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A high-frequency sense list.

Lei Liu1, Tongxi Gong2, Jianjun Shi2

  • 1English Department, School of International Studies, Zhengzhou University, Zhengzhou, China.

Frontiers in Psychology
|August 26, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a novel High-frequency Sense List, created by semantically annotating large English corpora. This list guides foreign language learners to focus on the most frequent word meanings for effective vocabulary acquisition.

Keywords:
BERTlarge language modelsemantic annotationsense frequencyword list

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Area of Science:

  • Corpus Linguistics
  • Natural Language Processing
  • Second Language Acquisition

Background:

  • Existing high-frequency word lists for English learners overlook word meaning.
  • Learners struggle to prioritize which word senses to study first.
  • This gap hinders efficient vocabulary acquisition for foreign language learners.

Purpose of the Study:

  • To develop a semantically informed high-frequency word list for English language learners.
  • To address the limitations of traditional word lists by incorporating word meaning frequency.
  • To create a more effective tool for prioritizing vocabulary study.

Main Methods:

  • Semantic annotation of the Corpus of Contemporary American English (COCA) and the British National Corpus (BNC) using a BERT model.
  • Calculation of semantic frequency for different word senses.
  • Filtering and creation of a High-frequency Sense List comprising 5000 senses.

Main Results:

  • The developed High-frequency Sense List demonstrates stable coverage across different corpora.
  • It accurately identifies high-frequency vocabulary items, offering comparable coverage to existing lists with fewer entries.
  • The list clearly indicates the most frequent senses, providing a focused learning pathway for beginners.

Conclusions:

  • This study pioneers the semantic annotation of large corpora for vocabulary list creation.
  • The High-frequency Sense List offers a more effective and semantically grounded approach to English vocabulary learning.
  • The findings provide a valuable resource for both language learners and educators.