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使用 Homebrew, MacPorts 安装 stanford-parser

查看 stanford-parser 的安装路径、可执行文件、元数据以及面向 AI 代理工作流的安全说明。

安装

其他安装命令

macOS

Homebrew已验证 · 100%
brew install stanford-parser

local Homebrew formula metadata

MacPorts已验证 · 94%
sudo port install stanford-parser

MacPorts ports tree · textproc/stanford-parser/Portfile · 来源: api.github.com

概览

软件包摘要

Statistical NLP parser

命令和别名

  • lexparser-gui.sh
  • lexparser-lang-train-test.sh
  • lexparser-lang.sh
  • lexparser.sh

历史

项目历史与用法

Stanford Parser is the Stanford NLP Group's Java parser package for constituency and dependency parsing. It is both a standalone distribution and part of the CoreNLP lineage.

项目历史

The CoreNLP release history identifies Stanford Parser, released on 5 December 2002, as the earliest open-source software now comprising CoreNLP. The parser documentation says the original version was mainly written by Dan Klein, with support code and linguistic grammar development by Christopher Manning, followed by extensive contributions from other Stanford NLP researchers.

采用历史

The parser became widely packaged because it exposed statistical parsing models through a Java distribution, command-line scripts, GUI tooling, and language wrappers. The official parser page even notes Homebrew installation for OS X, reflecting its role as a standalone CLI package before and alongside the unified CoreNLP distribution.

使用方式

Users download the parser distribution and language models, then run parser scripts or Java classes to produce phrase-structure and dependency parses. The package includes PCFG, lexicalized dependency, lexicalized PCFG, shift-reduce, and neural dependency parser components depending on distribution and model selection.

为什么软件包爱好者会关心

Package maintainers care about Stanford Parser because it represents the classic heavy NLP CLI package: model jars, Java launch scripts, language-specific assets, and optional GUI behavior. A system package makes it easier to call from shell scripts and wrapper libraries without manually assembling each release.

时间线

  • 2002: Stanford Parser is released as open-source software.
  • 2003: Klein and Manning publish the cited ACL paper for accurate unlexicalized parsing.
  • 2014: Parser releases add shift-reduce and dependency improvements in the CoreNLP-era tooling.
  • 2020: Standalone parser 4.2.0 retrains English models with treebank fixes.

Related projects

  • Stanford Parser is related to CoreNLP, Stanford POS Tagger, Stanford NER, shift-reduce constituency parsing, neural dependency parsing, Tregex/Tsurgeon, and language wrappers for Java, PHP, Python/Jython, Ruby, and .NET.

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

  • 未记录 Homebrew bottle 元数据。

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
lexparser-gui.sh可执行文件已索引可执行文件从本地可执行文件索引发现。
lexparser-lang-train-test.sh可执行文件已索引可执行文件从本地可执行文件索引发现。
lexparser-lang.sh可执行文件已索引可执行文件从本地可执行文件索引发现。
lexparser.sh可执行文件已索引可执行文件从本地可执行文件索引发现。

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2026-08-03
管理器版本4.2.0
管理器更新时间2026-06-22
本地数据未知
上游不可用
检测到的最新版本未检测到
  • OK没有生成新鲜度警告。

安装元数据

软件包元数据

软件包键brew:stanford-parser
版本4.2.0
软件包管理器Homebrew
主页https://nlp.stanford.edu/software/lex-parser.shtml
最后更新2026-06-22T14:06:23-07:00
Pulseupdated
Bottle未记录
服务未声明

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。

MacPorts95%

stanford-parser

sudo port install stanford-parser
  • normalized package name match
  • 匹配方式:Stanford Parser
MacPorts ports tree · api.github.com · MacPorts ports tree: textproc/stanford-parser/Portfile from https://api.github.com/repos/macports/macports-ports/git/trees/master?recursive=1

来源线索

由仓库数据生成

此页面由 av-webscripts/generate-pkg-sqlite.py 生成的私有软件包 SQLite 工件提供。

使用的来源

  • Geiger risk classifier
  • cross-ecosystem install command graph
  • curated package history
  • external package-manager database matches
  • pkg.so package database
  • pkgdb category and tag curation