Naho Orita


Predicting Japanese scrambling in the wild
Naho Orita
Proceedings of the 7th Workshop on Cognitive Modeling and Computational Linguistics (CMCL 2017)

Japanese speakers have a choice between canonical SOV and scrambled OSV word order to express the same meaning. Although previous experiments examine the influence of one or two factors for scrambling in a controlled setting, it is not yet known what kinds of multiple effects contribute to scrambling. This study uses naturally distributed data to test the multiple effects on scrambling simultaneously. A regression analysis replicates the NP length effect and suggests the influence of noun types, but it provides no evidence for syntactic priming, given-new ordering, and the animacy effect. These findings only show evidence for sentence-internal factors, but we find no evidence that discourse level factors play a role.


Incremental Prediction of Sentence-final Verbs: Humans versus Machines
Alvin Grissom II | Naho Orita | Jordan Boyd-Graber
Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning

Modeling Discourse Segments in Lyrics Using Repeated Patterns
Kento Watanabe | Yuichiroh Matsubayashi | Naho Orita | Naoaki Okazaki | Kentaro Inui | Satoru Fukayama | Tomoyasu Nakano | Jordan Smith | Masataka Goto
Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers

This study proposes a computational model of the discourse segments in lyrics to understand and to model the structure of lyrics. To test our hypothesis that discourse segmentations in lyrics strongly correlate with repeated patterns, we conduct the first large-scale corpus study on discourse segments in lyrics. Next, we propose the task to automatically identify segment boundaries in lyrics and train a logistic regression model for the task with the repeated pattern and textual features. The results of our empirical experiments illustrate the significance of capturing repeated patterns in predicting the boundaries of discourse segments in lyrics.

Toward the automatic extraction of knowledge of usable goods
Mei Uemura | Naho Orita | Naoaki Okazaki | Kentaro Inui
Proceedings of the 30th Pacific Asia Conference on Language, Information and Computation: Oral Papers


Why discourse affects speakers’ choice of referring expressions
Naho Orita | Eliana Vornov | Naomi Feldman | Hal Daumé III
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)


Quantifying the role of discourse topicality in speakers’ choices of referring expressions
Naho Orita | Naomi Feldman | Jordan Boyd-Graber | Eliana Vornov
Proceedings of the Fifth Workshop on Cognitive Modeling and Computational Linguistics