Better Language Translation Through Machine Learning: Everything I Wish I Knew 6 Months Ago
A discussion of lessons learned in the City of San José’s efforts to provide inclusive digital services for all residents through the San José 311 app.
The article discusses advancements in machine learning for language translation, highlighting the shift from rule-based to neural network-based approaches.
It emphasizes the importance of large datasets, model architecture, and evaluation metrics in improving translation quality, and shares practical lessons learned from building and deploying translation systems.
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