{"id":32253,"date":"2026-01-21T17:01:36","date_gmt":"2026-01-21T17:01:36","guid":{"rendered":"https:\/\/lamarr-institute.org\/publication\/automating-translation-checks-of-financial-documents-using-large-language-models\/"},"modified":"2026-06-08T13:18:54","modified_gmt":"2026-06-08T13:18:54","slug":"automating-translation-checks-of-financial-documents-using-large-language-models","status":"publish","type":"publication","link":"https:\/\/lamarr-institute.org\/de\/publication\/automating-translation-checks-of-financial-documents-using-large-language-models\/","title":{"rendered":"Automating translation checks of financial documents using large language models"},"content":{"rendered":"<p>We introduce a tool for automated translation checking of financial reports in German-English. It uses a heuristic matching algorithm followed by a transformer encoder based error detection model on sentence pair level. For generating the training data, we leverage state-of-the-art large language models such as {GPT}-4o, thereby alleviating the need for expert annotations. The results suggest that smaller models fine-tuned specifically for this task significantly outperform large multi-purpose generative models like {GPT}-4 for this particular problem, and that a combination of informed and deep learning approaches works best in this case. The tool is being made publicly available as a demonstrator.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We introduce a tool for automated translation checking of financial reports in German-English. It uses a heuristic matching algorithm followed by a transformer encoder based error detection model on sentence pair level. For generating the training data, we leverage state-of-the-art large language models such as {GPT}-4o, thereby alleviating the need for expert annotations. The results suggest that smaller models fine-tuned specifically for this task significantly outperform large multi-purpose generative models [&hellip;]<\/p>\n","protected":false},"author":12,"featured_media":0,"template":"","meta":{"_acf_changed":false,"footnotes":""},"publication-type":[30],"class_list":["post-32253","publication","type-publication","status-publish","hentry","publication-type-article"],"acf":[],"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication\/32253","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication"}],"about":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/types\/publication"}],"author":[{"embeddable":true,"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/users\/12"}],"version-history":[{"count":1,"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication\/32253\/revisions"}],"predecessor-version":[{"id":36727,"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication\/32253\/revisions\/36727"}],"wp:attachment":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/media?parent=32253"}],"wp:term":[{"taxonomy":"publication-type","embeddable":true,"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication-type?post=32253"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}