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Redmoon Calculators
ਟੈਕਸਟ ਵਿਸ਼ਲੇਸ਼ਣ EN only

Sentence Complexity Analyzer

Free sentence complexity analyzer. Measures average clause depth, subordinate clause count, simple / compound / complex sentence classification, passive voice rate, and surfaces the longest parse-like structures.

ਪੰਜਾਬੀ ਲਈ ਡਿਜ਼ਾਈਨ ਨਹੀਂ

ਇਹ ਟੂਲ ਅੰਗਰੇਜ਼ੀ (ਅਤੇ ਕੁਝ ਸੰਬੰਧਿਤ ਭਾਸ਼ਾਵਾਂ) ਲਈ ਕੈਲੀਬਰੇਟ ਕੀਤਾ ਗਿਆ ਹੈ। ਪੰਜਾਬੀ ਵਿੱਚ ਨਤੀਜੇ ਅਰਥਪੂਰਨ ਨਹੀਂ ਹੋ ਸਕਦੇ।

ਕਦੋਂ ਵਰਤਣਾ ਹੈ

Use when your text feels hard to read but you can't pinpoint why. A high clause depth combined with high passive count is the classic recipe for "dense" prose.

ਤੁਲਨਾ

Where readability formulas give a single grade, this tool tells you what *kind* of complexity drives it — subordination, coordination, or length.

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ਇਹ ਕਿਵੇਂ ਕੰਮ ਕਰਦਾ ਹੈ

Each sentence is tokenized and counted for subordinating connectives ("because", "although"), coordinating connectives ("and", "but"), and passive constructions.

Clause depth is roughly 1 + subordinate clause count. Sentences with no connectives are "simple"; with only coordination they're "compound"; with any subordination they're "complex".

Splits surfaced are sentences over 35 words or with three or more subordinate clauses — typical candidates for trimming.

ਆਮ ਸਵਾਲ

What does clause depth measure?

Roughly how many clauses each sentence contains. A sentence with two subordinate clauses has depth 3.

What grade level does this map to?

Not directly — use a readability formula for that. This tool is about syntactic complexity, which can be high in clear writing or low in unclear writing.

Why does it flag passive voice?

Heavy passive voice and deep subordination both increase parsing load. The split suggestions surface sentences that combine both.

ਅਮਲੀ ਉਦਾਹਰਨ

ਇਨਪੁੱਟ

Although the meeting ran long, we covered every agenda item. Decisions were made. The team left energized.

ਆਉਟਪੁੱਟ

Avg clause depth: 1.67 — Simple. Mix: 2 simple, 0 compound, 1 complex.

One subordinate clause ("Although the meeting ran long") gives sentence 1 a depth of 2; the other two are depth 1. The blend reads as varied but accessible.

ਆਮ ਗਲਤੀਆਂ

  • Heuristic detection — does not parse syntax fully.
  • Dialogue confuses the simple/compound classifier (heavy "and" usage).
  • Long sentences without subordination are not flagged — only deep nesting is.

ਸੰਬੰਧਿਤ ਟੂਲ

ਫੀਡਬੈਕ ਭੇਜੋ

ਅਸੀਂ ਹਰ ਸੁਨੇਹਾ ਪੜ੍ਹਦੇ ਹਾਂ। ਦੱਸੋ ਕੀ ਬਿਹਤਰ ਹੋ ਸਕਦਾ ਹੈ ਜਾਂ ਕੀ ਚੰਗਾ ਲੱਗਾ।