation for Interactive SEAS Course Planner

At the following DropBox link, there is a PDF of the documentation for a group project in my introductory software engineering course. Details are in the document.

https://www.dropbox.com/s/vhpnqx4kbcna8k0/Documentation%20for%20CS360%20Project.pdf?dl=0

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Lexical Resources in Machine Translation - Research Paper

Machine translation, the area of computational linguistics that focuses on creating language translators, has relied on lexical resources in the past to create linguistic “anthologies'' to expedite translation between languages. However, as time went on, these lexical resources became inefficient and inaccurate; focus then turned to neural machine translation, which provided a unique challenge for data specialists. The utilization of corpora from the target languages would then provide the neural machine translator with enough data to accurately and efficiently translate between the target languages and to learn more information so that it could become even more accurate and efficient in the future. As such, although lexical resources are no longer the most efficient way to translate – that is, translating with only lexical resources – using them in combination with neural networks should prove to be the solution.

Following is a link to DropBox with the PDF of the paper.

https://www.dropbox.com/s/ljfteliya7eo9rl/Lexical%20Resources%20in%20Machine%20Translation.pdf?dl=0

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The Flaws of Computational Linguistics and Solutions in Neuroscience - Research Paper

Computational linguistics, being a crossover field between data science, computer science, and linguistics, is powerful in the realm of artificial intelligence and natural language processing. It is not, however, without its flaws. It has become common in the field to think that raw computational linguistics is all that is necessary to accomplish conversational artificial intelligence with natural language processing capabilities; this, however, is overstating the importance of computational linguistics alone. It falls short in several ways, though mainly in its lack of understanding concerning the neurological aspects of linguistics. It would be nearly impossible to create conversational artificial intelligence and effective natural language processors without having a proper understanding of how the human brain processes language. The shortcomings of computational linguistics can be overcome by crossing over with neuroscience, effectively utilizing mockup neural networks to simulate human neurological processes in linguistic networks.

Following is a link to DropBox with the paper.

https://www.dropbox.com/s/j60okidxg3qvfeu/Snyder%20FINAL%20The%20Flaws%20of%20Computational%20Linguistics%20and%20Solutions%20in%20Neuroscience.pdf?dl=0

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Java Language Families Project - Inheritance Practice

To practice inheritance and overriding in Java, I created a language families project that takes in data about a language and allows one to create a language object based on certain language families.

Here's the gist.