improve machine translations
Posted: Sun Feb 02, 2025 7:02 am
BERT's bidirectional nature allows you to read the sentence in both directions and relate the entire content, that is, obtain the context necessary to understand its meaning.
Transformers: This is a neural network that was initially used to
In the case of BERT, Transformers focus their attention on some words that make it difficult to understand the context, such as links or pronouns.
In this way, for example, they can understand references mexico mobile database to pronouns, direct and even indirect objects.
For example, “My sister's car is broken. “I should pick her up”
In this case, BERT understands that “her” refers to “My sister” because it focuses on the pronoun and looks for the relationship between both sentences.
These two elements together, bidirectionality and Transformers, give BERT the ability to very accurately understand the context of a sentence, understand longer sentences, and even relate two sentences to each other.
Transformers: This is a neural network that was initially used to
In the case of BERT, Transformers focus their attention on some words that make it difficult to understand the context, such as links or pronouns.
In this way, for example, they can understand references mexico mobile database to pronouns, direct and even indirect objects.
For example, “My sister's car is broken. “I should pick her up”
In this case, BERT understands that “her” refers to “My sister” because it focuses on the pronoun and looks for the relationship between both sentences.
These two elements together, bidirectionality and Transformers, give BERT the ability to very accurately understand the context of a sentence, understand longer sentences, and even relate two sentences to each other.