Summary of Gr-nlp-toolkit: An Open-source Nlp Toolkit For Modern Greek, by Lefteris Loukas et al.
GR-NLP-TOOLKIT: An Open-Source NLP Toolkit for Modern Greek
by Lefteris Loukas, Nikolaos Smyrnioudis, Chrysa Dikonomaki, Spyros Barbakos, Anastasios Toumazatos, John Koutsikakis, Manolis Kyriakakis, Mary Georgiou, Stavros Vassos, John Pavlopoulos, Ion Androutsopoulos
First submitted to arxiv on: 11 Dec 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Software Engineering (cs.SE)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The GR-NLP-TOOLKIT is an open-source natural language processing (NLP) toolkit specifically designed for modern Greek. It offers state-of-the-art performance in five core NLP tasks: part-of-speech tagging, morphological tagging, dependency parsing, named entity recognition, and Greeklishto-Greek transliteration. The toolkit relies on pre-trained Transformers and can be easily installed in Python (pip install gr-nlp-toolkit) or accessed through a demonstration platform on HuggingFace. It also provides a publicly available API for non-commercial use. The authors discuss the functionality provided for each task, the underlying methods, and experiments against comparable open-source toolkits. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The GR-NLP-TOOLKIT is a special toolkit that helps computers understand Greek words and sentences better. It can do five important tasks: figure out what parts of speech (like nouns or verbs) are in a sentence, identify how words are related to each other, recognize specific words like names or locations, and translate written Greek into spoken Greek. The best part is that it’s free and easy to use! You can even try it online or use its special code to make your own programs. |
Keywords
» Artificial intelligence » Dependency parsing » Named entity recognition » Natural language processing » Nlp
