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The standard 'vanilla' approach to locate the end of a sentence: [clarification needed] (a) If it is a period, it ends a sentence. (b) If the preceding token is in the hand-compiled list of abbreviations, then it does not end a sentence. (c) If the next token is capitalized, then it ends a sentence. This strategy gets about 95% of sentences ...
Paraphrase or paraphrasing in computational linguistics is the natural language processing task of detecting and generating paraphrases.Applications of paraphrasing are varied including information retrieval, question answering, text summarization, and plagiarism detection. [1]
The children in the experiments were able to determine the target word as a noun when it was in a sentence with a prosodic structure typical for a noun and as a verb when it was in a sentence with a prosodic structure typical for a verb. Children by the age of 4 use phrasal prosody to determine the syntactic structure of different sentences. [12]
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. Word2vec represents a word as a high-dimension vector of numbers which capture relationships between words.
Linguistic change detection refers to the ability to detect word-level changes across multiple presentations of the same sentence. Researchers have found that the amount of semantic overlap (i.e., relatedness) between the changed word and the new word influences the ease with which such a detection is made (Sturt, Sanford, Stewart, & Dawydiak ...
A new blood test was found to detect colon cancer with more than 80% accuracy — and to rule it out for 90% of healthy people. Doctors speak about how this could improve screening rates and outcomes.
A basic task in sentiment analysis is classifying the polarity of a given text at the document, sentence, or feature/aspect level—whether the expressed opinion in a document, a sentence or an entity feature/aspect is positive, negative, or neutral. Advanced, "beyond polarity" sentiment classification looks, for instance, at emotional states ...
In translating between languages, alignment is the process of matching words from the source sentence to words of the translated sentence. In the I love you example above, the second word love is aligned with the third word aime. Stacking soft row vectors together for je, t', and aime yields an alignment matrix: