Issue 3 |

Reader's Poll: Computational Linguistics

by on June 2, 2015

So, this issue, we asked our readers what they thought Computational Linguistics was — here are some of your responses:

  • The most awesome and underrated branch of linguistics that is NOT all about programming… And stuff. Haha.
  • The use of computational methods to analyse linguistic data (such as the recent application of Bayesian MCMC methods to produce a dated tree for the origin of Proto-Indo-European). Alternatively, computational approaches to language, such as the development of grammars for the parsing of human speech, such as Head-driven Phrase Structure Grammar (HPSG) or Lexical Functional Grammar (LFG).
  • The study of programming languages?
  • Computer programming in words instead of 0s and 1s?
  • The kind of text programmers use to create websites and software.
  • Study of the funky language computers use to speak! Or even motorised things like robots and Siri!
  • The thing that makes SIRI work.
  • Like Google translate and stuff?
  • I think computational linguistics has to do with programming languages, and the science of programming.
  • A field of linguistics that involves human-computer interaction?
  • I think it’s a very big field and can’t be defined by e.g. one process.
    One thing may be that in computational linguistics computer science and linguistics are joined together to one field. It’s the processing of language with machines. Some people in that area make robots speak and others develop programs for blind people so that the computer tells them what they wrote.
    Another thing may be that the computer will be able to recognise a language by a given text or that he can transform a picture of a text in a text document.
    There’s many more, though.

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  9. NLP is a subset of computational linguistics that deals with the interaction between computers and human language. It involves tasks such as text analysis, speech recognition, machine translation, sentiment analysis, and more.

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  10. NLP involves the development of algorithms and models that enable computers to understand, interpret, and generate human language. This includes tasks like machine translation, sentiment analysis, text summarization, and more.

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  11. Computational Linguistics is an interdisciplinary field that involves the study of natural language using computational methods. It focuses on developing algorithms, models, and software to enable computers to understand, process, and generate human language. This field sits at the intersection of linguistics, computer science, and artificial intelligence (AI).

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  12. Computational linguists work on developing search engines and algorithms that can retrieve relevant information from large sets of textual data.

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  13. Computational linguistics involves creating algorithms, models, and systems that can process human language. This includes tasks like speech recognition, language generation, machine translation, and sentiment analysis.

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  14. Computational linguistics is an interdisciplinary field that focuses on the interaction between computers and human language. It involves applying computational methods and techniques to analyze, process, and generate natural language.

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