Processing

/əˈprɑksɪmət strɪŋ ˈmætʃɪŋ/

noun — "finding near matches between strings."

/strɪŋ ˈmɛtrɪks/

noun — "quantitative measures of string similarity or difference."

String Metrics are computational methods used to quantify the similarity, difference, or distance between sequences of characters, commonly referred to as strings. They are central in fields such as natural language processing, text mining, computational biology, and information retrieval. String metrics enable algorithms to rank or cluster strings, detect errors, perform fuzzy matching, or compare sequences for alignment purposes.

/ˌdæməˌraʊ ˌlɛvə(n)ˈʃtaɪn/

noun — "an enhanced string difference metric allowing transpositions."

/ˌlɛvə(n)ˈʃtaɪn ˈdɪstəns/

noun — "a metric for measuring string differences."

/kwɪəri/

noun — "request for data or information."

Query is a formal request to a computing system, database, or service for specific information or data retrieval. In database systems, a query is a statement or expression used to specify criteria for selecting, filtering, updating, or manipulating data stored within tables, documents, or other structured formats. The term is used broadly in programming, networking, and information retrieval, encompassing operations from simple lookups to complex analytics and joins across multiple datasets.

/kjuː/

noun — "ordered collection for sequential processing."

Queue is an abstract data structure that stores a sequence of elements in a specific order for processing. The most common ordering principle is FIFO (First In, First Out), though variations like priority queues may alter the processing sequence. A queue ensures that elements are handled systematically, supporting predictable workflows and task management in computing systems.

/ˈsɪɡnəl ˈprɑːsɛsɪŋ/

noun … “Analyzing, modifying, and interpreting signals.”

Signal Processing is the field of engineering and computer science concerned with the analysis, transformation, and manipulation of signals to extract information, improve quality, or enable transmission and storage. Signals can be analog (continuous) or digital (discrete), representing phenomena such as sound, images, temperature, or electromagnetic waves.

/ˈpærəˌlɛlɪzəm/

noun … “Doing multiple computations at the same time.”

Parallelism is a computing model in which multiple computations or operations are executed simultaneously, using more than one processing resource. Its purpose is to reduce total execution time by dividing work into independent or partially independent units that can run at the same time. Parallelism is a core technique in modern computing, driven by the physical limits of single-core performance and the widespread availability of multicore processors, accelerators, and distributed systems.

/kənˈkʌrənsi/

noun … “Multiple computations overlapping in time.”

/ˈænəlɒɡ tuː ˈdɪdʒɪtl kənˈvɜːrtərz/

noun — "devices that transform continuous signals into digital data streams."