This article presents the main functionality of the postedit.me app. Postedit.me is a software program that supports machine translation post-editing training in translator education, with special emphasis on standardized quality evaluation of post-edited texts produced by students. The app is made freely available to universities for teaching and research purposes.

In this paper, we present the Post-Edit Me! project, which aims to support machine translation post-editing training and learning in translator education, with particular emphasis on quality evaluation of students’ productions. We describe the main components of the project, from the perspectives of both translation lecturers and translation students, and the project’s outcomes to date, namely the MTPEAS annotation system used to assess students’ post-edited texts and the postedit.me app we are currently developing to automate the evaluation workflow.

L’objectif de notre travail est d’évaluer l’intérêt d’employer les n-grammes et l’analyse factorielle des correspondances (AFC) pour comparer les genres textuels dans les études contrastives interlinguistiques. Nous exploitons un corpus bilingue anglais-français constitué de textes originaux comparables. Le corpus réunit trois genres : les débats parlementaires européens, les éditoriaux de presse et les articles scientifiques. Dans un premier temps, les n-grammes d’une longueur de 2 à 4 mots sont extraits dans chaque langue. Ensuite, pour chaque longueur, les 1 000 n-grammes les plus fréquents dans chaque langue sont traités par l’AFC pour déterminer quels n-grammes sont particulièrement saillants dans les genres étudiés. Enfin, les n-grammes sont catégorisés manuellement en distinguant les expressions d’opinion et de certitude, les marqueurs discursifs et les expressions référentielles. Les résultats montrent que les n-grammes permettent de mettre au jour des caractéristiques typiques des genres étudiés, de même que des contrastes interlangues intéressants.

This article aims to assess to what extent translation can shed light on the semantics of French evaluative prefixation by adopting No ̈el (2003)’s ‘translations as evidence for semantics’ approach. In French, evaluative prefixes can be classified along two dimensions (cf. (Fradin and Montermini 2009)): (1) a quantity dimension along a maximum/minimum axis and the semantic values big and small, and (2) a quality dimension along a positive/negative axis and the values good (excess; higher degree) and bad (lack; lower degree). In order to provide corpus-based insights into this semantic categorization, we analyze French evaluative prefixes alongside their English translation equivalents in a parallel corpus. To do so, we focus on periphrastic translations, as they are likely to ‘spell out’ the meaning of the French prefixes. The data used were extracted from the Europarl parallel corpus (Koehn 2005; Cartoni and Meyer 2012). Using a tailormade program, we first aligned the French prefixed words with the corresponding word(s) in English target sentences, before proceeding to the evaluation of the aligned sequences and the manual analysis of the bilingual data. Results confirm that translation data can be used as evidence for semantics in morphological research and help refine existing semantic descriptions of evaluative prefixes.

This paper introduces a new lexicographic resource, the MuLeXFoR database, which aims to present word-formation processes in a multilingual environment. Morphological items represent a real challenge for lexicography, especially for the development of multilingual tools. Affixes can take part in several word-formation rules and, conversely, rules can be realised by means of a variety of affixes. Consequently, it is often difficult to provide enough information to help users understand the meaning(s) of an affix or familiarise with the most frequent strategies used to translate the meaning(s) conveyed by affixes. In fact, traditional dictionaries often fail to achieve this goal. The database introduced in this paper tries to take advantage of recent advances in electronic implementation and morphological theory. Word-formation is presented as a set of multilingual rules that users can access via different indexes (affixes, rules and constructed words). MuLeXFoR entries contain, among other things, detailed descriptions of morphological constraints and productivity notes, which are sorely lacking in currently available tools such as bilingual dictionaries.