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$ show ikawaha/kagome

[account ↗] [repo ↗] APPLICATION ★ 982 60 ● active (last update 1 month ago)
reviewed by: nvidia/nemotron-3-super-120b-a12b

Kagome is a self-contained Japanese morphological analyzer written in pure Go. It provides tokenization with part-of-speech tagging, multiple segmentation modes (normal, search, extended), and dictionaries embedded in the binary for easy deployment. The system includes a CLI tool with subcommands (tokenize, server, lattice, sentence), a RESTful API server mode, WebAssembly support for browser use, and C library API for FFI integration with languages like Python and PHP. The architecture centers around a lattice-based Viterbi algorithm for tokenization, with clean separation between tokenizer logic, dictionary handling, filtering utilities, and interface layers.

RATING9.2/10
QUALITY8.5/10
MAINTENANCEactive
DRIFTlow
CONTRIBUTORS16
VELOCITY0.88
OPEN ISSUES1
CLOSED ISSUES39
LAST COMMIT1 month ago
github.com/ikawaha/kagome-dict (go) v1.1.7
github.com/ikawaha/kagome-dict/ipa (go) v1.2.6
github.com/ikawaha/kagome-dict/uni (go) v1.2.6
Files by Type (count)
Go
50
Markdown
12
YAML
10
Other (.mod)
7
Other (.sum)
7
Text
7
Dockerfile
4
HTML
4
Git Ignore
2
PHP
2
Python
2
JavaScript
2
Files by Type (size)
Other (.wasm)
14MB
Other (.dict)
11MB
Other (.golden)
4MB
Text
325KB
Go
188KB
Markdown
36KB
JavaScript
29KB
YAML
12KB
HTML
12KB
Python
9KB
PHP
6KB
CSS
3KB

The LLM identified 2 files worth highlighting for reuse:

Implements a robust sentence splitter for Japanese text handling various punctuation marks (。, ., !, !, ?, ?), follower characters, whitespace options, and double line feed splitting. Provides a bufio.SplitFunc interface for easy integration with Go's scanner. Demonstrates skilled Unicode text boundary detection with configurable parameters for different use cases.

file: filter/sentence_splitter.go ↗ | tags: #sentence-splitting #text-processing #unicode

A generic, type-safe object pool implementation wrapping sync.Pool for efficient resource reuse. Uses Go generics to provide type safety while eliminating allocations and ensuring concurrent safety. Demonstrates skilled application of pooling patterns to minimize GC pressure in high-throughput tokenization scenarios.

file: tokenizer/lattice/mem/pool.go ↗ | tags: #object-pool #memory-management #generics
Last analyzed: 2026-07-28 01:58:13.512394
Next check: 2026-09-18 01:28:12.379772
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