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uhh-lt/ethiopicmodels

Domain:

natural language processing

Record type:

modelsoftware
Creator:
uhh
Host:
Different semantic models for Amharic ## Read this Medium article for full discussion. # Semantic Models for Ethiopic # The semantic models resources are added to Lanfrica ### amharic-corpus ### Semantic models ### Amharic Segmenter, toknizer, and translitrator # Announcements ### :tada: :tada: :tada: The Amharic RoBERTa model is uploaded in Huggingface Amharic RoBERTa Model :tada: :tada: :tada: ### :tada: :tada: The Amharic FLAIR embedding model is integrated into the FLAIR library as `am-forward` :tada: :tada: The model will be accessible on the next FLAIR release. Details ### :tada: :tada: The Amharic Segmenter, Toknizer, and Translitrator is released and can be installed as `pip install amseg` :tada: :tada: ### :tada: :tada: The Flair based Amharic NER classifier model is now released am-flair-ner :tada: :tada: ### :tada: :tada: The Flair based Amharic Sentiment classifier model is now released am-flair-sent :tada: :tada: ### :tada: :tada: The Flair based Amharic POS tagger is now released am-flair-pos :tada: :tada: # Different semantic models and applications for Amharic ---- * Introduction * Static word2Vec Embeddings * Network Embeddings * Contextual Embeddings ---- # Tasks, Datasets and Preprocessing tools * Here, we have described the different NLP tasks for which we built models using the benchmark datasets Tasks * NER * Sentiment * POS tagging * Question classification * Machine Translation ---- * The different datsets and resources are available under: Datasets * Named Entity recognition dataset * POS dataset * Sentiment Dataset * Question Classification Dataset * Machine Translation Dataset --- * For Etiopic word segmentation, tokenization, and translitration check this project: Segmentation ---- ## Publications To cite the different Amharic NLP models and resources, use the following paper ``` @Article{fi13110275, AUTHOR = {Yimam, Seid Muhie and Ayele, Abinew Ali and Venkatesh, Gopalakrishnan and Gashaw, Ibrahim and Biemann, Chris}, TITLE = {Introducin …