AppTek's Submission to the IWSLT 2022 Isometric Spoken Language Translation Task
To participate in the Isometric Spoken Language Translation Task of the IWSLT 2022 evaluation, constrained condition, AppTek developed neural Transformer-based systems for English-to-German with various mechanisms of length control, ranging from source-side and target-side pseudo-tokens to encoding of remaining length in characters that replaces positional encoding. We further increased translation length compliance by sentence-level selection of length-compliant hypotheses from different system variants, as well as rescoring of N-best candidates from a single system. Length-compliant back-translated and forward-translated synthetic data, as well as other parallel data variants derived from the original MuST-C training corpus were important for a good quality/desired length trade-off. Our experimental results show that length compliance levels above 90% can be reached while minimizing losses in MT quality as measured in BERT and BLEU scores.
Code (0)
등록된 구현이 없습니다.
Tasks
SentenceTranslationMethods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
AppTek’s Submission to the IWSLT 2022 Isometric Spoken Language Translation Task
To participate in the Isometric Spoken Language Translation Task of the IWSLT 2022 evaluation, constrained condition, AppTek developed neural Transformer-based systems for English-to-German with various mechanisms of len…
SentenceTranslationHW-TSC’s Participation in the IWSLT 2022 Isometric Spoken Language Translation
This paper presents our submissions to the IWSLT 2022 Isometric Spoken Language Translation task. We participate in all three language pairs (English-German, English-French, English-Spanish) under the constrained setting…
DecoderTranslationHierarchical Multi-task learning framework for Isometric-Speech Language Translation
This paper presents our submission for the shared task on isometric neural machine translation in International Conference on Spoken Language Translation (IWSLT). There are numerous state-of-art models for translation pr…
Machine TranslationMulti-Task LearningTranslationFindings of the IWSLT 2022 Evaluation Campaign
The evaluation campaign of the 19th International Conference on Spoken Language Translation featured eight shared tasks: (i) Simultaneous speech translation, (ii) Offline speech translation, (iii) Speech to speech transl…
Speech-to-Speech TranslationTranslationWithout Further Ado: Direct and Simultaneous Speech Translation by AppTek in 2021
This paper describes the offline and simultaneous speech translation systems developed at AppTek for IWSLT 2021. Our offline ST submission includes the direct end-to-end system and the so-called posterior tight integrate…
Automatic Speech RecognitionAutomatic Speech Recognition (ASR)Data AugmentationMachine Translation+3