# Install yamcha with Homebrew, MacPorts NLP text chunker using Support Vector Machines. Version 0.33 via Homebrew; verified from local package data. ## Install ```sh sudo av install brew:yamcha ``` Additional install commands: ### macOS - Homebrew (100%): ```sh brew install yamcha ``` Evidence: local Homebrew formula metadata - MacPorts (94%): ```sh sudo port install yamcha ``` Evidence: MacPorts ports tree: textproc/yamcha/Portfile from https://api.github.com/repos/macports/macports-ports/git/trees/master?recursive=1 ## Package facts - **Package key:** brew:yamcha - **Package manager:** Homebrew - **Package manager page:** - **Version:** 0.33 - **Source summary:** NLP text chunker using Support Vector Machines - **Homepage:** - **Upstream docs:** - **License:** LGPL-2.1-or-later - **Source archive:** - **Generated:** 2026-07-08T18:08:21+00:00 ## Executables - yamcha (cli) - yamcha-config (cli) - yamcha-mkmodel (cli) - yamcha (alias) - yamcha-config (alias) - yamcha-mkmodel (alias) ## Dependencies - tinysvm ## Build dependencies - automake ## Install behavior - Post-install hook: not defined - Bottle: available on arm64_big_sur, arm64_linux, arm64_monterey, arm64_sequoia, arm64_sonoma, arm64_tahoe, arm64_ventura, big_sur, catalina, monterey, sonoma, ventura ## Freshness - Page generated: 2026-07-08 - Package-manager version: 0.33 - Local data: ok - Upstream repository: http://chasen.org/~taku/software/yamcha/ - info: No package-manager update timestamp was available. - info: Release/tag comparison is only available for GitHub repositories. ## Project history and usage YamCha, Yet Another Multipurpose CHunk Annotator, is Taku Kudo's open-source text chunker built around support vector machines. It belongs to the pre-deep-learning generation of NLP packages where feature templates, chunk encodings, and SVM training pipelines were packaged as reusable command-line tools. ### Project history The official YamCha page describes it as a generic, customizable text chunker for POS tagging, named-entity recognition, base noun phrase chunking, and text chunking. It says the system used support vector machines and was the same system that performed best in the CoNLL-2000 shared task and a BaseNP chunking task. The YamCha news log records an initial 0.1 release in July 2001, followed by a steady 2002-2005 sequence that added multi-class strategies, memory savings for large models, C API support, PKE acceleration, experimental Perl/Python/Ruby modules, 64-bit support, and bug fixes. The project page was last revised in late 2005, matching the period when SVM chunkers were a mainstream statistical NLP approach. ### Adoption history YamCha's adoption came through NLP research and language-processing pipelines rather than general developer tooling. The companion ACL paper, Chunking with Support Vector Machines, connects the software to the 2001 NAACL work by Kudo and Matsumoto and to the then-current practice of comparing chunkers on shared tasks. The package remained relevant in Unix package managers because it bundled training and decoding commands plus a C/C++ library around TinySVM-era models. For users maintaining older NLP experiments, YamCha is a reproducibility and compatibility artifact as much as a current modeling choice. ### How it is used Typical use is to prepare token-per-line training or test data with feature columns and chunk labels, train a model with YamCha's template-driven SVM pipeline, and run the `yamcha` decoder or `yamcha-mkmodel` tooling. The official documentation emphasizes feature windows, parsing direction, pairwise versus one-vs-rest multiclass strategies, partial chunking, and model conversion for faster classification. ### Why package nerds care YamCha is historically significant because it packages a specific research-era NLP method into a reusable Unix tool. It sits beside ChaSen, TinySVM, CaboCha, CRF++, and MeCab in Taku Kudo's ecosystem of compact Japanese/NLP-oriented C and C++ tools that escaped academia into package managers. ### Timeline - 2001: Kudo and Matsumoto published Chunking with Support Vector Machines at NAACL, and YamCha 0.1 was released in July. - 2002: YamCha 0.2 added multi-class strategy selection, memory savings for large model files, and broader compiler support. - 2004: YamCha 0.30 added PKE acceleration and a C API; 0.31 added experimental Perl, Python, and Ruby modules. - 2005: YamCha 0.33 added experimental 64-bit support and bag-of-words features. ### Related projects - TinySVM is a direct dependency named by the official installation instructions. - ChaSen, CaboCha, CRF++, and MeCab are related Taku Kudo or Japanese NLP tools from the same broader ecosystem. ### Sources - - ## Security Notes narrow executable package without higher-risk signals. - **Geiger risk:** green / low - narrow executable package without higher-risk signals ## Source Database Details - **Source Database:** Homebrew formula API - **Tap:** homebrew/core - **Full Name:** yamcha - **Version Scheme:** 0 - **Revision:** 0 - **Bottle Stable Root URL:** - **Deprecated:** no - **Disabled:** no - **Keg Only:** no - **URL Keys:** stable ## Other Package-Manager Records - MacPorts - yamcha: normalized package name match | MacPorts ports tree: textproc/yamcha/Portfile from https://api.github.com/repos/macports/macports-ports/git/trees/master?recursive=1 ## Related links - [Terminal utility packages](https://www.automicvault.com/pkg/terminal-utilities/) - Matched terminal and command-line workflow metadata. - [Text processing packages](https://www.automicvault.com/pkg/text-processing-tools/) - Matched text, document, or structured-data processing metadata. - [Language runtime packages](https://www.automicvault.com/pkg/language-runtime-packages/) - Matched language runtime, compiler, or interpreter metadata. - [Networking and protocol packages](https://www.automicvault.com/pkg/networking-protocol-tools/) - Matched network, protocol, or remote-service metadata. - [tinysvm](https://www.automicvault.com/pkg/brew/tinysvm/) - Runtime dependency declared by Homebrew. - [automake](https://www.automicvault.com/pkg/brew/automake/) - Build dependency declared by Homebrew. - [mitie](https://www.automicvault.com/pkg/brew/mitie/) - Shares av.db curated category or tags: cli, data, machine-learning, natural-language-processing, nlp. - [sentencepiece](https://www.automicvault.com/pkg/brew/sentencepiece/) - Shares av.db curated category or tags: cli, data, machine-learning, natural-language-processing, nlp. - [cabocha](https://www.automicvault.com/pkg/brew/cabocha/) - Shares av.db curated category or tags: cli, data, natural-language-processing, nlp. - [mallet](https://www.automicvault.com/pkg/brew/mallet/) - Shares av.db curated category or tags: cli, data, machine-learning, natural-language-processing. - [mecab](https://www.automicvault.com/pkg/brew/mecab/) - Shares av.db curated category or tags: cli, data, natural-language-processing, nlp. - [stanford-corenlp](https://www.automicvault.com/pkg/brew/stanford-corenlp/) - Shares av.db curated category or tags: cli, data, natural-language-processing, nlp. - [stanford-ner](https://www.automicvault.com/pkg/brew/stanford-ner/) - Shares av.db curated category or tags: cli, data, natural-language-processing, nlp. - [stanford-parser](https://www.automicvault.com/pkg/brew/stanford-parser/) - Shares av.db curated category or tags: cli, data, natural-language-processing, nlp. ## Combined YAML source View the package source record on GitHub. [combined/yamcha.yml](https://github.com/automic-vault/db/blob/main/combined/yamcha.yml) ## Sources - Nucleus package database - Geiger risk classifier - package-page enrichment - curated package history - package version freshness - av.db category and tag curation - package relationship graph - external package-manager database matches - cross-ecosystem install command graph