Automated Extraction and Analysis of Sentences under Production
A Theoretical Framework and Its Evaluation
Bibliographic Data
| ID | 5900166 |
|---|---|
| Authors | Malgorzata Anna Ulasik, Aleksandra Miletic (0000-0003-4585-0802) |
| Year | 2024 |
| Volume | 9 |
| Issue | 3 |
| Pages | 71 |
| Publication date | 2024-02-22 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Languages (JOURNAL) |
| Journal identifiers | ISSN: 2226-471X • E-ISSN: 2226-471X |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/languages9030071 |
| OpenAlex | W4392030352 |
| Language | EN |
| References cited | 20 |
Sentences are generally understood to be essential communicative units in writing that are built to express thoughts and meanings. Studying sentence production provides a valuable opportunity to shed new light on the writing process itself and on the underlying cognitive processes. Nevertheless, research on the production of sentences in writing remains scarce. We propose a theoretical framework and an open-source implementation that aim to facilitate the study of sentence production based on keystroke logs. We centre our approach around the notion of sentence history: all the versions of a given sentence during the production of a text. The implementation takes keystroke logs as input and extracts sentence versions, aggregates them into sentence histories and evaluates the sentencehood of each sentence version. We provide detailed evaluation of the implementation based on a manually annotated corpus of texts in French, German and English. The implementation yields strong results on the three processing aspects
Chromatography · Economics · Extraction (chemistry · Natural language processing · Production (economics · Chemistry · Computer Science · Linguistics and Discourse Analysis · Natural Language Processing Techniques · Topic Modeling · Artificial Intelligence
| Highly cited | No |
|---|