About – MULTI-TRAD

MULTI-TRAD explores register variation in machine translation, human translation and post-editing in texts produced by organisations in the Third Social Sector. The project adopts a corpus-based and multidimensional approach grounded in register theory and translation studies, combining corpus linguistics, multidimensional analysis and neural machine translation. The study is based on the analysis of a parallel Spanish–English corpus including original Spanish texts, human translations, machine-translated versions and post-edited outputs, which allows for systematic comparison across translation modes.

MULTI-TRAD aims to: (i) characterise register variation in Third Social Sector discourse; (ii) examine the extent to which machine translation modifies register-sensitive linguistic patterns; (iii) identify features associated with translationese, machine translationese and post-editese; (iv) assess whether post-editing restores register variation reduced in machine-translated texts; and (v) develop a custom neural machine translation engine for the Third Social Sector, informed by register-based and multidimensional analyses.

By focusing on Third Social Sector communication, the project addresses socially relevant multilingual contexts in which translation quality directly affects accessibility, trust and public engagement. In this sense, MULTI-TRAD seeks to contribute both to theoretical research on register variation and to the improvement of ethical and effective multilingual communication practices in the Third Social Sector, within an open-science framework.

Principal Investigator

María del Mar
Sánchez Ramos
University of Alcalá
(Alcalá de Henares, Spain)

Research
team

The Research Team is responsible for the scientific design, methodological development and analysis carried out in the project.

Diana González Pastor

University of València
(Spain)

María Teresa Ortego Antón

University of Valladolid
(Spain)

Cristina Plaza Lara

University of Málaga
(Spain)

Celia Rico Pérez

Complutense University of Madrid
(Spain)

Francisco J. Vigier Moreno

University Pablo de Olavide
(Seville, Spain)

Project
team

The Work Team supports the implementation of the project, including data collection, corpus preparation, technical development and dissemination.

Douglas Biber

Northern Arizona University
(USA)

Manuel Aenlle Currás

Freelance
(Spain)

Cristina Cano Fernández

Trip.com Group
(Spain)

Irene Fuentes-Pérez

University of Alcalá
(Alcalá de Henares, Spain)

Larissa Goulart

Montclair University
(USA)

Marcelo Yuji Himoro

UNED
(Spain)

Dorothy Kenny

Dublin City University
(Ireland)

Leida María Mónaco

University of A Coruña
(Spain)

Muhammad Shakir

University of Münster
(Germany)

Verónica Redondo Astilleros

Universitat Oberta de Catalunya
(Spain)

Tania Salvador Blázquez

UDIMA
(Spain)