Informality judgment at sentence level and experiments with formality score

Shibamouli Lahiri, Prasenjit Mitra, Xiaofei Lu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Scopus citations

Abstract

Formality and its converse, informality, are important dimensions of authorial style that serve to determine the social background a particular document is coming from, and the potential audience it is targeted to. In this paper we explored the concept of formality at the sentence level from two different perspectives. One was the Formality Score (F-score) and its distribution across different datasets, how they compared with each other and how F-score could be linked to human-annotated sentences. The other was to measure the inherent agreement between two independent judges on a sentence annotation task. It gave us an idea how subjective the concept of formality was at the sentence level. Finally, we looked into the related issue of document readability and measured its correlation with document formality.

Original languageEnglish (US)
Title of host publicationComputational Linguistics and Intelligent Text Processing - 12th International Conference, CICLing 2011, Proceedings
Pages446-457
Number of pages12
EditionPART 2
DOIs
StatePublished - Mar 9 2011
Event12th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2011 - Tokyo, Japan
Duration: Feb 20 2011Feb 26 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6609 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other12th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2011
CountryJapan
CityTokyo
Period2/20/112/26/11

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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    Lahiri, S., Mitra, P., & Lu, X. (2011). Informality judgment at sentence level and experiments with formality score. In Computational Linguistics and Intelligent Text Processing - 12th International Conference, CICLing 2011, Proceedings (PART 2 ed., pp. 446-457). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6609 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-19437-5_37