grammar-checker-guide

name	grammar-checker-guide
description	Use grammar and style checking tools to polish academic manuscripts
metadata	{"openclaw":{"emoji":"✏️","category":"writing","subcategory":"polish","keywords":["grammar checker","academic style","proofreading","writing tools","language editing"],"source":"wentor-research-plugins"}}

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For unpublished research: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]],
            : [][]
        })

     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.