SEO world must be familiar with the term Google BERT and its updates. BERT stands for Bidirectional Encoder Representations from Transformers. It is an algorithm based on Natural Language Processing which helps users to have a precise answer from Google. The algorithm was first introduced to search in October for English queries. As English is a universal language, Google updated its BERT in October to make queries available in English language in the US. If you keep yourself updated then you must be aware of that Google has recently updated its BERT algorithm again but this time Google expanded BERT for 70 languages internationally. Do you want to know all the languages it is available in?
Well folks, I will be explaining each and everything about Google BERT and its updates. Just be with us and read the article till the end.
Google updated BERT to support 70 international languages
Recently, Google announced on Twitter that its BERT algorithm is now rolling out worldwide in 70 international languages. It will enable Google to better understand search queries. Earlier, BERT was only applied to featured snippets in language other than English. Why Google updated BERT again? As you all know that BERT is designed to better understand the intent behind a user’s query and Google said, “10% of all searchers are impacted by the BERT update.” And now the algorithm is getting a worldwide roll out, Google search in those 70+ other languages might benefit from BERT’s language processing capabilities.
As per Google statement, search queries are getting more and more similar to real, human communication, and they are getting longer and longer. Already, around 70% of search queries are assigned to the long-tail sector. The users want to have a precise answer from Google to now whole question sets.
Now look at the list of International languages which BERT has rolled out.
These are Afrikaans, Albanian, Amharic, Arabic, Armenian, Azeri, Basque, Belarusian, Bulgarian, Catalan, Chinese (Simplified & Taiwan), Croatian, Czech, Danish, Dutch, English, Estonian, Farsi, Finnish, French, Galician, Georgian, German, Greek, Gujarati, Hebrew, Hindi, Hungarian, Icelandic, Indonesian, Italian, Japanese, Javanese, Kannada, Kazakh, Khmer, Korean, Kurdish, Kyrgyz, Lao, Latvian, Lithuanian, Macedonian Malay (Brunei Darussalam & Malaysia), Malayalam, Maltese, Marathi, Mongolian, Nepali, Norwegian, Polish, Portuguese, Punjabi, Romanian, Russian, Serbian, Sinhalese, Slovak, Slovenian, Spanish Swahili, Swedish, Tagalog, Tajik, Tamil, Telugu, Thai, Turkish, Ukrainian, Urdu, Uzbek & Vietnamese.
In case if you’re wondering how Google BERT works, then read below
As you read above, based on Natural Language Processing (NLP), BERT allows the language model to learn word context based on surrounding words rather than just the word that instantly follows it. Google calls BERT, “deeply bidirectional” because the contextual representations of words start “from the very bottom of a deep neural work.”
Moreover, it trains language models on the ground of the entire set of words in a sequence or query (bidirectional training) rather than traditional way of training like sequence of words (left-to-right or right-to-left). For example, in the phrase, ‘nine to five’ and ‘a quarter to five,’ the word ‘to’ has two different meanings, which might be clear to human but not to search engines. That’s why BERT is designed to determine such nuances to provide more authentic results.
With the update, will BERT affect international SERPs or not?
Every update brings positive and negative impacts with it. Let’s examine it via BERT update. Earlier, Google noted that BERT affected 10% of search queries for the English language rollout in the United States. It’s possible that it might similarly affect search queries globally.
However, BERT was introduced to enhance how Google understands search queries. So if Google understands the query better then it means Google is able to direct organic search traffic to the most appropriate web pages. Therefore, if there is any effect on international search it could be that the quality of search engine traffic must improve. Thereby, you can see the improvement in in international featured snippets in the languages where featured snippets are available.
In this final note, I just want to say that the update in BERT is good for both webmasters and SEOs as well as for search users. One thing SEOs must bear in that to rank your website better, you need to write your content and build your website not just for algorithms, but for people and potential user or visitors who will visit your site.
Make sure you create contents that will satisfy your users’ intent. For more updates get in touch with us.