Locale-sensitive segmentation offers a robust solution for accurately counting words in languages like Japanese, where traditional methods fail due to the absence of spaces.
Utilizing the Intl namespace with the ja-JP locale, we can create a segmenter that accurately identifies and counts Japanese words, distinguishing them from punctuation.
By leveraging the segmenter, we not only obtain individual words but also their indices and whether each segment is word-like, enhancing text processing capabilities.
The segmenter's functionality allows for a structured and locale-aware approach to text segmentation, crucial for applications dealing with different writing systems.
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