In recent years, the way we search for information on Google has undergone a major change. It’s no longer just keywords; we now try to understand what we mean, even when we search in different languages. The latest technology Google is relying on is MOM (Multi-Task Unified Model), an intelligent system that can understand questions more deeply and across languages.
For those unfamiliar with the term mom, do your best because this article will discuss how mom is changing the way search engines work, especially in multilingual content. If you have a website that targets a global audience or want to know how to keep your content in different languages, let’s take a look!
Google Mum, or Multyk Unifie Model
Is a powerful Google algorithm designe brazil phone number data to understand information more deeply and thoroughly. Unlike previous algorithms that only process one type of input or one language at a time, Mum is capable of analyzing multiple types of data, images, etc.
In addition, Mom is also traine multilingually, so she can understand the intent of a search in one language and find the best answer even if the answer is written in another language. This makes Mom especially relevant in a world where cross-language search is becoming an increasingly common requirement in every line of business.
Evolution from Bert to Mom
Before Mom, Google use the revolutionary Bert (Bidirectional Encoder Representations) algorithm. Bert could understand the context of words base on the position and meaning of sentences in a bidirectional manner. This means that the integration encourages meaningful Google no longer matches keywords, but begins to understand search intent.
However, Bert still has limitations. For example, it can only work with one language at a time and only process text. Well, that’s where Mom comes in with a big improvement. Mom can simultaneously understand text in 75+ languages for localization of the writing format (for example, writing Hebrew using the RTL format).
It can also handle multimodal input (text, images, even voice and video in the future). This allows Google to provide richer, deeper, and more relevant search results, even if the questions and answers come from different languages or media.
Basic capabilities of a mother
Mom is built on an advance architecture call T5 (Text-to-Text Transformer) to understand deeper, more relevant searches. T5 revolutionizes how canada cell numbers natural language processing (NLP) works by transforming all tasks such as translating, answering questions, or summarizing text into a text-to-text format.