This paper describes the system for the identifying Plausible Clarifications of Implicit and Underspecified Phrases.
In order to verify whether our model could also perform better in subtask 2 (the regression subtask), the ranking score is transformed into classification labels by an up-sampling strategy.
The paper presents the HW-TSC’s pipeline and results of Offline Speech to Speech Translation for IWSLT 2022.
The cascade system is composed of a chunking-based streaming ASR model and the SimulMT model used in the T2T track.
For machine translation part, we pretrained three translation models on WMT21 dataset and fine-tuned them on in-domain corpora.