Dependency parsing

A Natural Language Processing (NLP) technique that identifies how words in a sentence relate to each other by establishing “dependency” links.

Dependency parsing shows how words in a sentence connect, like which word is the subject or object, to help systems translate complex sentences correctly. Each word is connected to another word that governs it, revealing the sentence’s syntactic structure and hierarchy. For example, in the sentence “She reads a book,” “reads” is the main verb governing “She” (subject) and “book” (object).

In localization and natural language processing, dependency parsing helps in accurately interpreting sentences across different languages by clarifying how words relate grammatically. This is essential for translating complex sentences where word order or relationships may differ between languages.

👀 What is dependency parsing for? #️⃣

  • Tools using dependency parsing can improve machine translation quality and accuracy.
  • They are useful for handling complex syntax and ambiguous sentences.
  • They enable better linguistic analysis in multilingual applications.
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