Camilla: A Latin Novella (Latin Edition) - Softcover

Ash, Rachel

 
9781736785980: Camilla: A Latin Novella (Latin Edition)

Synopsis

Camilla runs with the nymphs and hunts better than most men. She is nearly invincible in the battlefield, and it seems she cannot miss with either arrow or spear. Raised in the woods by her father, only her great beauty sets her apart from the men she fights beside.

Camilla’s fate, like her father’s, is bound in the quest for glory. She can remain home, companion to the goddess Diana, or seek to become part of a legend.

What will Camilla choose?

Based on the story of Camilla from Books VII and XI of Vergil’s Aeneid, this novella is written for intermediate readers of Latin.

This second edition includes the addition of macrons, an index of all word forms, and more so that readers can enjoy Camilla’s story on their own or in a class.

  • Level: Elementary Mid
  • Headords: 240
  • Word Forms: 449
  • Total Words: 1295

Storybase Books publishes books that help beginners learn Latin and Greek by reading. Our novellas use limited vocabulary to tell engaging stories that are accessible to novice- and intermediate-level readers. Meanings for many words are provided in footnotes, and a full index of all words, word forms, and phrases is included in each novella. Readers can thus read each novella on their own, with others, or with a class.

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About the Authors

Rachel Ash (MA, University of Florida) has taught Latin for over two decades in Oklahoma, Texas, Georgia, and online. She has also served on local, state, and national boards for modern and classical languages. She spends her evenings 3D printing, sewing costumes, and painting miniatures in the perfect geek laboratory, which she built with her husband. Her favorite Latin author is Pliny the Elder and she will fight you for his honor.

Maggie Xia (BS, Georgia Institute of Technology) lives in Atlanta, Georgia, and is currently pursuing a Master of Science in Analytics and a Master of Science in Quantitative and Computational Finance at her alma mater. She works as a part-time data scientist and enjoys drawing, leatherworking, PC gaming, and hanging out with her corgi in her free time.

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