Gender Prediction for Authors of Russian Texts Using Regression And Classification Techniques

By T. Litvinova, P. Seredin, O. Litvinova, O. Zagorovskaya, A. Sboev, D. Gudovskih, I. Moloshnikov, R. Rybka. 2016

9 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Christian Hardmeier
2. Andy Way
3. Eva Vanmassenhove
4. Ergun Biçici
5. Liane Guillou
6. Marta Ruiz Costa-jussà
7. Karolina Stańczak
8. Nizar Habash

Citations in the corpus

• Getting Gender Right in Neural Machine Translation (2019, background): “Like-wise, the selection of the most informative features for gender classification remains a difficult task (Litvinova et al., 2016).”