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By contrast, generative theories generally provide performance-based explanations for the oddness of center embedding sentences like one in (2). According to such explanations, the grammar of English could in principle generate such sentences, but doing so in practice is so taxing on working memory that the sentence ends up being unparsable ...
Beginning with the sentence symbol S, and applying the phrase structure rules successively, finally applying replacement rules to substitute actual words for the abstract symbols, it is possible to generate many proper sentences of English (or whichever language the rules are specified for).
Like current generative theories, it treated grammar as a system of formal rules that generate all and only grammatical sentences of a given language. What was distinctive about transformational grammar was that it posited transformation rules that mapped a sentence's deep structure to its pronounced form.
From there on, Chomsky tried to build a grammar of Hebrew. Such a grammar would generate the phonetic or sound forms of sentences. To this end, he organized Harris's methods in a different way. [note 18] To describe sentence forms and structures, he came up with a set of recursive rules. These are rules that refer back to themselves.
BERT pioneered an approach involving the use of a dedicated [CLS] token prepended to the beginning of each sentence inputted into the model; the final hidden state vector of this token encodes information about the sentence and can be fine-tuned for use in sentence classification tasks. In practice however, BERT's sentence embedding with the ...
The language equality question (do two given context-free grammars generate the same language?) is undecidable. Context-free grammars arise in linguistics where they are used to describe the structure of sentences and words in a natural language, and they were invented by the linguist Noam Chomsky for this purpose.
Generate a formal grammar that describes a language's syntax. Sentence breaking (also known as "sentence boundary disambiguation") Given a chunk of text, find the sentence boundaries. Sentence boundaries are often marked by periods or other punctuation marks, but these same characters can serve other purposes (e.g., marking abbreviations). Parsing
S for sentence, the top-level structure in this example. NP for noun phrase. The first (leftmost) NP, a single noun John, serves as the subject of the sentence. The second one is the object of the sentence. VP for verb phrase, which serves as the predicate. V for verb; in this case, it's the transitive verb hit.