DE eng

Search in the Catalogues and Directories

Page: 1 2 3
Hits 1 – 20 of 46

1
Observation of new excited ${B} ^0_{s} $ states
In: Eur.Phys.J.C ; https://hal.archives-ouvertes.fr/hal-03010999 ; Eur.Phys.J.C, 2021, 81 (7), pp.601. ⟨10.1140/epjc/s10052-021-09305-3⟩ (2021)
BASE
Show details
2
Generative Imagination Elevates Machine Translation ...
NAACL 2021 2021; Li, Lei; Long, Quanyu. - : Underline Science Inc., 2021
BASE
Show details
3
End-to-end Speech Translation via Cross-modal Progressive Training ...
Ye, Rong; Wang, Mingxuan; Li, Lei. - : arXiv, 2021
BASE
Show details
4
Locate then Segment: A Strong Pipeline for Referring Image Segmentation ...
Jing, Ya; Kong, Tao; Wang, Wei. - : arXiv, 2021
BASE
Show details
5
Personalized Transformer for Explainable Recommendation ...
Li, Lei; Zhang, Yongfeng; Chen, Li. - : arXiv, 2021
BASE
Show details
6
Learning Language Specific Sub-network for Multilingual Machine Translation ...
Lin, Zehui; Wu, Liwei; Wang, Mingxuan. - : arXiv, 2021
BASE
Show details
7
Contrastive Learning for Many-to-many Multilingual Neural Machine Translation ...
Pan, Xiao; Wang, Mingxuan; Wu, Liwei. - : arXiv, 2021
BASE
Show details
8
Multilingual Translation via Grafting Pre-trained Language Models ...
Sun, Zewei; Wang, Mingxuan; Li, Lei. - : arXiv, 2021
BASE
Show details
9
Counter-Interference Adapter for Multilingual Machine Translation ...
BASE
Show details
10
MTG: A Benchmarking Suite for Multilingual Text Generation ...
BASE
Show details
11
Language Tags Matter for Zero-Shot Neural Machine Translation ...
BASE
Show details
12
Personalized Transformer for Explainable Recommendation ...
BASE
Show details
13
Dynamic Knowledge Distillation for Pre-trained Language Models ...
BASE
Show details
14
Learning Shared Semantic Space for Speech-to-Text Translation ...
Abstract: Read paper: https://www.aclanthology.org/2021.findings-acl.195 Abstract: Having numerous potential applications and great impact, end-to-end speech translation (ST) has long been treated as an independent task, failing to fully draw strength from the rapid advances of its sibling - text machine translation (MT). With text and audio inputs represented differently, the modality gap has rendered MT data and its end-to-end models incompatible with their ST counterparts. In observation of this obstacle, we propose to bridge this representation gap with Chimera. By projecting audio and text features to a common semantic representation, Chimera unifies MT and ST tasks and boosts the performance on ST benchmarks, MuST-C and Augmented Librispeech, to a new stateof-the-art. Specifically, Chimera obtains 27.1 BLEU on MuST-C ENDE, improving the SOTA by a +1.9 BLEU margin. Further experimental analyses demonstrate that shared semantic space indeed conveys common knowledge between these two tasks and thus paves a new ...
Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics
URL: https://dx.doi.org/10.48448/f8cw-bq75
https://underline.io/lecture/26286-learning-shared-semantic-space-for-speech-to-text-translation
BASE
Hide details
15
Glancing Transformer for Non-Autoregressive Neural Machine Translation ...
BASE
Show details
16
Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification ...
BASE
Show details
17
Probabilistic Graph Reasoning for Natural Proof Generation ...
BASE
Show details
18
Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker ...
BASE
Show details
19
Multilingual Translation via Grafting Pre-trained Language Models ...
BASE
Show details
20
Language Tags Matter for Zero-Shot Neural Machine Translation ...
BASE
Show details

Page: 1 2 3

Catalogues
0
0
2
0
0
0
0
Bibliographies
0
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
44
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern