PhD in natural language processing, with years spent building NLP applications end to end. Moe works on text analysis: lexical and syntactic structure, and what separates machine-generated prose from human prose statistically. He has been experimenting with computational linguistics since the early days of NLTK, spaCy and WordNet, and still writes most of his tooling in Python.
A comma splice is two independent clauses joined by a comma alone. Here is what that comma cannot structurally do, the four repairs that fix it, and why conjunctive adverbs cause most academic splices.
Getting caught is rarely a single moment triggered by a percentage score. It is a defined process with stages, evidence standards and appeal rights, most of which never make it past a first conversation. Here is what that process actually looks like end to end, using a published university procedure rather than a guess.
Detection software matters less here than most students assume. This walks through what a professor who has already read your work actually notices when a draft stops sounding like you, from a landmark blind study of examiners to the specific, checkable signs that show up long before anyone runs a scan.
A 2023 Stanford study found AI detectors misreading fluent non-native English writing as machine-generated at a much higher rate than native writing. Here is the mechanism behind that gap, and what happened when the same essays were rewritten with richer vocabulary.
A reviewer's judgment of your argument is less separate from your comma splices and apostrophes than you would like. Here is what controlled research says mechanics actually costs a paper, and the specific rules worth getting right before anyone else reads it.
Burstiness measures how widely sentence lengths swing across a passage, not how long the average sentence runs. This post explains where the term comes from, how the spread is actually calculated, and why a language model's output tends to settle into a narrow band of lengths.