<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>BERT on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/bert/</link><description>Recent content in BERT on English AI Terms Dictionary</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 18 Jul 2026 11:44:44 +0000</lastBuildDate><atom:link href="https://terms-en.ai-term-hub.com/en/tags/bert/index.xml" rel="self" type="application/rss+xml"/><item><title>WordPiece</title><link>https://terms-en.ai-term-hub.com/en/terms/wordpiece/</link><pubDate>Sat, 18 Jul 2026 10:20:04 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/wordpiece/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>WordPiece is a tokenization method widely used in natural language processing models like BERT and ALBERT. It breaks down words into smaller subword units to manage morphological richness and reduce vocabulary size. The algorithm starts with a base vocabulary and iteratively adds the most frequent character pairs until a target size is reached. This allows the model to represent rare or unseen words by combining known subwords, improving generalization and handling of linguistic variations effectively.&lt;/p></description></item></channel></rss>