Integrating meaning into quality evaluation of machine translation
- Publication type
- P1
- Publication status
- Published
- Authors
- Başkaya, O., Yildiz, E., Tunaoğlu, D., Eren, M., & Doğruöz, A.S.
- Series
- 15TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (EACL 2017), VOL 1: LONG PAPERS
- Pagination
- 210-219
- Publisher
- Association for Computational Linguistics (ACL)
- Conference
- 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2017) (Valencia, Spain)
- Download
- (.pdf)
- View in Biblio
- (externe link)
Abstract
Machine translation (MT) quality is evaluated through comparisons between MT outputs and the human translations (HT). Traditionally, this evaluation relies on form related features (e.g. lexicon and syntax) and ignores the transfer of meaning reflected in HT outputs. Instead, we evaluate the quality of MT outputs through meaning related features (e.g. polarity, subjectivity) with two experiments. In the first experiment, the meaning related features are compared to human rankings individually. In the second experiment, combinations of meaning related features and other quality metrics are utilized to predict the same human rankings. The results of our experiments confirm the benefit of these features in predicting human evaluation of translation quality in addition to traditional metrics which focus mainly on form.