Building Digital Dictionaries for Local Languages in Indonesia with Python NLP

Resumo

Learn how to build open-source bilingual dictionaries for Indonesia’s local languages using Python NLP libraries such as spaCy, NLTK, and Transformers. This talk explores practical methods to process low-resource languages, including hybrid rule-based and transformer models. We will discuss how to build dictionary data pipelines and add features like search, synonyms, antonyms, and lemmatization. The session also highlights the role of open-source collaboration in preserving linguistic diversity through technology.

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