1 |
Pushing on Personality Detection from Verbal Behavior: A Transformer Meets Text Contours of Psycholinguistic Features ...
|
|
|
|
BASE
|
|
Show details
|
|
2 |
Measuring the Impact of (Psycho-)Linguistic and Readability Features and Their Spill Over Effects on the Prediction of Eye Movement Patterns ...
|
|
|
|
BASE
|
|
Show details
|
|
3 |
Alzheimer's Disease Detection from Spontaneous Speech through Combining Linguistic Complexity and (Dis)Fluency Features with Pretrained Language Models ...
|
|
|
|
BASE
|
|
Show details
|
|
4 |
The Impact of ASR on the Automatic Analysis of Linguistic Complexity and Sophistication in Spontaneous L2 Speech ...
|
|
|
|
Abstract:
In recent years, automated approaches to assessing linguistic complexity in second language (L2) writing have made significant progress in gauging learner performance, predicting human ratings of the quality of learner productions, and benchmarking L2 development. In contrast, there is comparatively little work in the area of speaking, particularly with respect to fully automated approaches to assessing L2 spontaneous speech. While the importance of a well-performing ASR system is widely recognized, little research has been conducted to investigate the impact of its performance on subsequent automatic text analysis. In this paper, we focus on this issue and examine the impact of using a state-of-the-art ASR system for subsequent automatic analysis of linguistic complexity in spontaneously produced L2 speech. A set of 30 selected measures were considered, falling into four categories: syntactic, lexical, n-gram frequency, and information-theoretic measures. The agreement between the scores for these measures ... : accepted at Interspeech2021 ...
|
|
Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
|
|
URL: https://arxiv.org/abs/2104.08529 https://dx.doi.org/10.48550/arxiv.2104.08529
|
|
BASE
|
|
Hide details
|
|
5 |
Prediction of Listener Perception of Argumentative Speech in a Crowdsourced Dataset Using (Psycho-)Linguistic and Fluency Features ...
|
|
|
|
BASE
|
|
Show details
|
|
6 |
FANG-COVID: A new large-scale benchmark dataset for fake news detection in German
|
|
|
|
BASE
|
|
Show details
|
|
9 |
Becoming Linguistically Mature: Modeling English and German Children’s Writing Development Across School Grades ...
|
|
|
|
BASE
|
|
Show details
|
|
14 |
CoCoGen - Complexity Contour Generator: Automatic Assessment of Linguistic Complexity Using a Sliding-Window Technique ...
|
|
|
|
BASE
|
|
Show details
|
|
18 |
Modeling Bilingual Children’s Acquisition of Complex Sentences in German
|
|
|
|
In: Wiechmann, Daniel; Steinfeld, Judith; & Kerz, Elma. (2013). Modeling Bilingual Children’s Acquisition of Complex Sentences in German. Proceedings of the Cognitive Science Society, 35(35). Retrieved from: http://www.escholarship.org/uc/item/3dt4g42j (2013)
|
|
BASE
|
|
Show details
|
|
|
|