Grammar checker guide
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Use grammar and style checking tools to polish academic manuscripts
SKILL.md
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Grammar Checker Guide
A skill for using grammar and style checking tools to polish academic manuscripts. Covers tool comparison, configuration for scholarly writing, common academic English pitfalls, and workflows for integrating automated checking into the writing process.
Tool Comparison
Overview
| Tool | Best For | Academic Mode? | Privacy | Cost |
|---|---|---|---|---|
| Grammarly | General grammar, clarity | Yes (tone settings) | Cloud-based | Free / Premium |
| LanguageTool | Open-source, privacy | Yes (formal style) | Self-hostable | Free / Premium |
| ProWritingAid | Style depth, reports | Yes (academic style) | Cloud-based | Subscription |
| Writefull | Academic-specific | Designed for academic | Cloud-based | Free / Premium |
| Vale | CLI/CI linting for docs | Configurable rules | Local only | Free (open-source) |
Privacy Considerations
For unpublished research:
- Check the tool's data retention policy before pasting manuscript text
- LanguageTool can be self-hosted (no data leaves your machine)
- Vale runs entirely locally
- Grammarly Enterprise offers data processing agreements
For sensitive or embargoed work:
- Use local-only tools (Vale, local LanguageTool server)
- Avoid pasting full manuscripts into cloud-based free tiers
- Review the tool's terms regarding data use for model training
Configuring Tools for Academic Writing
LanguageTool Setup
import os
import json
import urllib.request
def check_text_with_languagetool(text: str, language: str = "en-US") -> list:
"""
Check text using the LanguageTool API.
Args:
text: The text to check
language: Language code (en-US, en-GB, de-DE, etc.)
"""
api_url = os.environ.get(
"LANGUAGETOOL_URL",
"https://api.languagetool.org/v2/check"
)
data = urllib.parse.urlencode({
"text": text,
"language": language,
"enabledCategories": "GRAMMAR,TYPOS,PUNCTUATION,STYLE",
"level": "picky"
}).encode("utf-8")
req = urllib.request.Request(api_url, data=data)
response = urllib.request.urlopen(req)
result = json.loads(response.read())
issues = []
for match in result.get("matches", []):
issues.append({
"message": match["message"],
"context": match["context"]["text"],
"offset": match["offset"],
"length": match["length"],
"suggestions": [r["value"] for r in match.get("replacements", [])[:3]],
"rule_id": match["rule"]["id"]
})
return issues
Vale Configuration for Academic Prose
# .vale.ini -- place in your project root
StylesPath = styles
MinAlertLevel = suggestion
[*.md]
BasedOnStyles = Vale, academic
[*.tex]
BasedOnStyles = Vale, academic
# Custom academic rules (styles/academic/):
# - Flag passive voice overuse
# - Warn about hedging ("it is believed that")
# - Flag jargon and nominalization
# - Check for consistent spelling (US vs. UK English)
Common Academic English Issues
Grammar Pitfalls
1. Subject-verb agreement with collective nouns:
Wrong: "The data shows a clear trend."
Right: "The data show a clear trend." (data is plural in academic English)
Note: "The dataset shows..." is acceptable (dataset is singular)
2. Tense consistency:
Methods: Past tense ("We collected samples...")
Results: Past tense ("The analysis revealed...")
Discussion: Present tense for established knowledge
("These results suggest that X plays a role...")
3. Article usage:
Wrong: "In the Section 3, we describe method."
Right: "In Section 3, we describe the method."
4. Dangling modifiers:
Wrong: "Using regression analysis, the results showed..."
Right: "Using regression analysis, we found that..."
Style Improvements
Wordiness -> Concise:
"due to the fact that" -> "because"
"in order to" -> "to"
"a large number of" -> "many"
"it is worth noting that" -> (delete, just state the point)
"at the present time" -> "currently" or "now"
Nominalization -> Verbal form:
"made an examination of" -> "examined"
"conducted an analysis" -> "analyzed"
"reached a conclusion" -> "concluded"
Passive -> Active (when appropriate):
"The samples were analyzed by us" -> "We analyzed the samples"
Note: Passive voice is acceptable in Methods for focus on procedure
Workflow Integration
Recommended Editing Stages
Stage 1 - Content editing (you or co-authors):
Focus on argument structure, logic, completeness
Do NOT worry about grammar yet
Stage 2 - Automated grammar check:
Run LanguageTool or Grammarly on the full manuscript
Review each suggestion -- reject false positives
Accept clear grammar and spelling fixes
Stage 3 - Style pass:
Run ProWritingAid or Vale for style analysis
Address wordiness, passive voice overuse, readability
Check for consistent terminology throughout
Stage 4 - Human proofreading:
Read aloud or have a colleague read
Catch issues that automated tools miss
Final check on formatting, references, figure labels
Discipline-Specific Conventions
Different fields have different style expectations. Medical journals expect CONSORT/STROBE language. Legal writing has distinct citation formats. Engineering papers tolerate more passive voice. Always check your target journal's author guidelines and recent publications to calibrate your style to audience expectations.