Translation and editing may be defined as highly similar practices yielding an independent text that bears a relationship to other texts. This article offers examples from the author’s ongoing project A Sauvage Reader demonstrate how it possible emphasize bonds of correspondence emerge, via translation editing, between texts, opposed anxieties about search for fidelity definitive text.

Integration of text and documents into database management systems has been the subject of much research. However, most of the approaches are limited to data retrieval. Collaborative text editing, i.e. the ability for multiple users to work on a document instance simultaneously, is rarely supported. Also, documents mostly consist of plain text only, and support very limited meta data storage or...

Composing text on the computer is usually heavily dependent on editing, such as moving text around, correcting spacing, and inserting punctuation characters. Dictation systems, based on automatic speech recognition, are not known for their efficiency as an editing tool—something that significantly reduces their potential for freeing the user from the keyboard. Speech recognition has almost inva...

This paper focuses on the relationship between source text characteristics (ambiguity, complexity and style compliance) and machine-translation post-editing effort (both temporal and technical). Post-editing data is collected in a traditional translation environment and subsequently plotted against textual scores produced by a range of systems. Our findings show some strong correlation between ...

The majority of the world’s languages have little to no NLP resources or tools. This is due to a lack of training data (“resources”) over which tools, such as taggers or parsers, can be trained. In recent years, there have been increasing efforts to apply NLP methods to a much broader swathe of the worlds languages. In many cases this involves bootstrapping the learning process with enriched or...