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14 results for nlp

Applications

Chatbot

A chatbot is a software application designed to simulate human conversation through text or voice, ranging from simple rule-based systems to sophisticated AI assistants powered by large language models.

3 min readUpdated May 2026
Companies & Tools

Cohere

Cohere is a Canadian AI company specialising in enterprise large language models, offering Command, Embed, and Rerank model families alongside secure deployment infrastructure designed for regulated industries.

6 min readUpdated May 2026
Foundations

Embedding

An embedding is a dense numerical vector representation of data — such as text, images, or audio — that encodes semantic meaning in a continuous high-dimensional space, enabling machine learning models to measure similarity and relationships.

6 min readUpdated May 2026
Foundations

Large Language Models

Large language models (LLMs) are AI systems trained on vast corpora of text to predict and generate natural language. They underpin modern chatbots, code assistants, and generative AI applications.

5 min readUpdated May 2026
Applications

Machine Translation

Machine translation is the automated conversion of text or speech from one natural language into another using rule-based, statistical, or neural systems.

6 min readUpdated May 2026
Applications

Named Entity Recognition

Named entity recognition (NER) is a natural language processing task that identifies and classifies named entities in text — such as people, organisations, locations, and dates — into predefined categories.

6 min readUpdated May 2026
Foundations

Natural Language Processing

Natural language processing (NLP) is the subfield of AI concerned with enabling computers to understand, interpret, manipulate, and generate human language in both text and speech form.

3 min readUpdated May 2026
Applications

Question Answering

Question answering is the natural language processing task of producing accurate answers to questions posed in natural language, often using information retrieval, reading comprehension, or large language models.

5 min readUpdated May 2026
Foundations

Recurrent Neural Network

A recurrent neural network (RNN) is a class of neural network designed for sequential data, where connections between nodes form directed cycles allowing information to persist across time steps.

6 min readUpdated May 2026
Applications

Semantic Search

Semantic search is a search paradigm that retrieves results based on the meaning and intent of a query rather than exact keyword matches, using vector embeddings to measure conceptual similarity between text.

6 min readUpdated May 2026
Applications

Sentiment Analysis

Sentiment analysis is a natural language processing technique that automatically identifies and classifies the emotional tone of text as positive, negative, or neutral, and is widely used in customer feedback, social media monitoring, and financial analysis.

6 min readUpdated May 2026
Applications

Speech Recognition

Speech recognition, or automatic speech recognition (ASR), is the technology that enables computers to identify and transcribe spoken language into text using acoustic models, language models, and deep learning architectures.

6 min readUpdated May 2026
Applications

Text Summarisation

Text summarisation is the natural language processing task of producing a shorter version of a document that preserves its key information, using extractive or abstractive techniques.

4 min readUpdated May 2026
Foundations

Tokenisation

Tokenisation is the process of breaking text into discrete units called tokens — which may represent words, subwords, characters, or symbols — that serve as the fundamental input units for language models and other natural language processing systems.

6 min readUpdated May 2026