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ancatmara/
old-irish-ft-vectors

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Training Data

Old Irish FastText models were trained on St. Gall Glosses, Würzburg Glosses and Old Irish texts from CELT. A text was included in the training dataset if "Old Irish" or the dates "700-900" were explicitely mentioned in its metadata on CELT, including texts marked as "Old and Middle Irish" or "Old, Middle and Early Modern Irish". Therefore, Old Irish models can have some Middle and Early Modern Irish words in the vocabulary, as well as some Latin due to code-switching.

Available Models

There are 3 models in this familily:

Cased, 40 364 words: old_irish_cased_ft_100_5_2.txt
Lowercase, 38 216 words: old_irish_lower_ft_100_5_2.txt
Lowercase with initial mutations removed, 35 946 words: old_irish_lower_demutated_ft_100_5_2.txt

All models are trained with the same hyperparameters (emb_size=100, window=5, min_count=2, n_epochs=100) and saved as KeyedVectors (see Gensim Documentation).

Usage

python

from gensim.models import KeyedVectors
from huggingface_hub import hf_hub_download

model_path = hf_hub_download(repo_id="ancatmara/old-irish-ft-vectors", filename="old_irish_lower_ft_100_5_2.txt")
model = KeyedVectors.load_word2vec_format(model_path, binary=False)

model.similar_by_word('conchobar')

Out:

python

>>> [('chonchobar', 0.7281773090362549),
     ('conchobair', 0.7064376473426819),
     ('fergus', 0.6939500570297241),
     ('conchulaind', 0.6923369765281677),
     ('conchobor', 0.6832515597343445),
     ('óenadaig', 0.6077216863632202),
     ('dochraidi', 0.5989463329315186),
     ('choba', 0.5952028632164001),
     ('conchobur', 0.5945655107498169),
     ('cúculaind', 0.5888893604278564)]