combo-nlp 4.0.4

COMBO-NLP - A library for Morphosyntactic Tagging and Dependency Parsing.

COMBO-NLP

A library for Morphosyntactic Tagging and Dependency Parsing based on Universal Dependencies.

Installation

pip install combo-nlp

LAMBO segmenter (optional)

A segmenter is only needed when passing raw text strings to COMBO. If you provide pre-tokenized input (list[str] or list[list[str]]), no segmenter is required.

When you initialize COMBO with a language name (e.g. COMBO("Polish")), it automatically loads a LAMBO segmenter. If LAMBO is not installed, an ImportError is raised. LAMBO is hosted on a custom PyPI index and must be installed separately:

pip install --index-url https://pypi.clarin-pl.eu/ lambo

Usage

Full text input

from combo import COMBO

# Load by HuggingFace model ID:
nlp = COMBO.from_pretrained("clarin-pl/combo-nlp-xlm-roberta-base-polish-pdb-ud2.17")
result = nlp("Ala ma kota.")

# Or load by language name (with Lambo segmenter):
nlp = COMBO("Polish")
result = nlp("Ala ma kota.")

# Or use the Language enum:
from combo import Language
nlp = COMBO(Language.POLISH)
result = nlp("Ala ma kota.")

# Multiple sentences:
result = nlp(["Ala ma kota.", "Pies je."])

# Access results:
for sentence in result:
    for token in sentence:
        print(token.form, token.upos, token.head, token.deprel, token.lemma)

Pre-tokenized input

from combo import COMBO

nlp = COMBO.from_pretrained("clarin-pl/combo-nlp-xlm-roberta-base-polish-pdb-ud2.17")

# Single sentence:
result = nlp(["Ala", "ma", "kota", "."], tokenized=True)

# Multiple sentences:
result = nlp([["Ala", "ma", "kota", "."], ["Pies", "je", "."]], tokenized=True)