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Interference and Case Marker Effects in Dependency Locality: Insights from Hindi.

, , and . CogSci, cognitivesciencesociety.org, (2022)

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Eye tracking for the online evaluation of prosody in speech synthesis: not so fast!, , , and . INTERSPEECH, page 2523-2526. ISCA, (2009)Better Surface Realization through Psycholinguistics., and . Lang. Linguistics Compass, 8 (10): 428-448 (2014)Interference and Case Marker Effects in Dependency Locality: Insights from Hindi., , and . CogSci, cognitivesciencesociety.org, (2022)Linguistically Motivated Features for Classifying Shorter Text into Fiction and Non-Fiction Genre., , , and . COLING, page 922-937. International Committee on Computational Linguistics, (2022)Discourse Context Predictability Effects in Hindi Word Order., , , and . EMNLP, page 10390-10406. Association for Computational Linguistics, (2022)Minimal Dependency Length in Realization Ranking., and . EMNLP-CoNLL, page 244-255. ACL, (2012)Exploiting Named Entity Classes in CCG Surface Realization., , and . HLT-NAACL (Short Papers), page 161-164. The Association for Computational Linguistics, (2009)Further Meta-Evaluation of Broad-Coverage Surface Realization., , , and . EMNLP, page 564-574. ACL, (2010)Evaluating prosody in synthetic speech with online (eye-tracking) and offline (rating) methods., , , and . SSW, page 276-281. ISCA, (2010)Quantifying sentence complexity based on eye-tracking measures., , , and . CL4LC@COLING 2016, page 202-212. The COLING 2016 Organizing Committee, (2016)