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A program called PerfectIt is an "MS Word add-in that helps professionals to proofread faster". The producer states that a feature was added to the most recent version of their program (as of August 2009), "to convert two spaces at the end of a sentence into one", but they have "never had any requests to convert one space into two". [3]
An extension of word vectors for creating a dense vector representation of unstructured radiology reports has been proposed by Banerjee et al. [23] One of the biggest challenges with Word2vec is how to handle unknown or out-of-vocabulary (OOV) words and morphologically similar words. If the Word2vec model has not encountered a particular word ...
A sentence word involves invisible covert syntax and visible overt syntax. The invisible section or "covert" is the syntax that is removed in order to form a one word sentence. The visible section or "overt" is the syntax that still remains in a sentence word. [15]
Text normalization is the process of transforming text into a single canonical form that it might not have had before. Normalizing text before storing or processing it allows for separation of concerns, since input is guaranteed to be consistent before operations are performed on it.
An alternative direction is to aggregate word embeddings, such as those returned by Word2vec, into sentence embeddings. The most straightforward approach is to simply compute the average of word vectors, known as continuous bag-of-words (CBOW). [9] However, more elaborate solutions based on word vector quantization have also been proposed.
In English, verbification typically involves simple conversion of a non-verb to a verb. The verbs to verbify and to verb, the first by derivation with an affix and the second by zero derivation, are themselves products of verbification (see autological word), and, as might be guessed, the term to verb is often used more specifically, to refer only to verbification that does not involve a ...