Common approaches to text augmentation, from random text-editing perturbations, back translation, to model-based transformations.
A beginner’s exploration of Norwegian Bokmål grammar in foma
Based on Chenhao Tan's 2016 paper Winning Arguments: Interaction Dynamics and Persuasion Strategies in Good-faith Online Discussions, this project leverages the semantic analysis capabilities of GPT-3.5 to identify tonal attributes that influence the persuasiveness of textual content.
Analyzing Aesop's fables across languages using advanced NLP techniques
Capturing Cross-Cultural Political Schemas: A Computational Analysis of Northern and Southern European Parliamentary Debates.
Analysis pipeline for compound tenses and negation in Old East Slavic treebank data.
Interactive explorer of words AI/LLMs overuse vs. human writing across 34 languages; companion to 'AI-Associated Lexical Shifts' (arXiv:2605.25358).
spaCy pipeline extracting linguistic-complexity features (type-token ratio, word length, syntactic density) with a Random Forest classifier, exploring linguistic markers of cognitive health in text.
PWC4.5: a decision tree algorithm for pairwise comparative classification (PWCCP), extending C4.5. Code, datasets, and docs for translator stylometry identification.
Reproducible, provenance-first computational research lab for the Voynich Manuscript.
Quantify the similarity between pairs of words of a dataset using Lin similarity, NPMI and LSA.
A Library in development to assess syntactic complexity
PoS tagging for Greek and Latin texts using dynamic programming and Viterbi algorithm.
Rule-based recognition of Spanish robot commands using a feature-based grammar and semantic parsing
An attempt at implementing a variety of NLP programmes using Pytorch based off of the Pytorch tutorials
A simple web application
This repository contains simple tutorials for beginners who want to learn more about NLP & AI
A python package to run contextualized topic modeling for Indic Languages. indicCTMs combine contextualized embeddings (e.g., IndicBERT) with topic models to get coherent topics in Hindi, English, and Tamil.
FST-based tokenizer in modern C++ producing typed Token structs, with no external dependencies.
A computational linguistics probing study examining how pre-trained language models process Turkish-English code-switching (CS) text compared to monolingual Turkish counterparts.
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