macOS
Homebrew已验证 · 100%
brew install jumanpplocal Homebrew formula metadata
安装
其他安装命令
Linux
Nix已验证 · 92%
nix profile install nixpkgs#jumanppnixpkgs package indexes · pkgs/by-name/ju/jumanpp/package.nix · 来源: api.github.com
概览
软件包摘要
Japanese Morphological Analyzer based on RNNLM
历史
项目历史与用法
Juman++ is a Japanese morphological analyzer from Kyoto University's NLP group. It was designed to consider semantic plausibility in word sequences with recurrent neural network language models, and version 2 rewrote the toolkit around a faster open C++ implementation.
项目历史
Kyoto University's Juman++ page links the project as a Japanese morphological analyzer and cites the 2015 EMNLP paper on morphological analysis for unsegmented languages using recurrent neural network language models.
The GitHub README describes Juman++ as a new analyzer that uses an RNN language model, and states that version 2 improved accuracy and analysis speed by more than 250 times compared with the original Juman++.
The 2018 ACL Anthology system-demonstration paper describes the version 2 toolkit as a C++11/14 lattice-based morphological-analysis library with linear and recurrent neural net language models, plus tools for exposing model problems and partial annotation.
采用历史
Juman++ gained adoption in Japanese NLP because it improved the accuracy and speed tradeoff of the JUMAN/Jumandic line while keeping a command-line analyzer usable in pipelines.
The Homebrew and Nix packages made the analyzer easy to install for developers outside Kyoto University's downloadable tarball workflow. The project also remained academically citeable through EMNLP 2015, ANLP 2018, EMNLP 2018, and a 2020 Journal of Natural Language Processing paper listed by the README.
使用方式
Users run `jumanpp` with UTF-8 Japanese text and receive one analyzed morpheme per line followed by `EOS`. The README documents options such as `--model`, `--beam`, `--specifics`, `--version`, and `--help`.
The package distribution includes a pretrained model, while the README warns that building directly from Git does not by itself provide a usable model for analysis.
为什么软件包爱好者会关心
Juman++ is notable to package maintainers because the source tree alone is not the product: usable packages need the analyzer and model assets. That tension is visible in the README's warning that release packages are much larger than source snapshots because they include a pretrained model.
It is also a bridge between classic Japanese morphological analyzers and neural NLP tooling: it keeps the Unix filter style while using neural language-model scoring under the hood.
时间线
- 2015-09: The RNNLM-based Juman++ work appeared at EMNLP 2015.
- 2017-12-02: GitHub release v2.0.0-rc1 was published as the first preview.
- 2018-03-14: GitHub release v2.0.0-rc2 was published.
- 2018-11: The Juman++ toolkit paper appeared in the EMNLP 2018 system demonstrations.
- 2023-10-03: GitHub release v2.0.0-rc4 was published.
Related projects
- Juman++ is closely related to JUMAN, Jumandic, KNP, PyKNP, and the Kyoto University Text Corpus ecosystem.
- The README points to `jumanpp-jumandic` for training a Jumandic model and to tutorial code for building analyzers for other scriptio continua settings.
来源
安全态势
风险级别：绿色
narrow executable package without higher-risk signals.
风险分类器
绿色 风险 · 低 置信度 · appliance
原因
- narrow executable package without higher-risk signals
信号
- metadata:no-higher-risk-signals
安装行为
- formula 元数据中未记录 Homebrew post-install 钩子。
- Homebrew bottle 元数据适用于 13 个平台目标。
- 安装时包含 1 个运行时依赖。
- 构建元数据列出 1 个构建依赖。
建议审查
在无人值守的代理使用前，请检查该工具是否读取明文凭据、写入远程状态、发布制品或调用插件。
可执行文件
已安装的可执行文件
| 命令 | 类型 | 暴露范围 | 备注 |
|---|---|---|---|
jumanpp | cli | 全局可执行文件 | |
mkdarts_jumanpp | cli | 全局可执行文件 |
新鲜度
版本和新鲜度
这些信号区分页生成时间、软件包管理器活动和上游发布比较。只有存在证据 URL 和可比较版本时，才会提示版本落后。
页面生成时间2026-07-08
管理器版本1.02
管理器更新时间
本地数据OK
上游not checked
检测到的最新版本未检测到
https://nlp.ist.i.kyoto-u.ac.jp/EN/index.php?JUMAN%2B%2B
- 信息No package-manager update timestamp was available.低 置信度
- 信息Release/tag comparison is only available for GitHub repositories.https://nlp.ist.i.kyoto-u.ac.jp/EN/index.php?JUMAN%2B%2Bnone 置信度
安装元数据
软件包元数据
| 软件包键 | brew:jumanpp |
|---|---|
| 版本 | 1.02 |
| 软件包管理器 | Homebrew |
| 软件包管理器页面 | https://formulae.brew.sh/formula/jumanpp |
| 主页 | https://nlp.ist.i.kyoto-u.ac.jp/EN/index.php?JUMAN%2B%2B |
| 仓库 | https://github.com/ku-nlp/jumanpp |
| 上游文档 | https://github.com/ku-nlp/jumanpp#readme |
| 许可证 | Apache-2.0 |
| 源码归档 | https://lotus.kuee.kyoto-u.ac.jp/nl-resource/jumanpp/jumanpp-1.02.tar.xz |
| 依赖 | gperftools |
| 构建依赖 | boost |
| Bottle | 可用 (于 arm64_big_sur, arm64_linux, arm64_monterey, arm64_sequoia, arm64_sonoma, arm64_tahoe, arm64_ventura, big_sur, catalina, monterey, sonoma, ventura, x86_64_linux) |
| Homebrew post-install | 未定义 |
| 服务 | 未声明 |
注册表事实
源数据库详情
| Source Database | Homebrew formula API |
|---|---|
| Tap | homebrew/core |
| Full Name | jumanpp |
| Version Scheme | 0 |
| Revision | 0 |
| Bottle Stable Root URL | https://ghcr.io/v2/homebrew/core |
| Deprecated | no |
| Disabled | no |
| Keg Only | no |
| URL Keys |
|
源数据库匹配
其他软件包管理器记录
匹配项来自外部软件包管理器索引，并与本地 Automic Vault 软件包链接分开显示。
Nix95%
jumanpp
nix profile install nixpkgs#jumanpp- normalized package name match
- 匹配方式：Jumanpp
来源线索
由仓库数据生成
此页面由 av-web 从 scripts/generate-pkg-sqlite.py 生成的私有软件包 SQLite 工件提供。
Combined YAML source
View the package source record on GitHub.
使用的来源
- Geiger risk classifier
- Nucleus package database
- av.db category and tag curation
- cross-ecosystem install command graph
- curated package history
- external package-manager database matches
- package relationship graph
- package version freshness
- package-page enrichment