Scaling API-first – The story of a global engineering organization
Visualizing Textual Data
1. “Visualizing Textual Data”
Drayton C. Benner
Founder/President, Miklal Software Solutions
PhD Candidate, Northwest Semitic Philology
University of Chicago
DraytonBenner@MiklalSoftware.com
2. Word alignment: uses
• Increases access to the source text (e.g. Hebrew and Greek Bible)
to readers of the target (e.g. English) text
• Commonly used as an input for statistical machine translation
• Also useful to scholars
• Analyzing literary dependence
• Translation technique
• Find usual patterns and deviations from usual patterns
• Reception history
• Ability to find pluses and minuses very easily
• Textual criticism
• Better identification of the source text underlying the translation
• Better macro-understanding of translation technique avoids many mistakes
• Input to algorithmic attempts to reconstruct tree structure of manuscripts
• Lexicography
• Philology
• Linguistics: historical, contact, corpus
• Representation of /ʕ/ and /ɣ/ by ע