This paper presents the results of the General Machine Translation Task organised as part
of the Conference on Machine Translation (WMT) 2022. In the general MT task, participants …

Zero pronouns (ZPs) are frequently omitted in pro-drop languages (eg Chinese, Hungarian,
and Hindi), but should be recalled in non-pro-drop languages (eg English). This …

Despite the recent success of automatic metrics for assessing translation quality, their
application in evaluating the quality of machine-translated chats has been limited. Unlike …

While machine translation (MT) systems are achieving increasingly strong performance on
benchmarks, they often produce translations with errors and anomalies. Understanding …

Automatic metrics for evaluating translation quality are typically validated by measuring how
well they correlate with human assessments. However, correlation methods tend to capture …

Applying differential privacy (DP) by means of the DP-SGD algorithm to protect individual
data points during training is becoming increasingly popular in NLP. However, the choice of …

In this paper, we present our approach to the WMT24-Chat Task, addressing the challenge
of translating chat conversations. Chat conversations are characterised by their informal …

Task-oriented conversational datasets often lack topic variability and linguistic diversity.
However, with the advent of Large Language Models (LLMs) pretrained on extensive …

Knowledge distillation, transferring knowledge from a teacher model to a student model, has
emerged as a powerful technique in neural machine translation for compressing models or …

This paper describes Unbabel+ IT's submission to the Chat Shared Task held at the
Workshop of Machine Translation 2024. The task focuses on translating customer support …