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  2. Question answering - Wikipedia

    en.wikipedia.org/wiki/Question_answering

    Providing hyperlinks to already answered, semantically related questions helps users to get answers earlier but is a challenging problem because semantic relatedness is not trivial. [18] The lab was motivated by the fact that 20% of mathematical queries in general-purpose search engines are expressed as well-formed questions. [ 19 ]

  3. Dual-route hypothesis to reading aloud - Wikipedia

    en.wikipedia.org/wiki/Dual-route_hypothesis_to...

    Reading is an area that has been extensively studied via the computational model system. The dual-route cascaded model (DRC) was developed to understand the dual-route to reading in humans. [14] Some commonalities between human reading and the DRC model are: [5] Frequently occurring words are read aloud faster than non-frequently occurring words.

  4. Semantic feature - Wikipedia

    en.wikipedia.org/wiki/Semantic_feature

    The term semantic feature is usually used interchangeably with the term semantic component. [9] Additionally, semantic features/semantic components are also often referred to as semantic properties. [10] The theory of componential analysis and semantic features is not the only approach to analyzing the semantic structure of words. An ...

  5. Componential analysis - Wikipedia

    en.wikipedia.org/wiki/Componential_analysis

    Componential analysis is a method typical of structural semantics which analyzes the components of a word's meaning. Thus, it reveals the culturally important features by which speakers of the language distinguish different words in a semantic field or domain (Ottenheimer, 2006, p. 20).

  6. Semantic similarity - Wikipedia

    en.wikipedia.org/wiki/Semantic_similarity

    A more direct way of visualizing the semantic similarity of two linguistic items can be seen with the Semantic Folding approach. In this approach a linguistic item such as a term or a text can be represented by generating a pixel for each of its active semantic features in e.g. a 128 x 128 grid. This allows for a direct visual comparison of the ...

  7. Semantic analysis (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Semantic_analysis_(machine...

    It generally does not involve prior semantic understanding of the documents. Semantic analysis strategies include: Metalanguages based on first-order logic, which can analyze the speech of humans. [1]: 93- Understanding the semantics of a text is symbol grounding: if language is grounded, it is equal to recognizing a machine-readable meaning ...

  8. Lexical analysis - Wikipedia

    en.wikipedia.org/wiki/Lexical_analysis

    The raw input, the 43 characters, must be explicitly split into the 9 tokens with a given space delimiter (i.e., matching the string " "or regular expression /\s{1}/). When a token class represents more than one possible lexeme, the lexer often saves enough information to reproduce the original lexeme, so that it can be used in semantic analysis.

  9. Receptive aphasia - Wikipedia

    en.wikipedia.org/wiki/Receptive_aphasia

    Anomia is consistently seen in aphasia, so many treatment techniques aim to help patients with word finding problems. One example of a semantic approach is referred to as semantic feature analyses. The process includes naming the target object shown in the picture and producing words that are semantically related to the target.