Edit model card

DictaBERT: A State-of-the-Art BERT Suite for Modern Hebrew

State-of-the-art language model for Hebrew, released here.

This is the fine-tuned model for the morphological tagging task.

For the bert-base models for other tasks, see here.

Sample usage:

from transformers import AutoModel, AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained('dicta-il/dictabert-morph')
model = AutoModel.from_pretrained('dicta-il/dictabert-morph', trust_remote_code=True)

model.eval()

sentence = 'בשנת 1948 השלים אפרים קישון את לימודיו בפיסול מתכת ובתולדות האמנות והחל לפרסם מאמרים הומוריסטיים'
print(model.predict([sentence], tokenizer))

Output:

[{
    "text": "בשנת 1948 השלים אפרים קישון את לימודיו בפיסול מתכת ובתולדות האמנות והחל לפרסם מאמרים הומוריסטיים",
    "tokens": [{
        "token": "בשנת",
        "pos": "NOUN",
        "feats": {
            "Gender": "Fem",
            "Number": "Sing"
        },
        "prefixes": ["ADP"],
        "suffix": false
    }, {
        "token": "1948",
        "pos": "NUM",
        "feats": {},
        "prefixes": [],
        "suffix": false
    }, {
        "token": "השלים",
        "pos": "VERB",
        "feats": {
            "Gender": "Masc",
            "Number": "Sing",
            "Person": "3",
            "Tense": "Past"
        },
        "prefixes": [],
        "suffix": false
    }, {
        "token": "אפרים",
        "pos": "PROPN",
        "feats": {},
        "prefixes": [],
        "suffix": false
    }, {
        "token": "קישון",
        "pos": "PROPN",
        "feats": {},
        "prefixes": [],
        "suffix": false
    }, {
        "token": "את",
        "pos": "ADP",
        "feats": {},
        "prefixes": [],
        "suffix": false
    }, {
        "token": "לימודיו",
        "pos": "NOUN",
        "feats": {
            "Gender": "Masc",
            "Number": "Plur"
        },
        "prefixes": [],
        "suffix": "PRON",
        "suffix_feats": {
            "Gender": "Masc",
            "Number": "Sing",
            "Person": "3"
        }
    }, {
        "token": "בפיסול",
        "pos": "NOUN",
        "feats": {
            "Gender": "Masc",
            "Number": "Sing"
        },
        "prefixes": ["ADP"],
        "suffix": false
    }, {
        "token": "מתכת",
        "pos": "NOUN",
        "feats": {
            "Gender": "Fem",
            "Number": "Sing"
        },
        "prefixes": [],
        "suffix": false
    }, {
        "token": "ובתולדות",
        "pos": "NOUN",
        "feats": {
            "Gender": "Fem",
            "Number": "Plur"
        },
        "prefixes": ["CCONJ", "ADP"],
        "suffix": false
    }, {
        "token": "האמנות",
        "pos": "NOUN",
        "feats": {
            "Gender": "Fem",
            "Number": "Sing"
        },
        "prefixes": ["DET"],
        "suffix": false
    }, {
        "token": "והחל",
        "pos": "VERB",
        "feats": {
            "Gender": "Masc",
            "Number": "Sing",
            "Person": "3",
            "Tense": "Past"
        },
        "prefixes": ["CCONJ"],
        "suffix": false
    }, {
        "token": "לפרסם",
        "pos": "VERB",
        "feats": {},
        "prefixes": [],
        "suffix": false
    }, {
        "token": "מאמרים",
        "pos": "NOUN",
        "feats": {
            "Gender": "Masc",
            "Number": "Plur"
        },
        "prefixes": [],
        "suffix": false
    }, {
        "token": "הומוריסטיים",
        "pos": "ADJ",
        "feats": {
            "Gender": "Masc",
            "Number": "Plur"
        },
        "prefixes": [],
        "suffix": false
    }]
}]

Citation

If you use DictaBERT in your research, please cite DictaBERT: A State-of-the-Art BERT Suite for Modern Hebrew

BibTeX:

@misc{shmidman2023dictabert,
      title={DictaBERT: A State-of-the-Art BERT Suite for Modern Hebrew}, 
      author={Shaltiel Shmidman and Avi Shmidman and Moshe Koppel},
      year={2023},
      eprint={2308.16687},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

License

Shield: CC BY 4.0

This work is licensed under a Creative Commons Attribution 4.0 International License.

CC BY 4.0

Downloads last month
39
Inference Examples
Inference API (serverless) has been turned off for this model.

Collection including dicta-il/dictabert-morph