1 |
NMTScore: A Multilingual Analysis of Translation-based Text Similarity Measures ...
|
|
|
|
BASE
|
|
Show details
|
|
2 |
Improving Zero-shot Cross-lingual Transfer between Closely Related Languages by injecting Character-level Noise ...
|
|
|
|
BASE
|
|
Show details
|
|
4 |
Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference Resolution ...
|
|
|
|
BASE
|
|
Show details
|
|
6 |
Share or Not? Learning to Schedule Language-Specific Capacity for Multilingual Translation ...
|
|
|
|
BASE
|
|
Show details
|
|
7 |
Edinburgh’s End-to-End Multilingual Speech Translation System for IWSLT 2021 ...
|
|
|
|
BASE
|
|
Show details
|
|
11 |
Analyzing the Source and Target Contributions to Predictions in Neural Machine Translation ...
|
|
|
|
BASE
|
|
Show details
|
|
12 |
Vision Matters When It Should: Sanity Checking Multimodal Machine Translation Models ...
|
|
|
|
BASE
|
|
Show details
|
|
13 |
Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference Resolution ...
|
|
|
|
BASE
|
|
Show details
|
|
14 |
Language Modeling, Lexical Translation, Reordering: The Training Process of NMT through the Lens of Classical SMT ...
|
|
|
|
BASE
|
|
Show details
|
|
15 |
Language Modeling, Lexical Translation, Reordering: The Training Process of NMT through the Lens of Classical SMT ...
|
|
|
|
BASE
|
|
Show details
|
|
16 |
Contrastive Conditioning for Assessing Disambiguation in MT: A Case Study of Distilled Bias ...
|
|
|
|
BASE
|
|
Show details
|
|
17 |
Language Modeling, Lexical Translation, Reordering: The Training Process of NMT through the Lens of Classical SMT ...
|
|
|
|
BASE
|
|
Show details
|
|
20 |
Share or Not? Learning to Schedule Language-Specific Capacity for Multilingual Translation
|
|
|
|
In: Zhang, Biao; Bapna, Ankur; Sennrich, Rico; Firat, Orhan (2021). Share or Not? Learning to Schedule Language-Specific Capacity for Multilingual Translation. In: International Conference on Learning Representations, Virtual, 3 May 2021 - 7 May 2021, ICLR. (2021)
|
|
BASE
|
|
Show details
|
|
|
|