Work

A Dependency Treebank of Spoken Second Language English

Year: 2022

Type: conference-paper

Abstract: In this paper, we introduce a dependency treebank of spoken second language (L2) English that is annotated with part of speech (Penn POS) tags and syntactic dependencies (Universal Dependencies).We then evaluate the degree to which the use of this treebank as training data affects POS and UD annotation accuracy for L1 web texts, L2 written texts, and L2 spoken texts as compared to models trained on L1 texts only.

Source: Workshop on Innovative Use of NLP for Building Educational Applications

DOI: 10.18653/v1/2022.bea-1.7

Authors: Kristopher Kyle, Masaki Eguchi, Aaron Miller, Theodore Sither

Institution: University of Oregon

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4287854641

FWCI: 1.382

Cites: 39

Cited by: 11

Related to: 10