CLHCFeb 1, 2023

User Study for Improving Tools for Bible Translation

arXiv:2302.00778v1h-index: 22
Originality Synthesis-oriented
AI Analysis

This work addresses bottlenecks in Bible translation for translation teams, but it is incremental as it focuses on identifying issues rather than implementing solutions.

The study investigated the Bible translation process to identify gaps where technology, including AI, could reduce translation time and improve quality, based on interviews with professionals from multiple organizations.

Technology has increasingly become an integral part of the Bible translation process. Over time, both the translation process and relevant technology have evolved greatly. More recently, the field of Natural Language Processing (NLP) has made great progress in solving some problems previously thought impenetrable. Through this study we endeavor to better understand and communicate about a segment of the current landscape of the Bible translation process as it relates to technology and identify pertinent issues. We conduct several interviews with individuals working in different levels of the Bible translation process from multiple organizations to identify gaps and bottlenecks where technology (including recent advances in AI) could potentially play a pivotal role in reducing translation time and improving overall quality.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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