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Rajakrishnan Rajkumar

3 accepted papers

2025

Psycholinguistic Features Predict Word Duration in Hindi Read Aloud Speech

ICASSP 2025accepted

Reliable assessment of oral reading fluency (ORF) is of great importance in foundational literacy missions globally. For the design of level appropriate testing passages, text difficulty has traditionally been based on coarse-grained measures of readability like the Flesch–Kincaid score. We present…

Cited by 0SourceScholar
2022

Discourse Context Predictability Effects in Hindi Word Order

EMNLP 2022main

We test the hypothesis that discourse predictability influences Hindi syntactic choice. While prior work has shown that a number of factors (e.g., information status, dependency length, and syntactic surprisal) influence Hindi word order preferences, the role of discourse predictability is underexpl…

2022

Linguistically Motivated Features for Classifying Shorter Text into Fiction and Non-Fiction Genre

COLING 2022main

This work deploys linguistically motivated features to classify paragraph-level text into fiction and non-fiction genre using a logistic regression model and infers lexical and syntactic properties that distinguish the two genres. Previous works have focused on classifying document-level text into f…