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computational linguistics [87c96564]

Tags: languages/linguistics

  • two possible motivations for research

    1. technological: best performance on some applied task
    2. cognitive: single model with human-like performance across a broad range of abilities, plus biological/cognitive plausibility

  • what does success look like?

    • most nlu takes a behavioral approach, a modelis assumed to learn/understand iff

      • can perform the task
      • on data that wasn't used to build/train it
      • (possibly) makes errors and uses resources similarily to humans
    • note that this sets aside the question of "what is understanding", "what/when does conciousness emerge", etc

  • what is the background for nlu need?

    • two main questions:

      1. how much does a system need?
      2. how much can it learn from data, how much built-in knowledge does it need?

    • one big trend is that learning from the data is actually better than building explicit knowledge

      Every time I fire a linguist, the performance of the speech recongizer goes up - apocryphal, Fred Jelinek, 1988

    • relates to are experts real?