This repository is for my Ph.D. qualifying exam report, titled “Shifting Sands: Temporal Context Shift in Words.”. This work presents a comprehensive literature review on the evolving meanings of words over time, exploring how shifts in linguistic context reflect deeper social, technological, and cultural changes.
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Kulkarni, V., Al-Rfou, R., Perozzi, B., & Skiena, S. (2014). Statistically Significant Detection of Linguistic Change
This paper introduces methods for detecting statistically significant changes in word usage over time, using time series analysis of word embeddings. -
Hamilton, W. L., Leskovec, J., & Jurafsky, D. (2016). Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change
This research outlines how word embeddings can be used to model and understand the processes underlying semantic change, proposing two statistical laws governing these shifts.
Report: A detailed review of the topic, including analysis and synthesis of key literature.
Presentation: A visual summary of the report, focusing on major findings and methodologies of focused papers.
For more information, feel free to email me.