Can AI help me check the use of attributives and clauses in my thesis?

AI tools can effectively assist in checking attributive clauses and adverbial clauses within academic theses. They utilize natural language processing (NLP) to identify and analyze these complex grammatical structures within text. These systems primarily function by parsing sentence structure, recognizing dependent clause markers (e.g., relative pronouns like "which" or subordinating conjunctions like "because"), and assessing clause boundaries. Their capability depends significantly on the sophistication of the underlying linguistic models and training data. While highly proficient at detecting syntactical patterns and potential structural errors like dangling modifiers or misplaced clauses, AI may struggle with nuanced semantic accuracy or discipline-specific stylistic conventions. Users should critically review suggestions, particularly regarding meaning and rhetorical flow. AI significantly enhances writing precision and readability by identifying misplaced, ambiguous, or overly complex clauses. This automates initial structural review, allowing writers to focus on argument clarity and content strength. The application streamlines the editing process, improving grammatical robustness crucial for thesis coherence and professionalism, while acting as a valuable preliminary screening tool prior to human proofreading.