OPENNLP(1)

📦
version 2.5.9 · 6 versions
, in ubuntu stonking

🌸 NAME 🌸

opennlp — the CLI interface to Apache OpenNLP, bestie 💅

✨ DESCRIPTION ✨

okay so the moment you run opennlp, it immediately starts yelling log lines at you before you even ask for anything. It's giving main character energy. Here's literally what comes out:

[main] INFO opennlp.tools.cmdline.CLI - OpenNLP 2.5.9.
[main] INFO opennlp.tools.cmdline.CLI - Usage: opennlp TOOL
[main] INFO opennlp.tools.cmdline.CLI - where TOOL is one of:

And TOOL is one of these iconic lil guys 👑 (no cap, this is the full roster):

🎀 Document Categorizer vibes

  • Doccat — Learned document categorizer 🗂️
  • DoccatTrainer — Trainer for the learnable document categorizer 🏋️
  • DoccatEvaluator — Measures the performance of the Doccat model with the reference data 📏
  • DoccatCrossValidator — K-fold cross validator for the learnable Document Categorizer 🔁
  • DoccatConverter — Converts 20newsgroup data format to native OpenNLP format 🔄

🦋 Language Detector vibes

  • LanguageDetector — Learned language detector 🌍
  • LanguageDetectorTrainer — Trainer for the learnable language detector 🏋️
  • LanguageDetectorConverter — Converts leipzig data format to native OpenNLP format 🔄
  • LanguageDetectorCrossValidator — K-fold cross validator for the learnable Language Detector 🔁
  • LanguageDetectorEvaluator — Measures the performance of the Language Detector model with the reference data 📏

🌸 Tokenizer vibes

  • DictionaryBuilder — Builds a new dictionary 📖
  • SimpleTokenizer — Character class tokenizer ✂️
  • TokenizerME — Learnable tokenizer ✂️
  • TokenizerTrainer — Trainer for the learnable tokenizer 🏋️
  • TokenizerMEEvaluator — Measures the performance of the learnable tokenizer 📏
  • TokenizerCrossValidator — K-fold cross validator for the learnable tokenizer 🔁
  • TokenizerConverter — Converts external data formats (irishsentencebank, ad, pos, masc, conllx, namefinder, parse, conllu) to native OpenNLP format 🔄
  • DictionaryDetokenizer — Normalizes tokenized text according to rules defined in a detokenizer dictionary 🧹

⭐ Sentence Detector vibes

  • SentenceDetector — Learnable sentence detector 📝
  • SentenceDetectorTrainer — Trainer for the learnable sentence detector 🏋️
  • SentenceDetectorEvaluator — Measures the performance of the learnable sentence detector 📏
  • SentenceDetectorCrossValidator — K-fold cross validator for the learnable sentence detector 🔁
  • SentenceDetectorConverter — Converts external data formats (nkjp, irishsentencebank, ad, pos, masc, conllx, namefinder, parse, moses, conllu, letsmt) to native OpenNLP format 🔄

💜 Name Finder vibes

  • TokenNameFinder — Learnable name finder 🔎
  • TokenNameFinderTrainer — Trainer for the learnable name finder 🏋️
  • TokenNameFinderEvaluator — Measures the performance of the NameFinder model with the reference data 📏
  • TokenNameFinderCrossValidator — K-fold cross validator for the learnable Name Finder 🔁
  • TokenNameFinderConverter — Converts external data formats (evalita, ad, conll03, bionlp2004, conll02, masc, muc6, ontonotes, brat) to native OpenNLP format 🔄
  • CensusDictionaryCreator — Converts 1990 US Census names into a dictionary 🗽

🔥 POS Tagger vibes

  • POSTagger — Learnable part of speech tagger 🏷️
  • POSTaggerTrainer — Trains a model for the part-of-speech tagger 🏋️
  • POSTaggerEvaluator — Measures the performance of the POS tagger model with the reference data 📏
  • POSTaggerCrossValidator — K-fold cross validator for the learnable POS tagger 🔁
  • POSTaggerConverter — Converts external data formats (ad, masc, conllx, parse, ontonotes, conllu) to native OpenNLP format 🔄

💖 Lemmatizer vibes

  • LemmatizerME — Learnable lemmatizer 🌱
  • LemmatizerTrainerME — Trainer for the learnable lemmatizer 🏋️
  • LemmatizerEvaluator — Measures the performance of the Lemmatizer model with the reference data 📏

🧚 Chunker vibes

  • ChunkerME — Learnable chunker 🧩
  • ChunkerTrainerME — Trainer for the learnable chunker 🏋️
  • ChunkerEvaluator — Measures the performance of the Chunker model with the reference data 📏
  • ChunkerCrossValidator — K-fold cross validator for the chunker 🔁
  • ChunkerConverter — Converts ad data format to native OpenNLP format 🔄

🌈 Parser vibes

  • Parser — Performs full syntactic parsing 🌳
  • ParserTrainer — Trains the learnable parser 🏋️
  • ParserEvaluator — Measures the performance of the Parser model with the reference data 📏
  • ParserConverter — Converts external data formats (ontonotes, frenchtreebank) to native OpenNLP format 🔄
  • BuildModelUpdater — Trains and updates the build model in a parser model 🔧
  • CheckModelUpdater — Trains and updates the check model in a parser model 🔧
  • TaggerModelReplacer — Replaces the tagger model in a parser model 🔧

🍓 Extra lil icons

  • EntityLinker — Links an entity to an external data set 🔗
  • NGramLanguageModel — Gives the probability and most probable next token(s) of a sequence of tokens in a language model 🎲

and then it wraps up with the most helpful part, fr fr:

[main] INFO opennlp.tools.cmdline.CLI - All tools print help when invoked with help parameter
[main] INFO opennlp.tools.cmdline.CLI - Example: opennlp SimpleTokenizer help

So yeah — every single tool prints help when you invoke it with the help parameter. Like, the example is literally:

opennlp SimpleTokenizer help
💀 not the log-prefixed output making it look like a whole crime scene, but that's just how the CLI do. Slay.

k bye bestie, go tokenize something 🫶 this has been opennlp version 2.5.9, dated May 2026, and the manpage answers to the name OPENNLP(1) 💅✨

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