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Why Auto-Punctuation Is Crucial to Natural Language Processing?

Natural Language Processing (NLP) is a field of Artificial Intelligence (AI) that enables computers to understand and process human languages.

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Why Auto-Punctuation Is Crucial to Natural Language Processing?

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  1. Why Auto-Punctuation Is Crucial to Natural Language Processing?

  2. A practical solution could include breaking a sentence into simpler segments and extracting meaning from it. Punctuations aid NLP systems like speech engines to extract the meaning of the given text through text categorization, syntactic parsing and Part-Of-Speech tagging. The 6 major punctuations are inevitable for improving the parsing of a language including, • Full-stop (.) • Comma (,) • Question mark (?) • Exclamation mark (!) • Semi-colon (;) • Colon (:)

  3. Here’s a sentence for a speech engine to decipher. “London was founded by the Romans, who named it Londinium.” How does the human brain understand this sentence? The sentence is split into the subject, “London“ and predicate, “was founded by the Roman, who named it Londinium”. The predicate is further split into object, “Romans” and clause, “who named it Londinium”. The different parts of speech marked by 6 major punctuations to appropriately highlight the contextual meaning of the given text for better understanding.

  4. Flashscribe can transcribe your speech and our app has auto-punctuation feature, which makes huge difference when it comes to improving the NLP capabilities of a speech engine and transcribing more accurately.

  5. Source : Flashscribe AI www.flashscribe.ai Flashscribe is an AI-driven transcription app for businesses across diverse industries. It's ultra-fast Speech Recognition technology supports speech-to-text in several Indian languages with advanced features like intent identification and speech analytics. Read more:https://www.flashscribe.ai/blog/why-auto-punctuation-is-crucial-to-natural-language-processing/

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