自从谷歌宣布发布任何与BERT更新同等重要的消息以来，已经将近5年了。上一次发布这种量级的更新是在2016年，当时RankBrain算法被推出。
根据Google的官方声明，新的BERT更新将影响所有语言搜索结果的10%。声明说， BERT 是过去五年中最重大的飞跃，也是搜索史上最大的飞跃之一。
由于对最新的谷歌算法更新给予了如此多的重视——BERT，它很可能会和它的前辈企鹅、熊猫、蜂鸟和RankBrian一起出现在搜索引擎优化的历史书中。此次更新将影响谷歌搜索10个有机搜索结果中的1个，对搜索片段（又名特色片段）产生重大影响。
来自Transformers的双向编码器表示，代号BERT，是Google在人工智能创新方面的一项机器学习进步。BERT模型处理与句子中所有其他单词相关的单词，而不是按顺序逐个处理。这将进一步推动搜索查询的意图和上下文，并提供用户所需的结果。
关于BERT更新的声明是通过Google SearchLaison的官方Twitter句柄发布的。这条推文写道：“认识 BERT ，这是谷歌搜索更好地理解语言和改进搜索结果的新方法。它现在在美国被用于英语，帮助每十次搜索中就有一次。将来会有更多的国家和语言。”
原文：
It’s been close to five years since Google announced anything as significant as the BERT Update. The last time an update of this magnitude was launched was back in 2016 when the RankBrain algorithm was rolled out.
According to the official announcement of Google, the new BERT update will impact 10% of overall search results, across all languages. The statement says that BERT is the most significant leap forward in the past five years, and one of the biggest leaps ahead in the history of search.
With so much emphasis given to the latest Google Algorithm Update – BERT, it’s most likely going to the SEO history books along with its predecessors, Penguin, Panda, Hummingbird, and RankBrian. The update will affect 1 out of 10 organic search results on Google search, with a major impact on Search Snippets, aka Featured Snippets.
Bidirectional Encoder Representations from Transformers codenamed BERT, is a machine learning advancement made by Google involving it’s Artificial Intelligence innovation efforts. BERT model processes words in relation to all the other words in a sentence, rather than one-by-one in order. This gives more impetus to the intent and context of the search query and delivers results that the user seeks.
The announcement about the BERT update was made through the official Twitter handle of the Google SearchLaison. The tweet read, “Meet BERT, a new way for Google Search to better understand language and improve our search results. It’s now being used in the US in English, helping with one out of every ten searches. It will come to more counties and languages in the future.”
