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Run-on sentences are common grammatical mistakes but little research hastackled this problem to date. This work introduces two machine learning modelsto correct run-on sentences that outperform leading methods for related tasks,punctuation restoration and whole-sentence grammatical error correction. Due tothe limited annotated data for this error, we experiment with artificiallygenerating training data from clean newswire text. Our findings suggestartificial training data is viable for this task. We discuss implications forcorrecting run-ons and other types of mistakes that have low coverage inerror-annotated corpora.

How do you correct run-on sentences it's not as easy as it seems