natural-language

Perform on-device translation in a SwiftUI iOS app using the Translation framework's TranslationSession and LanguageAvailability APIs. This approach supports interactive or programmatic text translation, including batch processing and direct SwiftUI task integration.

Extract named entities and calculate sentiment from natural language text in Swift using the NaturalLanguage framework. You apply NLTagger for named entity recognition and sentiment scoring, processing strings directly to identify linguistic features.

Yes, you can measure semantic similarity between texts using embeddings on macOS and visionOS. The NaturalLanguage framework provides NLEmbedding to compute semantic similarity, allowing you to analyze and compare natural language strings directly on-device.

The best way to tokenize and tag natural language text in iOS is using the NaturalLanguage framework. You apply NLTokenizer to segment text into words, sentences, or paragraphs, and use NLTagger for part-of-speech tagging.

Yes, the NaturalLanguage framework requires optional availability checks when managing translation sessions. You must use LanguageAvailability to verify support and maintain careful thread-safety when handling TranslationSession in your app.