About the book :

« Data meets literature in this “enlightening” (The Wall Street Journal), “brilliant” (The Boston Globe), “Nate Silver-esque” (O, The Oprah Magazine) look at what the numbers have to say about our favorite authors and their masterpieces.

There’s a famous piece of writing advice—offered by Ernest Hemingway, Stephen King, and myriad writers in between—not to use -ly adverbs like “quickly” or “angrily.” It sounds like solid advice, but can we actually test it? If we were to count all the -ly adverbs these authors used in their careers, do they follow their own advice? What’s more, do great books in general—the classics and the bestsellers—share this trait?

In the age of big data we can answer questions like these in the blink of an eye. In Nabokov’s Favorite Word Is Mauve, a “literary detective story: fast-paced, thought-provoking, and intriguing” (Brian Christian, coauthor of Algorithms to Live By), statistician and journalist Ben Blatt explores the wealth of fun findings that can be discovered by using text and data analysis. He assembles a database of thousands of books and hundreds of millions of words, and then he asks the questions that have intrigued book lovers for generations: What are our favorite authors’ favorite words? Do men and women write differently? Which bestselling writer uses the most clichés? What makes a great opening sentence? And which writerly advice is worth following or ignoring?

All of Blatt’s investigations and experiments are original, conducted himself, and no math knowledge is needed to enjoy the book. On every page, there are new and eye-opening findings. By the end, you will have a newfound appreciation of your favorite authors and also come away with a fresh perspective on your own writing. “Blatt’s new book reveals surprising literary secrets” (Entertainment Weekly) and casts an x-ray through literature, allowing us to see both the patterns that hold it together and the brilliant flourishes that allow it to spring to life. »

Article du Times disponible ici.

Article du Guardian disponible ici.

« Nabokov’s Women: The Silent Sisterhood of Textual Nomads is the first book-length study to focus on Nabokov’s relationship with his heroines. Essays by distinguished Nabokov scholars explore the multilayered and nomadic nature of Nabokov’s women: their voice and voicelessness, their absentness, the paradigm of power and sacrifice within which they are situated, the paradox of their unattainability, their complex relationship with textual borders, the travel narrative, with the author himself.
By design, Nabokov’s woman is often assigned a short-term tourist visa with a firm expiration date. Her departure is facilitated by death or involuntary absence, which watermarks her into the male protagonist’s narrative, granting him an artistic release or a gift of self-understanding. When she leaves the stage, her portrait remains ambiguous. She can be powerfully enigmatic, but not self-actualized enough to be dynamic or, for even where the terms of her existence are deeply considered or her image beheld reverently, her recognition seems to be limited to the “Works Cited” register of the male narrator’s personal life. As a result, Nabokov’s texts often feature a nomadic woman who seems to live without a narratorial homeland, papers of her own, or storytelling privileges.
This volume explores the “residency status” of Nabokov’s silent nomads—his fleeting lovers, witches, muses, mermaids, and nymphets. As Nabokov scholars analyze the power dynamic of the writer’s narrative of male desire, they ponder—are these female characters directionless wanderers or covert operatives in the terrain of Nabokov’s text? Whereas each essay addresses a different aspect of Nabokov’s artistic relationship with the feminine, together they explore the politics of representation, authorization, and voicelessness. This collection offers new ways of reading and teaching Nabokov and is poised to appeal to a wide range of student and scholarly audiences. »

With contributions of Sofia Ahlberg, Marie Bouchet, Julian W. Connolly,
David Larmour, David Rampton, Matthew Roth, Susan Elizabeth Sweeney, Lara Delage-Toriel, Olga Voronina,
Alisa Zhulina.