Sowmya Vajjala

Publications
Influence

On Improving the Accuracy of Readability Classification using Insights from Second Language Acquisition

Sowmya Vajjala, Walt Detmar Meurers
Computer Science
BEA@NAACL-HLT
7 June 2012

We investigate the problem of readability assessment using a range of lexical and syntactic measures originally designed to measure language development in the production of second language learners and study their impact on predicting the grade level of texts. Expand

Readability Classification for German using Lexical, Syntactic, and Morphological Features

J. Hancke, Sowmya Vajjala, Walt Detmar Meurers
Computer Science
COLING
1 December 2012

We investigate the problem of reading level assessment for German texts on a newly compiled corpus of freely available easy and difficult articles, targeted at adult and child readers respectively. Expand

Universal Dependencies 2.1

Joakim Nivre, Mitchell Abrams, +318 authors Hanzhi Zhu
Computer Science, Political Science
13 March 2017

Universal Dependencies is a project that seeks to develop cross-linguistically consistent treebank annotation for many languages, with the goal of facilitating multilingual parser development, cross-language learning, and parsing research from a language typology perspective. Expand

Automatic CEFR Level Prediction for Estonian Learner Text

Sowmya Vajjala, Kaidi Lėo
Computer Science
11 November 2014

This paper reports on approaches for automatically predicting a learner’s language proficiency in Estonian according to the European CEFR scale. Expand

Experiments with Universal CEFR Classification

Sowmya Vajjala, Taraka Rama
Computer Science
BEA@NAACL-HLT
18 April 2018

In this paper, we explore universal CEFR classification using domain-specific and domain-agnostic, theory-guided as well as data-driven features. Expand

Automated Assessment of Non-Native Learner Essays: Investigating the Role of Linguistic Features

Sowmya Vajjala
Computer Science
International Journal of Artificial Intelligence…
2 December 2016

We explore the role of various linguistic features in automatic essay scoring using two publicly available datasets of non-native English essays written in test taking scenarios. Expand

Combining Shallow and Linguistically Motivated Features in Native Language Identification

Serhiy Bykh, Sowmya Vajjala, J. Krivanek, Walt Detmar Meurers
Computer Science
BEA@NAACL-HLT
1 June 2013

We explore a range of features and ensembles for the task of Native Language Identification as part of the NLI Shared Task (Tetreault et al., 2013). Expand

Analyzing Text Complexity and Text Simplification: Connecting Linguistics, Processing and Educational Applications

Sowmya Vajjala
Computer Science
3 August 2015

Readability assessment for text simplification: From analysing documents to identifying sentential simplifications

Sowmya Vajjala, Walt Detmar Meurers
Computer Science
2014

Readability assessment can play a role in the evaluation of a simplification algorithm as well as in the identification of what to simplify. Expand

A Readable Read: Automatic Assessment of Language Learning Materials based on Linguistic Complexity

I. Pilán, Sowmya Vajjala, E. Volodina
Computer Science
Int. J. Comput. Linguistics Appl.
29 March 2016

We propose a supervised machine learning model, based on a range of linguistic features, that can reliably classify texts according to their difficulty level. Expand

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