Conflict-Free Replicated Data Types (CRDTs) support decentralized collaborative editing of shared data, enabling peer-to-peer sharing and flexible branching merging workflows. While there is extensive work on CRDTs for plain text, much less known about rich text with formatting. No algorithms have been published, existing open-source implementations do not always preserve user intent. In this p...

this study examined the effects of task complexity on written narrative production under different task complexity conditions by efl learners at different proficiency levels. task complexity was manipulated along robinson’s (2001b) proposed task complexity dimension of here-and-now (simple) vs. there-and-then (complex) in. accordingly, three specific measures of the written narratives were targ...

The four articles in this special issue of Human-Computer Interaction describe recent research in mobile text entry. Text entry research is by no means new. We can depict the progression of text entry research as occuring in two waves. The first was in the 1970s and early 1980s in response to the new role of electronic computers in automating office tasks, such as typing, word processing, and d...

This paper summarises the results of a pilot project conducted to investigate the correlation between automatic evaluation metric scores and post-editing speed on a segment by segment basis. Firstly, the results from the comparison of various automatic metrics and post-editing speed will be reported. Secondly, further analysis is carried out by taking into consideration other relevant variables...

The Automated Evaluation of Scientific Writing, or AESW, is the task of identifying sentences in need of correction to ensure their appropriateness in a scientific prose. The data set comes from a professional editing company, VTeX, with two aligned versions of the same text – before and after editing – and covers a variety of textual infelicities that proofreaders have edited. While previous s...

We present a method for zero-shot, text-driven editing of natural images and videos. Given an image or video text prompt, our goal is to edit the appearance existing objects (e.g., texture) augment scene with visual effects smoke, fire) in semantic manner. train generator on internal dataset, extracted from single input, while leveraging external pretrained CLIP model impose losses. Rather than...

This paper proposes an approach for the reconstruction of itineraries extracted from narrative texts. This approach is divided into two main tasks. The first extracts geographical information with natural language processing. Its outputs are annotations of so called expanded entities and expressions of displacement or perception from hiking descriptions. In order to reconstruct a plausible foot...

The paper discusses facilities of computer systems for editing scientific and technical texts, which partially automate functions of human editor and thus help the writer to improve text quality. Two experimental systems LINAR and CONUT developed in 90s to control the quality of Russian scientific and technical texts are briefly described; and general principles for designing more powerful edit...