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“Visualizing Textual Data” Drayton C. Benner Founder/President, Miklal Software Solutions PhD Candidate, Northwest Semitic Philology University of Chicago [email protected]

Visualizing Textual Data

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Page 1: Visualizing Textual Data

“Visualizing Textual Data”

Drayton C. BennerFounder/President, Miklal Software SolutionsPhD Candidate, Northwest Semitic Philology

University of [email protected]

Page 2: Visualizing Textual Data

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

Page 3: Visualizing Textual Data

Past visualizations of aligned texts

Source: Logos Bible Software

Page 4: Visualizing Textual Data

Past visualizations of aligned texts

Source: BibleWorks

Page 5: Visualizing Textual Data

Past visualizations of aligned texts

Source: esvbible.org

Page 6: Visualizing Textual Data

Past visualizations by computational linguists

Lines (from Smith and Jahr 2000)Alignment matrix (from Germann 2007)

Page 7: Visualizing Textual Data

Past visualizations by computational linguists

Colors (from Merkel et al 2003)

Mouseover (from Germann 2008)

Page 8: Visualizing Textual Data

Visualization

Language helps

Colors

Blank rows

Lines