ERIC Number: ED618433
Record Type: Non-Journal
Publication Date: 2021-Jun-14
Pages: 6
Abstractor: As Provided
ISBN: N/A
ISSN: EISSN-
EISSN: N/A
Paraphrasing Academic Text: A Study of Back-Translating Anatomy and Physiology with Transformers
Grantee Submission, Paper presented at the International Conference on Artificial Intelligence in Education (22nd, 2021)
This paper explores a general approach to paraphrase generation using a pre-trained seq2seq model fine-tuned using a back-translated anatomy and physiology textbook. Human ratings indicate that the paraphrase model generally preserved meaning and grammaticality/fluency: 70% of meaning ratings were above 75, and 40% of paraphrases were considered more grammatical/fluent than the originals. An error analysis suggests potential avenues for future work. [This paper was published in: "Proceedings of the 22nd International Conference on Artificial Intelligence in Education," edited by I. Roll, D. McNamara, S. Sosnovsky, R. Luckin, and V. Dimitrova, Springer International Publishing, 2021, pp. 279-284.]
Descriptors: Translation, Language Processing, Error Analysis (Language), Grammar, Writing Skills, Models, Anatomy, Physiology, Textbooks, Science Instruction, Language Fluency, Computational Linguistics, Second Languages, Language Usage, Computer Software, Slavic Languages, Russian, English (Second Language), Welsh, Turkish, Indo European Languages, Chinese, Semitic Languages, Contrastive Linguistics, Written Language
Publication Type: Speeches/Meeting Papers; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: National Science Foundation (NSF); Institute of Education Sciences (ED)
Authoring Institution: N/A
IES Funded: Yes
Grant or Contract Numbers: 1918751; 1934745; R305A190448