Glossary

Searchable terminology from accessibility, web standards, and related fields.

44 results found in natural language processing.

N-gram (Bigram, Trigram, Unigram)
A contiguous sequence of n items (typically words) from a text, used in language modeling to predict the probability of a word based on its predecessors. A unigram considers single words in isolation,…
Named Entity Recognition (NER)
A natural language processing technique that identifies and classifies named entities in text into predefined categories such as person names, locations, organizations, quantities, and domain-specific…
Natural Language Generation (NLG, Text Generation)
A subfield of artificial intelligence and computational linguistics focused on automatically producing human-readable text from structured data or other non-linguistic representations. In accessibilit…
Natural Language Processing (NLP, Computational Linguistics)
A branch of artificial intelligence that enables computers to understand, interpret, and generate human language. In accessibility, NLP powers voice-based assistive technologies, automatic captioning,…
Polysemy (Polysemous Words)
The property of a word having multiple related meanings or senses. For example, the word "bank" can refer to a financial institution or the edge of a river. Polysemy creates particular challenges for …
Prompt Chaining (Chained Prompting, Sequential Prompting)
A technique for interacting with large language models where multiple prompts are issued in sequence, with each prompt building on the output of the previous one to achieve a more refined or accurate …
SARI (System output Against References and against the Input sentence)
An automatic evaluation metric for text simplification systems that compares a system’s output against both the original input sentence and a set of human-written simplification references, rewarding …
Semantic distance (Semantic similarity, Word embedding distance)
A computational measure of how different two words are in meaning, typically derived from word embedding models like word2vec that represent words as vectors in a high-dimensional space. In caption ev…
Sentiment Analysis (Opinion Mining)
A natural language processing technique that identifies and extracts subjective information from text, classifying it as positive, negative, or neutral. In accessibility research, sentiment analysis c…
Sign Language Generation (Sign Language Synthesis, Signing Generation)
The automatic production of sign language content, typically through computer-generated animations of signing avatars or video synthesis. Sign language generation systems convert text or symbolic repr…
Speech Repair (Self-Correction, Speech Self-Repair, Command Correction)
Speech repair is the process of correcting or modifying a spoken utterance after it has been produced, either within the same turn or in a subsequent one. In natural conversation, speakers commonly in…
Spoken Dialog System (SDS, Voice Dialog System, Conversational AI)
A computer system that uses speech as both input and output to conduct goal-oriented conversations with users. Unlike simple voice command systems, spoken dialog systems can handle multi-turn exchange…
Text Simplification (Automatic Text Simplification, Content Simplification)
The process of transforming complex written text into simpler, more understandable versions while preserving the essential meaning. Text simplification can be performed manually by content authors fol…
Topic Modeling (LDA, Latent Dirichlet Allocation)
A machine learning technique that automatically discovers abstract themes or topics within a collection of documents by analyzing patterns of word co-occurrence. Latent Dirichlet Allocation (LDA) is t…
Topic Segmentation (Text Segmentation, Topicalisation)
A natural language processing technique that automatically divides a document into coherent sections based on changes in topic or subject matter. Topic segmentation algorithms detect boundaries where …
Toxicity detection (Content toxicity scoring, Toxic speech detection)
An NLP-based content moderation technique that assigns scores to text indicating the likelihood it is rude, disrespectful, or likely to make someone leave a conversation. Research has shown that toxic…
Trigram (3-gram)
A sequence of three consecutive words used in statistical language modeling for word prediction. Trigram models predict the next word based on the two preceding words, capturing more context than simp…
Visual Dialogue (Visual Dialog, VisDial)
Visual dialogue is an AI task that involves holding a multi-turn natural language conversation about visual content such as an image or video frame. Unlike single-turn visual question answering (VQA),…
Word Embedding (Word Vector, Distributed Word Representation)
A technique in natural language processing that represents words as numerical vectors in a multi-dimensional space, where words with similar meanings are positioned closer together. Word embeddings en…
Word Frequency (Lexical Frequency)
A measure of how often a word occurs in a given language or text corpus. High-frequency words like common function words are encountered regularly and recognized quickly, while low-frequency words are…