1. Error Detection
Tokens are normalized and checked against the active language dictionary and orthographic rules.
MULTILINGUAL WRITING ASSISTANT
Professional Spell Checker
Review spelling, orthography and punctuation with dedicated English, Persian and Kurdish Sorani engines.
Language:
Ready
0 words0 characters
Proofread Preview
Detected issues are highlighted by category. Click a highlight to open its suggestion.
SpellingStandardizationPunctuation
Run a check to see highlighted issues.
VISUAL ANALYTICS
Spell Quality Analytics
Highcharts visualizations summarize accuracy, issue categories, confidence and where problems occur in the document.
Words
0
Correct Words
0
Total Issues
0
Engine
-
Document Health
Correct vs Misspelled Words
Issue Types
Most Frequent Misspellings
Suggestion Confidence
Issue Density Across Document
Average Suggestion Edit Distance
Issue Position & Confidence Map
GUIDE
Spell Checking & Correction Guide
How detection, candidate generation, ranking and language-specific normalization work in this project.
Researcher
Farhad Rahimi
Specializing in NLP, low-resource languages, spelling systems and speech recognition.
2. Candidate Generation
Damerau-Levenshtein distance finds plausible corrections including insertions, deletions, substitutions and transpositions.
3. Candidate Ranking
Candidates are scored using edit similarity, common prefix and dictionary frequency signals.
4. Language Normalization
Persian and Kurdish use separate orthographic normalization so Arabic-form letters and punctuation are standardized correctly.
5. Personal Dictionary
Accepted domain words can be added to the runtime dictionary so they are no longer flagged.
6. Quality Analytics
Health, issue types, confidence, top errors and document segments help evaluate text quality visually.