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Word Processing in Groups is a monograph in mathematics on the theory of automatic groups, a type of abstract algebra whose operations are defined by the behavior of finite automata. The book's authors are David B. A. Epstein , James W. Cannon , Derek F. Holt, Silvio V. F. Levy, Mike Paterson , and William Thurston .
A word processor program is an application program that provides word processing functions. The most basic of them include input, editing, formatting, and output of rich text . The functions of a word processor program fall somewhere between those of a simple text editor and a fully functioned desktop publishing program.
The idea of skip-gram is that the vector of a word should be close to the vector of each of its neighbors. The idea of CBOW is that the vector-sum of a word's neighbors should be close to the vector of the word. In the original publication, "closeness" is measured by softmax, but the framework allows other ways to measure closeness.
This process might negate the benefits of making a lump-sum investment. A lump-sum investment is made at a point in time. The price you pay for the investment(s) may be high or low. If you invest ...
Lump sum vs. annuity: 6 factors to consider when making your decision. Everyone’s financial situation is different, so it’s important to consider a few key factors — such as tax implications ...
One method of managing a cash transfer is to provide all the money at once in a lump sum, rather than in small regular amounts. Researchers at the Overseas Development Institute carried out a study on the effectiveness of the Swiss Agency for Development Cooperation's experiments with lump sum cash transfers and came out with the following six findings: [5]
Document processing is a field of research and a set of production processes aimed at making an analog document digital. Document processing does not simply aim to photograph or scan a document to obtain a digital image , but also to make it digitally intelligible.
Generative AI systems trained on words or word tokens include GPT-3, GPT-4, GPT-4o, LaMDA, LLaMA, BLOOM, Gemini and others (see List of large language models). They are capable of natural language processing, machine translation, and natural language generation and can be used as foundation models for other tasks. [62]