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A sentence diagram is a pictorial representation of the grammatical structure of a sentence. The term "sentence diagram" is used more when teaching written language, where sentences are diagrammed. The model shows the relations between words and the nature of sentence structure and can be used as a tool to help recognize which potential ...
Line continuation is a feature of some languages where a newline is normally a statement terminator. Most often, ending a line with a backslash (immediately followed by a newline) results in the line being continued – the following line is joined to the prior line. This is generally done in the lexer: The backslash and newline are discarded ...
The more mappings there are that are not adjacent in the reference and the candidate sentence, the higher the penalty will be. In order to compute this penalty, unigrams are grouped into the fewest possible chunks, where a chunk is defined as a set of unigrams that are adjacent in the hypothesis and in the reference. The longer the adjacent ...
In this context, parsing refers to the way that human beings analyze a sentence or phrase (in spoken language or text) "in terms of grammatical constituents, identifying the parts of speech, syntactic relations, etc." [1] This term is especially common when discussing which linguistic cues help speakers interpret garden-path sentences.
Assisted aspects of writing include: lexical, syntactic (syntactic and semantic roles of a word's frame), lexical semantic (context/collocation-influenced word choice and user-intention-driven synonym choice) and idiomatic expression transfer, etc. Different types of foreign language writing aids include automated proofreading applications ...
The word2vec algorithm estimates these representations by modeling text in a large corpus. Once trained, such a model can detect synonymous words or suggest additional words for a partial sentence. Word2vec was developed by Tomáš Mikolov and colleagues at Google and published in 2013.
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Text segmentation is the process of dividing written text into meaningful units, such as words, sentences, or topics. The term applies both to mental processes used by humans when reading text, and to artificial processes implemented in computers, which are the subject of natural language processing .