problems in computational linguistics


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PDF Computational linguistics : Issues and solutions

What this paper will really treat then is some problems of computational linguistics and not very many solutions within theoretical linguistics and 

PDF TEACHING COMPUTATIONAL LINGUISTICS: CHALLENGES AND

So Computational Linguistics consists of the use of linguistic theories and computational techniques to tackle problems concerning natural language processing 

  • What are examples of computational linguistics?

    Computational linguistics is used in tools such as instant machine translation, speech recognition systems, parsers, text-to-speech synthesizers, interactive voice response systems, search engines, text editors and language instruction materials.

  • What are the problems of linguistic?

    Linguistic problems and complexities can be classed as lexical, syntactic or semantic depending on their context.
    Lexical problems involve the interpretation of particular words or phrases rather than entire classes.
    These problems exist independent of context although they are only evident in it.

  • Why is computational linguistics hard?

    Computational linguistics is more complicated than asking your computer to translate a language, because the computers themselves don't really understand language like humans do.
    It's all just ones and zeros to them.
    Getting a computer to work with something as complex as language requires a lot of steps.

  • Computational linguistics focuses on the system or concept that machines can be computed to understand, learn, or output languages, while natural language processing is the application of processing language that enables a computer program to understand human language as it is written or spoken.

The proposal Algorithms for Linguistic Processing focuses on two crucial problem areas in computational linguistics: problems of processing efficiency and ambiguity.
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