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 joint parsing of the following tasks: Prefix Segmentation Morphological Disabmgiuation Lexicographical Analysis (Lemmatization) Syntactical Parsing (Dependency Tree) Named Entity Recognition A live demo of the model with instant visualization of the syntax tree can be found here. For a faster model, you can use the equivalent bert tiny model for this task here. For the bert base models for other tasks, see here. The model currently supports 3 types of output: 1. JSON : The model returns a JSON object for each sentence in the input, where for each sentence we have the sentence text, the NER entities, and the list of tokens. For each token we include the output from each of the tasks. 1. UD : The model returns the full UD output for each sentence, according to the style of the Hebrew UD Treebank. 1. UD, in the style of IAHLT : This model returns the full UD output, with slight modifications to match the style of IAHLT. This differences are mostly granularity of some dependency relations, how the suffix of a word is broken up, and i…
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