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Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
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Localizing Syntactic Composition with Left-Corner Recurrent Neural Network Grammars.

Yushi Sugimoto1, Ryo Yoshida1, Hyeonjeong Jeong2

  • 1Graduate School of Arts and Sciences, University of Tokyo, Tokyo, Japan.

Neurobiology of Language (Cambridge, Mass.)
|April 22, 2024
PubMed
Summary
This summary is machine-generated.

Hierarchical models like recurrent neural network grammars (RNNGs) better explain brain activity than sequential models. Left-corner RNNGs, a novel parsing strategy, showed superior performance in specific brain regions for Japanese language processing.

Keywords:
fMRIleft-corner parsingnaturalistic readingrecurrent neural network grammarsurprisalsyntax

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Area of Science:

  • Computational neurolinguistics
  • Neuroscience
  • Psycholinguistics

Background:

  • Hierarchical models (RNNGs) explain brain activity better than sequential models (LSTMs).
  • Top-down parsing in RNNGs is suboptimal for head-final languages.
  • Left-corner parsing is proposed as a more psychologically plausible strategy.

Purpose of the Study:

  • Investigate if hierarchical models explain brain activity better than sequential models.
  • Determine the neurobiological plausibility of different parsing strategies (top-down vs. left-corner).
  • Analyze brain activity during naturalistic reading of a head-final language (Japanese).

Main Methods:

  • Developed a novel fMRI corpus for naturalistic Japanese newspaper article reading.
  • Compared brain activity patterns between LSTMs, top-down RNNGs, and left-corner RNNGs.
  • Utilized functional Magnetic Resonance Imaging (fMRI) to measure brain responses.

Main Results:

  • Left-corner RNNGs outperformed LSTMs and top-down RNNGs in explaining brain activity.
  • Superior performance of left-corner RNNGs was observed in the left inferior frontal and temporal-parietal regions.
  • These findings suggest specific brain regions involved in left-corner syntactic composition.

Conclusions:

  • Left-corner RNNGs offer a more neurobiologically plausible model for syntactic processing in head-final languages.
  • The left inferior frontal and temporal-parietal regions may play a key role in left-corner parsing.
  • This study advances our understanding of the neural basis of language comprehension.