@inproceedings{lee-etal-2023-standard,
title = "Standard and Non-standard Adverbial Markers: a Diachronic Analysis in {M}odern {C}hinese Literature",
author = "Lee, John and
Zhan, Fangqiong and
Xie, Wenxiu and
Han, Xiao and
Chow, Chi-yin and
Lam, Kam-yiu",
editor = "Degaetano-Ortlieb, Stefania and
Kazantseva, Anna and
Reiter, Nils and
Szpakowicz, Stan",
booktitle = "Proceedings of the 7th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature",
month = may,
year = "2023",
address = "Dubrovnik, Croatia",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.latechclfl-1.1/",
doi = "10.18653/v1/2023.latechclfl-1.1",
pages = "1--9",
abstract = "This paper investigates the use of standard and non-standard adverbial markers in modern Chinese literature. In Chinese, adverbials can be derived from many adjectives, adverbs and verbs with the suffix {\textquotedblleft}de{\textquotedblright}. The suffix has a standard and a non-standard written form, both of which are frequently used. Contrastive research on these two competing forms has mostly been qualitative or limited to small text samples. In this first large-scale quantitative study, we present statistics on 346 adverbial types from an 8-million-character text corpus drawn from Chinese literature in the 20th century. We present a semantic analysis of the verbs modified by adverbs with standard and non-standard markers, and a chronological analysis of marker choice among six prominent modern Chinese authors. We show that the non-standard form is more frequently used when the adverbial modifies an emotion verb. Further, we demonstrate that marker choice is correlated to text genre and register, as well as the writing style of the author."
}
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%0 Conference Proceedings
%T Standard and Non-standard Adverbial Markers: a Diachronic Analysis in Modern Chinese Literature
%A Lee, John
%A Zhan, Fangqiong
%A Xie, Wenxiu
%A Han, Xiao
%A Chow, Chi-yin
%A Lam, Kam-yiu
%Y Degaetano-Ortlieb, Stefania
%Y Kazantseva, Anna
%Y Reiter, Nils
%Y Szpakowicz, Stan
%S Proceedings of the 7th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
%D 2023
%8 May
%I Association for Computational Linguistics
%C Dubrovnik, Croatia
%F lee-etal-2023-standard
%X This paper investigates the use of standard and non-standard adverbial markers in modern Chinese literature. In Chinese, adverbials can be derived from many adjectives, adverbs and verbs with the suffix “de”. The suffix has a standard and a non-standard written form, both of which are frequently used. Contrastive research on these two competing forms has mostly been qualitative or limited to small text samples. In this first large-scale quantitative study, we present statistics on 346 adverbial types from an 8-million-character text corpus drawn from Chinese literature in the 20th century. We present a semantic analysis of the verbs modified by adverbs with standard and non-standard markers, and a chronological analysis of marker choice among six prominent modern Chinese authors. We show that the non-standard form is more frequently used when the adverbial modifies an emotion verb. Further, we demonstrate that marker choice is correlated to text genre and register, as well as the writing style of the author.
%R 10.18653/v1/2023.latechclfl-1.1
%U https://aclanthology.org/2023.latechclfl-1.1/
%U https://doi.org/10.18653/v1/2023.latechclfl-1.1
%P 1-9
Markdown (Informal)
[Standard and Non-standard Adverbial Markers: a Diachronic Analysis in Modern Chinese Literature](https://aclanthology.org/2023.latechclfl-1.1/) (Lee et al., LaTeCHCLfL 2023)
ACL
- John Lee, Fangqiong Zhan, Wenxiu Xie, Xiao Han, Chi-yin Chow, and Kam-yiu Lam. 2023. Standard and Non-standard Adverbial Markers: a Diachronic Analysis in Modern Chinese Literature. In Proceedings of the 7th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, pages 1–9, Dubrovnik, Croatia. Association for Computational Linguistics.