rayliuca/grammared-language

Adding Grammarly (and other) open source ML models to LanguageTool

What's novel

Adding Grammarly (and other) open source ML models to LanguageTool

Code Analysis

11 files read · 3 rounds

A gRPC server that bridges LanguageTool to open-source grammar correction models (GECToR, CoEdIT) via Triton Inference Server, using ERRANT to extract token-level edits from model outputs and convert them into LanguageTool-compatible match objects.

Strengths

Well-structured multi-model architecture with clean client abstractions, thoughtful heuristics in the ERRANT-based correction extractor (emoji filtering, bullet-point protection, trailing punctuation guards), and solid Docker/Triton deployment infrastructure with multi-platform support.

Weaknesses

The gRPC server's Analyze RPC uses naive space-splitting tokenization with hardcoded POS tags rather than real NLP, the async multi-client uses ThreadPoolExecutor to bridge sync/async in a somewhat fragile pattern, and the correction extraction logic has two parallel implementations (SequenceMatcher-based and ERRANT-based) with duplicated tokenization-fixing code.

Score Breakdown

Innovation

6 (25%)

Craft

75 (35%)

Traction

8 (15%)

Scope

86 (25%)

Signal breakdown

Innovation

Not Fork+1

Code Novelty+1

Concept Novelty+2

Craft

Ci+5

Tests+8

Polish+0

Releases+0

Has License+5

Code Quality+20

Readme Quality+15

Recent Activity+7

Structure Quality+5

Commit Consistency+5

Has Dependency Mgmt+5

Traction

Forks+0

Stars+6

Hn Points+0

Watchers+0

Early Traction+0

Devto Reactions+0

Community Contribs+2

Scope

Commits+8

Languages+8

Subsystems+13

Bloat Penalty+0

Completeness+7

Contributors+6

Authored Files+15

Readme Code Match+3

Architecture Depth+7

Implementation Depth+8

Evidence

Commits

116

Contributors

Files

127

Active weeks

TestsCI/CDREADMELicenseContributing

Repository

Language

Python

Stars

Forks

License

MIT