glample/tagger

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1175 stars · 424 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Named Entity Recognition (NER) tool implementing a state-of-the-art LSTM-CRF model that works across languages without gazetteers. It ships with pretrained models for English, Spanish, German, and Dutch and supports training custom models on CoNLL-formatted data.

Use cases

• tag named entities in text
• run named entity recognition on tokenized sentences
• train a custom NER model on CoNLL-formatted data
• recognize entities in English, Spanish, German, or Dutch
• evaluate NER models on CoNLL datasets

When to choose

• you need a pretrained NER tagger for CoNLL languages without language-specific resources
• you want to train and tune an LSTM-CRF NER model on your own IOB-formatted data

When to avoid

• you need a maintained tool or modern framework support (requires Python 2.7 and Theano)
• you need NER for languages outside the four pretrained ones and lack training data
• you want transformer-based or GPU-accelerated modern NER models

Facets

library · maturity abandoned

nlp machine-learning deep-learning machine-learning python named-entity-recognition ner lstm-crf theano pretrained-models conll natural-language-processing linux macos

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markdown · JSON · MCP: product_card(name="glample/tagger")