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  2. Symbol grounding problem - Wikipedia

    en.wikipedia.org/wiki/Symbol_Grounding_Problem

    So the meaning of a word on a page is "ungrounded." Nor would looking it up in a dictionary help: If one tried to look up the meaning of a word one did not understand in a dictionary of a language one did not already understand, one would just cycle endlessly from one meaningless definition to another. One's search for meaning would be ungrounded.

  3. Automatic summarization - Wikipedia

    en.wikipedia.org/wiki/Automatic_summarization

    Abstractive summarization methods generate new text that did not exist in the original text. [12] This has been applied mainly for text. Abstractive methods build an internal semantic representation of the original content (often called a language model), and then use this representation to create a summary that is closer to what a human might express.

  4. PDF - Wikipedia

    en.wikipedia.org/wiki/PDF

    The standard security provided by PDF consists of two different methods and two different passwords: a user password, which encrypts the file and prevents opening, and an owner password, which specifies operations that should be restricted even when the document is decrypted, which can include modifying, printing, or copying text and graphics ...

  5. Generative grammar - Wikipedia

    en.wikipedia.org/wiki/Generative_grammar

    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 ...

  6. Sentence extraction - Wikipedia

    en.wikipedia.org/wiki/Sentence_extraction

    Sentence extraction is a technique used for automatic summarization of a text. In this shallow approach, statistical heuristics are used to identify the most salient sentences of a text. Sentence extraction is a low-cost approach compared to more knowledge-intensive deeper approaches which require additional knowledge bases such as ontologies ...

  7. Text segmentation - Wikipedia

    en.wikipedia.org/wiki/Text_segmentation

    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 .

  8. Pragmatics - Wikipedia

    en.wikipedia.org/wiki/Pragmatics

    The meaning of the sentence depends on an understanding of the context and the speaker's intent. As defined in linguistics, a sentence is an abstract entity: a string of words divorced from non-linguistic context, as opposed to an utterance, which is a concrete example of a speech act in a specific context. The more closely conscious subjects ...

  9. Parsing - Wikipedia

    en.wikipedia.org/wiki/Parsing

    These sentences are designed so that the most common interpretation of the sentence appears grammatically faulty, but upon further inspection, these sentences are grammatically sound. Garden-path sentences are difficult to parse because they contain a phrase or a word with more than one meaning, often their most typical meaning being a ...