Natural Language Processing (NLP)
A subfield of artificial intelligence that helps computers understand, interpret, and generate human language.
Natural Language Processing (NLP) is a field of artificial intelligence that enables computers to understand, interpret, and generate human language. It makes this possible by combining linguistics, computer science, and machine learning. It has been revolutionary since it allows us to interact with machines through both text and speech.
NLP is integral to various applications, including chatbots, machine translation, sentiment analysis, and voice assistants. It processes vast amounts of unstructured data from sources such as social media, emails, and documents, extracting meaningful insights and automating tasks that traditionally required human language comprehension.
🧠 Core techniques in NLP: #️⃣
- Tokenization: Divides text into individual units, such as words, subwords, or sentences, for easier analysis.
- Part-of-Speech (POS) Tagging: Assigns grammatical categories (e.g., noun, verb) to each word, aiding in syntactic understanding.
- Named Entity Recognition (NER): Identifies and classifies entities like names, organizations, locations, and dates within text.
- Lemmatization and Stemming: Reduces words to their base or root forms to standardize variations.
- Dependency Parsing: Analyzes grammatical structure to understand relationships between words in a sentence.
- Sentiment Analysis: Determines the emotional tone or subjective information behind a body of text.
- Topic Modeling: Discovers abstract topics or themes within a collection of documents.
- Language Modeling: Predicts the probability of sequences of words, which is essential for text generation and speech recognition tasks.
Advancements in deep learning and large language models (LLMs) have significantly enhanced NLP, enabling more accurate and context-aware language understanding. NLP and AI have contributed to the increase of translation quality (and speed), making it easier to achieve better quality localization.
