Advancing research in second language writing through computational tools and machine learning techniques
A research agenda
Bibliographic Data
| ID | 11438695 |
|---|---|
| Authors | Scott A Crossley (0000-0002-5148-0273, Georgia State University, corresponding author) |
| Year | 2013 |
| Volume | 46 |
| Issue | 2 |
| Pages | 256-271 |
| Publication date | 2013-04-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Language Teaching (JOURNAL) |
| Journal identifiers | ISSN: 0261-4448 • E-ISSN: 1475-3049 |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/s0261444812000547 |
| OpenAlex | W2012103184 |
| Language | EN |
| Citations received | 5 |
| References cited | 38 |
This paper provides an agenda for replication studies focusing on second language (L2) writing and the use of natural language processing (NLP) tools and machine learning algorithms. Specifically, it introduces a range of the available NLP tools and machine learning algorithms and demonstrates how these could be used to replicate seminal studies in L2 writing that concentrate on longitudinal writing development, predicting essay quality, examining differences between L1 and L2 writers, the effects of writing topics, and the effects of writing tasks. The paper concludes with implications for the recommended replication studies in the field of L2 writing and the advantages of using NLP tools and machine learning algorithms
Field (mathematics · Linguistics · Longitudinal field · Natural language processing · Quality (philosophy · Replicate · Replication (statistics · Second language · Second language writing · Computer Science · Natural Language Processing Techniques · Second Language Acquisition and Learning · Text Readability and Simplification · Artificial Intelligence
Predicting human judgments of essay quality in both integrated and independent second language writing samples
Exploring the potential of using an AI language model for automated essay scoring
Linguistic Analysis of Some Errors of Arabic-Turkish Writing
The Disciplinary Identity of Second Language Writing
Analyzing Discourse Processing Using a Simple Natural Language Processing Tool
Variation across Speech and Writing
The Relationship of Lexical Richness to the Quality of ESL Learners’ Oral Narratives
Differences in written discourse in independent and integrated prototype tasks for next generation Toefl
Coh-Metrix
MTLD, vocd-D, and HD-D
Using Computer-Tagged Linguistic Features to Describe L2 Writing Differences
A theory of reading
The relationship of lexical proficiency to the quality of ESL compositions
The Construction of Situation Models in Narrative Comprehension
Vocabulary Size and Use
A study of cohesion and coherence in English as a second language students’ writing
Linguistic/Rhetorical Measures for International Persuasive Student Writing
Replication in Applied Linguistics Research
Simplicity without Elegance
Lexical and Syntactic Features of ESL Writing by Students at Different Levels of L2 Proficiency
What Professors Actually Require
A Corpus‐Based Evaluation of Syntactic Complexity Measures as Indices of College‐Level ESL Writers' Language Development
To Assign a Topic or Not
Toward an Understanding of the Distinct Nature of L2 Writing
Measuring L2 Lexical Growth Using Hypernymic Relationships
The effects of essay topics on modal verb uses in L1 and L2 academic writing
| Unique citing works | 5 |
|---|---|
| Citations per year | 0,38 |
| Citation span | 2013 - 2023 (11) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 5 |