A computational linguist is working with a text corpus containing 10,000 sentences. If 30% of sentences are interrogative, how many sentences are not interrogative?

Sat, 18 Apr 2026 03:41:35 +0000

**How Many Sentences in a 10,000-Sentence Corpus Are Not Interrogative?**
*A computational linguist is analyzing a text corpus with 10,000 sentences. If 30% are interrogative, how many are not?* Across digital content platforms, understanding sentence structure and function helps users interpret large text datasets—whether they’re researchers, educators, or industry professionals. A recent analysis focused on a corpus of 10,000 sentences, where linguistic patterns reveal revealing proportions. With 30% classified as interrogative (questions), the remaining sentences form the backbone of declarative and descriptive statements that convey information. With 30% of 10,000 sentences being direct questions, that accounts for 3,000 interrogative sentences. Subtracting this from the total reveals a clear, factual foundation: 7,000 sentences clear the way for straightforward, informative commentary. This distribution offers valuable insight into the structure of real-world language data—especially relevant as language modeling and corpus analysis gain prominence in tech and education. **Why Is This Insight Gaining Attention?**
Across the United States, there’s growing focus on how language is processed, organized, and utilized in large-scale content. Computational linguistics is no longer niche—it informs search algorithms, content curation, and AI training. With 30% of a 10,000-sentence corpus interrogative, understanding the non-interrogative portion helps users and professionals identify patterns, optimize workflows, and track data quality. This simple statistic resonates in digital literacy circles where clarity and intent matter.