The study aims to understand how Large Language Models (LLMs) utilize source and reference information in evaluating machine translations. The researchers designed controlled experiments across various input modes and model…
Continue readingThe article presents Approximate Minimum Bayes-Risk (AMBR) decoding, a faster, hyperparameter-free method for MBR decoding. MBR decoding is a powerful alternative for text generation tasks, but its computational complexity makes…
Continue readingThe paper ‘SurreyAI 2023 Submission for the Quality Estimation Shared Task’ discusses the use of Quality Estimation (QE) systems in machine translation. The SurreyAI team adopted an approach that builds…
Continue readingThis paper investigates the behavior of trained machine translation (MT) metrics when provided with machine-translated references. The study compares a baseline metric, Prism, that has not been trained on human…
Continue readingThe article presents GEST, a new dataset for measuring gender stereotypical reasoning in masked language models and English-to-X machine translation systems. GEST contains samples compatible with 9 Slavic languages and…
Continue readingThe article presents INarIG, a new model for Word-Level Auto Completion (WLAC) in computer-aided translation. WLAC predicts a target word given a source sentence, translation context, and a human-typed character…
Continue readingThe research presents a new dataset, GEST, for measuring gender stereotypical reasoning in masked language models and machine translation systems. The dataset contains samples compatible with 9 Slavic languages and…
Continue readingThe article introduces DISCO, a large-scale human annotated corpus for disfluency correction in four Indo-European languages: English, Hindi, German, and French. Disfluency correction is the process of removing disfluent elements…
Continue readingThe paper discusses a new approach to Disfluency Correction (DC) for four major Indo-European languages – English, Hindi, German, and French. DC is a process of removing disfluent elements such…
Continue readingThe article details the collaboration between Unbabel and Instituto Superior Técnico for the WMT 2023 Shared Task on Quality Estimation (QE). Their team participated in all tasks, including sentence and…
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