Robert Joshua Reynolds

We investigate Russian second language readability assessment using a machine-learning approach with a range of lexical, morphological, syntactic, and discourse features and show that morphological features are collectively the most informative. Expand

We explore the challenges and opportunities which arise in developing automatic visual input enhancement activities for Russian with a focus on target selection and adaptive feedback. Expand

We evaluate the effectiveness of finitestate tools we developed for automatically annotating word stress in Russian unrestricted text. Expand

This paper presents preliminary work on a constraint grammar based disambiguator for Russian. Expand

In 1985, Zwicky argued that ‘particle’ is a pretheoretical notion that should be eliminated from linguistic analysis. Expand

We propose a psycholinguistic approach to affix ordering now known as Complexity-Based Ordering (CBO), which claims that affix order is determined by the parsability of the affixes, i.e. grammatical requirements of particular affix. Expand