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brew

kytea mit Homebrew, MacPorts, Nix installieren

Prüfe Installationswege, Executables, Metadaten und Sicherheitshinweise für kytea in AI-Agent-Workflows.

Installation

Weitere Installationsbefehle

macOS

Homebrewverifiziert · 100%
brew install kytea

local Homebrew formula metadata

MacPortsverifiziert · 94%
sudo port install kytea

MacPorts ports tree · textproc/kytea/Portfile · Quelle: api.github.com

Linux

Nixverifiziert · 92%
nix profile install nixpkgs#kytea

nixpkgs package indexes · pkgs/by-name/ky/kytea/package.nix · Quelle: api.github.com

Überblick

Paketzusammenfassung

Toolkit for analyzing text, especially Japanese and Chinese

Befehle und Aliase

  • api-example
  • kytea
  • train-kytea

Verlauf

Projektgeschichte und Nutzung

KyTea is the Kyoto Text Analysis Toolkit, a C++ toolkit by Graham Neubig for word segmentation, pronunciation estimation, and other analysis tasks, especially for Japanese and other languages where word or morpheme boundaries are not explicit in raw text.

Projektgeschichte

The KyTea NEWS file records version 0.0.1 on 2009-11-05 as the initial release of KyWs and KyPe. The public GitHub repository and README describe the later project as a general text-analysis toolkit focused on Japanese and languages requiring segmentation.

KyTea's design sits in the statistical NLP toolkit tradition before transformer-based tokenizers became dominant. It gives researchers and language-processing users a trainable analyzer with command-line tools and a library API rather than a closed dictionary-only analyzer.

Adoptionsgeschichte

KyTea's adoption is mostly academic and language-tooling oriented. It appears in package managers such as Homebrew, MacPorts, and Nix because Japanese and Chinese text-processing workflows often need a reproducible segmenter that can be scripted from Unix pipelines.

Wie es verwendet wird

The package installs kytea for analysis and train-kytea for model training. Users run it to segment text, estimate pronunciations, prepare corpora, or build custom models for domains where default Japanese tokenizers are not enough.

Warum Paket-Nerds sich dafür interessieren

KyTea is a nice package-manager artifact because it packages research NLP into classic Unix form: a small binary, a training command, headers, and docs. It is especially useful in multilingual text-analysis stacks where tokenization is a prerequisite rather than the final task.

Zeitleiste

  • 2009-11-05: KyTea 0.0.1 was released as the initial release of KyWs and KyPe.
  • 2009-11-16: The ChangeLog records version 0.0.2 with Shift-JIS support and an Autotools build-system change.
  • 2026-07-01: The GitHub releases page for neubig/kytea listed no packaged GitHub releases, so the historical anchor remains the repository NEWS and source documentation.

Related projects

  • Related tools and concepts include Japanese morphological analyzers, Chinese word segmentation, MeCab-style tokenization workflows, statistical NLP, corpus preparation, and trainable language-specific text-analysis pipelines.

Sicherheitslage

Risikostufe: grün

narrow executable package without higher-risk signals.

Risikoklassifikator

grün Risiko · niedrig Konfidenz · appliance

Warum

  • narrow executable package without higher-risk signals

Signale

  • metadata:no-higher-risk-signals

Installationsverhalten

  • In den Formelmetadaten ist kein Homebrew-Post-install-Hook erfasst.
  • Homebrew-Bottle-Metadaten sind für 13 Plattformziele verfügbar.

Empfohlene Prüfung

Prüfe vor unbeaufsichtigter Agent-Nutzung, ob das Tool Klartext-Credentials liest, Remote-Zustand schreibt, Artefakte veröffentlicht oder Plugins ausführt.

Executables

Installierte Executables

BefehlArtSichtbarkeitHinweis
api-examplecliglobales Executable
kyteacliglobales Executable
train-kyteacliglobales Executable

Aktualität

Version und Aktualität

Diese Signale trennen das Alter der Seitengenerierung, Aktivität des Paketmanagers und Upstream-Release-Vergleich. Versionsrückstand wird nur gemeldet, wenn eine Evidenz-URL und vergleichbare Versionen vorhanden sind.

Seite generiert2026-07-08
Manager-Version0.4.7
Manager aktualisiert2026-06-19
lokale DatenOK
Upstreamnot checked
neueste erkannte Versionnicht erkannt

https://www.phontron.com/kytea/

Installationsmetadaten

Paketmetadaten

Paketschlüsselbrew:kytea
Version0.4.7
PaketmanagerHomebrew
Paketmanager-Seitehttps://formulae.brew.sh/formula/kytea
Homepagehttps://www.phontron.com/kytea/
Repositoryhttps://github.com/neubig/kytea
Upstream-Dokumentationhttps://www.phontron.com/kytea
LizenzApache-2.0
Quellarchivhttps://www.phontron.com/kytea/download/kytea-0.4.7.tar.gz
Zuletzt aktualisiert2026-06-19T12:31:22-07:00
Pulseupdated
Bottleverfügbar (auf 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-installnicht definiert
Dienstkeiner deklariert

Registry-Fakten

Details aus der Quelldatenbank

Source DatabaseHomebrew formula API
Taphomebrew/core
Full Namekytea
Version Scheme0
Revision0
Head VersionHEAD
Bottle Stable Root URLhttps://ghcr.io/v2/homebrew/core
Deprecatedno
Disabledno
Keg Onlyno
URL Keys
  • head
  • stable

Source-Datenbank-Treffer

Andere Paketmanager-Einträge

Treffer stammen aus externen Paketmanager-Indizes und bleiben von lokalen Automic-Vault-Paketlinks getrennt.

Nix95%

kytea

nix profile install nixpkgs#kytea
  • normalized package name match
  • Abgeglichen nach: Kytea
nixpkgs package indexes · api.github.com · nixpkgs package indexes: pkgs/by-name/ky/kytea/package.nix from https://api.github.com/repos/NixOS/nixpkgs/git/trees/master?recursive=1
MacPorts95%

kytea

sudo port install kytea
  • normalized package name match
  • Abgeglichen nach: Kytea
MacPorts ports tree · api.github.com · MacPorts ports tree: textproc/kytea/Portfile from https://api.github.com/repos/macports/macports-ports/git/trees/master?recursive=1

Quellspur

Aus Repository-Daten generiert

Diese Seite wird von av-web aus dem privaten Paket-SQLite-Artefakt bereitgestellt, das scripts/generate-pkg-sqlite.py erstellt.

Verwendete Quellen

  • 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