Abstract
We conducted a corpus-based study on near synonymous cognitive verbs “renwei 認為” and “yiwei 以為” with a similar meaning of “to think” in Chinese. The motivation of this study is that information trustworthiness in propositions var-ies with the use of “renwei” or “yiwei”, which concerns the issue of speakers’ stances or atti-tudes. We examined the epistemic modality at-tributed to “renwei” and “yiwei” in written discourse, by testing their different functions of evidential marking, negative forms and hedging device. Results showed that “renwei” was asso-ciated with specialized and professional subjects and consequently demonstrated its relatively high degree of evidentiality. Then, specific neg-ative polarity shifters exclusively collocating with “yiwei” denoted larger scope of negation of entire propositions. Lastly, only “renwei” func-tioned as a hedge to mitigate claims lacking full commitment in the political discourse. Therefore, the evidence of data proved that the epistemic marker “renwei” was associated with a higher degree of information trustworthiness, contrib-uting to the annotation system in NLP for the de-tection of information credibility.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation |
| Editors | Minh Le Nguyen, Mai Chi Luong, Sanghoun Song |
| Publisher | Association for Computational Linguistics (ACL) |
| Pages | 453–461 |
| Publication status | Published - Oct 2020 |
| Event | The 34th Pacific Asia Conference on Language, Information and Computation (PACLIC-34) - Vietnam National University, Hanoi, Viet Nam Duration: 24 Oct 2020 → 26 Oct 2020 |
Conference
| Conference | The 34th Pacific Asia Conference on Language, Information and Computation (PACLIC-34) |
|---|---|
| Country/Territory | Viet Nam |
| City | Hanoi |
| Period | 24/10/20 → 26/10/20 |
Keywords
- epistemic modality
- information trustworthiness
- near-synonyms
ASJC Scopus subject areas
- Language and Linguistics
- Computer Science (miscellaneous)
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