本センターは、最新の統計モデリング技術（ベイズ統計・深層学習など）を用い、 実証的な言語研究（音声科学・認知科学・コーパス・言語理論）を推進します。
具体的には以下の6つの取り組みを進めます：
- 音声科学・認知科学に資する実験機器の利用による高精度な音声・認知処理センシングデータの収集手法の確立
- 言語発達にかかる幅広い年齢層の言語データの収集分析
- 既存の言語理論の実証的な研究の推進
- ベイズ統計・深層学習に基づく大量の言語資源の統計的分析手法及び機械学習による言語モデリング手法の確立
- 実験機器・統計分析用高性能計算サーバ・オープンデータの共用化
- 言語の科学的分析手法の普及と次世代言語研究者の育成のためのハンズオンセミナーの開催
The center will promote empirical language research (including phonetics, cognitive science, corpora, and linguistic theory) using state-of-the-art statistical modeling techniques such as Bayesian statistics and deep learning.
Specifically, we will advance the following six initiatives:
- Establishment of a methodology for collecting high-precision audio and cognitive processing sensing data, utilizing experimental equipment that contributes to speech science and cognitive science.
- Collection and analysis of language data spanning a wide range of ages, contributing to research on language development.
- Promotion of empirical research on existing language theories.
- Establishment of statistical analysis methods for large-scale language resources based on Bayesian statistics and deep learning, and development of language modeling techniques using machine learning.
- Shared use of experimental equipment, high-performance computing servers for statistical analysis, and open data.
- Organization of hands-on seminars to disseminate scientific analysis methods of language and to foster the next generation of language researchers.