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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 classifier. [1] It has also been used for computer vision. [2]
Simple examples include semicolon insertion in Go, which requires looking back one token; concatenation of consecutive string literals in Python, [7] which requires holding one token in a buffer before emitting it (to see if the next token is another string literal); and the off-side rule in Python, which requires maintaining a count of indent ...
Readability is the ease with which a reader can understand a written text.The concept exists in both natural language and programming languages though in different forms. In natural language, the readability of text depends on its content (the complexity of its vocabulary and syntax) and its presentation (such as typographic aspects that affect legibility, like font size, line height ...
A text simplification system aims to change the first sentence into a group of simpler sentences, as seen just below the first sentence. Also contributing to the firmness in copper, the analyst noted, was a report by Chicago purchasing agents, which precedes the full purchasing agents report that is due out today and gives an indication of what ...
In linguistics and grammar, a sentence is a linguistic expression, such as the English example "The quick brown fox jumps over the lazy dog."In traditional grammar, it is typically defined as a string of words that expresses a complete thought, or as a unit consisting of a subject and predicate.
→ 1 + S + S (by rule 2. on the first S) → 1 + 1 + S (by rule 2. on the second S) → 1 + 1 + a (by rule 3. on the third S) Often, a strategy is followed that deterministically chooses the next nonterminal to rewrite: in a leftmost derivation, it is always the leftmost nonterminal; in a rightmost derivation, it is always the rightmost ...
Speech recognition is an interdisciplinary subfield of computer science and computational linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text by computers. It is also known as automatic speech recognition (ASR), computer speech recognition or speech-to-text (STT).
Imperative sentences are more intentional than exclamatory sentences and do require an audience, [note 1] as their aim is to get the person(s) being addressed either to do or to not do something. And although this function usually deals with the immediate temporal vicinity, its scope can be extended, i.e. you can order somebody to move out as ...