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EN
Fixed expressions pose numerous comprehension and equivalence problems both for users and translators. This article analyses seven translation programmes that have been developed in the last thirty years for automatic translation of texts without the intervention of human translators. The programmes are applied to a series of fixed expressions extracted from the Spanish novel El capitán Alatriste by A. Pérez‑Reverte. The results are compared with the manual translation of the French version as well as the solutions presented by two bilingual Spanish‑French dictionaries. We conclude that developers of automatic translation programmes need to elaborate this problem in greater depth in order to produce better founded linguistic resources for enhancing the quality of the translations.
EN
To address archaeology’s most pressing substantive challenges, researchers must discover, access, and extract information contained in the reports and articles that codify so much of archaeology’s knowledge. These efforts will require application of existing and emerging natural language processing technologies to extensive digital corpora. Automated classification can enable development of metadata needed for the discovery of relevant documents. Although it is even more technically challenging, automated extraction of and reasoning with information from texts can provide urgently needed access to contextualized information within documents. Effective automated translation is needed for scholars to benefit from research published in other languages.
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