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In natural language processing, a word embedding is a representation of a word. The embedding is used in text analysis . Typically, the representation is a real-valued vector that encodes the meaning of the word in such a way that the words that are closer in the vector space are expected to be similar in meaning. [ 1 ]
For example, 'palatalized voice' indicates palatalization of all segments of speech spanned by the braces. Several of these symbols may be profitably used as part of single speech sounds, in addition to indicating voice qualities across spans of speech. For example, [ↀ͡r̪͆ː] is blowing a raspberry.
The term "PowerPoint karaoke" is also sometimes derisively used to refer to presenters who face the screen where their PowerPoint slides are being projected and proceed to read them, boring and effectively ignoring their audience. Spanish conceptual artist Rubén Grilo used "PowerPoint Karaoke" as a title for a show at MARCO in June 2011.
The study of communication disorders has a history that can be traced all the way back to the ancient Greeks.Modern clinical linguistics, however, largely has its roots in the twentieth century, with the term ‘clinical linguistics’ gaining wider currency in the 1970s, with it being used as the title of a book by prominent linguist David Crystal in 1981. [2]
In linguistics, center embedding is the process of embedding a phrase in the middle of another phrase of the same type. This often leads to difficulty with parsing which would be difficult to explain on grammatical grounds alone. The most frequently used example involves embedding a relative clause inside another one as in:
Embedding vectors created using the Word2vec algorithm have some advantages compared to earlier algorithms [1] such as those using n-grams and latent semantic analysis. GloVe was developed by a team at Stanford specifically as a competitor, and the original paper noted multiple improvements of GloVe over word2vec. [ 9 ]
T5 (Text-to-Text Transfer Transformer) is a series of large language models developed by Google AI introduced in 2019. [ 1 ] [ 2 ] Like the original Transformer model, [ 3 ] T5 models are encoder-decoder Transformers , where the encoder processes the input text, and the decoder generates the output text.
A disfluence or nonfluence is a non-pathological hesitance when speaking, the use of fillers (“like” or “uh”), or the repetition of a word or phrase. This needs to be distinguished from a fluency disorder like stuttering with an interruption of fluency of speech, accompanied by "excessive tension, speaking avoidance, struggle behaviors, and secondary mannerism".