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Heterogram (literature) A heterogram (from hetero-, meaning 'different', + -gram, meaning 'written') is a word, phrase, or sentence in which no letter of the alphabet occurs more than once. The terms isogram and nonpattern word have also been used to mean the same thing. [1] [2] [3] It is not clear who coined or popularized the term "heterogram ...
The word teetertotter (used in North American English) is longer at 12 letters, although it is usually spelled with a hyphen. The longest using only the middle row is shakalshas (10 letters). Nine-letter words include flagfalls; eight-letter words include galahads and alfalfas. Since the bottom row contains no vowels, no standard words can be ...
e. 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. Once trained, such a model can detect synonymous ...
Wordtune is an AI powered reading and writing companion capable of fixing grammatical errors, understanding context and meaning, suggesting paraphrases or alternative writing tones, and generating written text based on context. [1] [2] [3] It is developed by the Israeli AI company AI21 Labs. [4] [5] [6] [7]
A sentence diagramis a pictorial representation of the grammaticalstructure of a sentence. The term "sentence diagram" is used more when teachingwritten 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 sentences ...
Phrase structure rules break sentences down into their constituent parts. These constituents are often represented as tree structures (dendrograms). The tree for Chomsky's sentence can be rendered as follows: A constituent is any word or combination of words that is dominated by a single node. Thus each individual word is a constituent.
In practice however, BERT's sentence embedding with the [CLS] token achieves poor performance, often worse than simply averaging non-contextual word embeddings. SBERT later achieved superior sentence embedding performance [8] by fine tuning BERT's [CLS] token embeddings through the usage of a siamese neural network architecture on the SNLI dataset.
Syntactic parsing is the automatic analysis of syntactic structure of natural language, especially syntactic relations (in dependency grammar) and labelling spans of constituents (in constituency grammar ). [1] It is motivated by the problem of structural ambiguity in natural language: a sentence can be assigned multiple grammatical parses, so ...
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