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Deep processing involves semantic processing, which happens when we encode the meaning of a word and relate it to similar words. Shallow processing involves structural and phonemic recognition, the processing of sentence and word structure, i.e. first-order logic , and their associated sounds.
A lump sum is a single payment of money, as opposed to a series of payments made over time (such as an annuity). [1] [2] [3] [4]The United States Department of Housing and Urban Development distinguishes between "price analysis" and "cost analysis" by whether the decision maker compares lump sum amounts, or subjects contract prices to an itemized cost breakdown.
Traditional pensions, known as Defined benefit pension plans, provides employees with a guaranteed paycheck (or lump sum) in retirement. [25] The benefit is usually "defined" by a formula based on the employee's earnings history, tenure of service and age, and not depending on investment returns.
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.
It is used in natural language processing and information retrieval (IR). It disregards word order (and thus most of syntax or grammar) but captures multiplicity. The bag-of-words model is commonly used in methods of document classification where, for example, the (frequency of) occurrence of each word is used as a feature for training a ...
A lump sum could be $10,000, $50,000, $200,000 or any amount that is large given your situation. You might find yourself with a lump sum for any number of reasons. Perhaps you received an inheritance.
Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus.
New word recognition capabilities have made computer-based learning programs more effective and reliable. [8] Improved technology has enabled eye-tracking, which monitors individuals' saccadic eye movements while they read. This has furthered understanding of how certain patterns of eye movement increases word recognition and processing.
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