| Insights from Russian second language readability classification: complexity-dependent training requirements, and feature evaluation of multiple categories R Reynolds Proceedings of the 11th Workshop on Innovative Use of NLP for Building …, 2016 | 57 | 2016 |
| Russian natural language processing for computer-assisted language learning: capturing the benefits of deep morphological analysis in real-life applications R Reynolds UiT Norges arktiske universitet, 2016 | 19 | 2016 |
| Construal vs. redundancy: Russian aspect in context LA Janda, RJ Reynolds Cognitive Linguistics 30 (3), 467-497, 2019 | 16 | 2019 |
| Russian natural language processing for computer-assisted language learning RJ Reynolds UiT The Arctic University of Norway Doctoral Dissertation, 2016 | 15 | 2016 |
| Who needs particles? A challenge to the classification of particles as a part of speech in Russian/Кому нужны частицы? Стоит ли определять частицы как отдельную часть речи в … A Endresen, LA Janda, R Reynolds, FM Tyers Russian Linguistics, 103-132, 2016 | 15 | 2016 |
| A VIEW of Russian: Visual Input Enhancement and adaptive feedback R Reynolds, E Schaf, D Meurers Proceedings of the third workshop on NLP for computer-assisted language …, 2014 | 11 | 2014 |
| Out of order?: Russian prefixes, complexity-based ordering and acyclicity R Reynolds University of Pennsylvania Working Papers in Linguistics 19 (1), 158-168, 2013 | 8 | 2013 |
| Network structure and inflection class predictability: Modeling the emergence of Marginal Detraction J Parker, R Reynolds, AD Sims Morphological diversity and linguistic cognition, 247-281, 2022 | 7 | 2022 |
| Aspectual opposition and rivalry in Russian are not discrete: new evidence from experimental data/Противопоставление и конкуренция видов в русском языке не дискретны: новые … LA Janda, A Endresen, RJ Reynolds Russian Linguistics, 249-271, 2019 | 6 | 2019 |
| Automatic word stress annotation of Russian unrestricted text R Reynolds, F Tyers Proceedings of the 20th Nordic Conference of Computational Linguistics …, 2015 | 6 | 2015 |
| A cognitive linguistic approach to analysis and correction of orthographic errors R Robert, J Laura, N Tore Russian Journal of Linguistics 26 (2), 391-408, 2022 | 4 | 2022 |
| A preliminary constraint grammar for Russian FM Tyers, R Reynolds Proceedings of the workshop on “Constraint Grammar—methods, tools and …, 2015 | 3 | 2015 |
| The constructional semantics of aspect in Russian LA Janda, RJ Reynolds Constructional semantics: Cognitive, functional and typological approaches, 41, 2018 | 1 | 2018 |
| A Bayesian Investigation of Factors Shaping the Network Structure of Inflection Class Systems JR Parker, R Reynolds, AD Sims Society for Computation in Linguistics, 2018 | 1 | 2018 |
| How learnable is Russian aspect? L Janda, HM Eckhoff, RJ Reynolds, O Lyashevskaya Time and Language, 39, 2016 | 1 | 2016 |
| Japanese readability assessment using machine learning T Ivie, R Reynolds EUROCALL 2023: CALL for all Languages, 133-138, 2023 | | 2023 |
| Persian FLAIR: grammatically intelligent web search for language learning E Bartholomeusz, R Reynolds EUROCALL 2023: CALL for all Languages, 316-321, 2023 | | 2023 |
| A machine-learning approach to Czech readability P Williams, R Reynolds EUROCALL 2023: CALL for all Languages, 159-164, 2023 | | 2023 |
| Cyclic feeding interactions between finite-state mal-rules: an algorithm for the optimal grouping and ordering of mal-rules R Reynolds, L Janda, T Nesset Nordlyd 46 (1), 219–229-219–229, 2022 | | 2022 |
| Russian NLP for language learners R Reynolds | | 2019 |
Laura JandaProfessor of Russian Linguistics, UiT The Arctic University of NorwayDirección de correo verificada de uit.no
