This repository presents a comprehensive evaluation of word embeddings in Spanish with paper and code. We trained word vectors over La Solana using the library fasttext. You can visualize them following this link to Tensorflow Embeddings Projector. Try searching for 'la_casota', 'ofrecimiento' or 'moje'. Do you have any idea what these words mean in La Solana?
Summary and links for lasolana-embeddings:
| Corpus | Size | Algorithm | Vectors | Vec-Dim |
|---|---|---|---|---|
| Collected corpus | 4.1M | FastText | 29682 | 150 |
Links to the embeddings (#dimensions=150, #vectors=29,682):
- Vector format (.vec) (34.5 MB)
- Binary format (.bin) (34.5 MB)
- TSV format (.tsv) (49.5 MB)
All digitized corpus about La Solana that we have access to:
- Gaceta de La Solana until december 2023
- Noticias de La Solana
- Julián Simón's blog
- García Gallego, José María. El legado Bustillo de La Solana: su fundación, visicitudes, intervención de Costa, asesinato del cura Torrijos, situación actual. (1935)
Corpus Size: over 4 million words Preprocessing: Explained in training_eval notebook.
Implementation: FastText with Skipgram and no sub-words
- min subword-ngram = 0
- max subword-ngram = 0
- neg = 5
- ws = 5
- epochs = 5
- dim = 150
- all other parameters set as default