A massively parallel corpus: the Bible in 100 languages.

Area of Science:

• Computational linguistics
• Digital humanities
• Religious studies

Background:

• The Bible is a widely translated text, offering potential for linguistic analysis.
• Large-scale parallel corpora are valuable resources for natural language processing (NLP) research.
• Existing corpora may not fully capture the linguistic diversity of religious texts.

Purpose of the Study:

• To construct a massively parallel corpus using 100 Bible translations.
• To explore the challenges in acquiring and processing multilingual religious texts.
• To analyze the statistical properties of the created corpus and compare English versions.

Main Methods:

• Corpus creation involving the collection and alignment of 100 Bible translations.
• Data preprocessing to handle variations in translation and formatting.
• Statistical analysis of corpus features and comparative linguistics methods.

Main Results:

• Successful creation of a large-scale parallel corpus from diverse Bible translations.
• Identification of common challenges in multilingual text processing.
• Statistical insights into linguistic patterns and a detailed comparison of English Bible corpora.

Conclusions:

• The Bible corpus is a valuable resource for NLP and linguistic studies.
• The methodology addresses challenges in creating specialized parallel corpora.
• Further research can leverage this corpus for cross-lingual and historical linguistic analysis.