Melvin Johnson
23 papers · 2018–2023 · 9 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (9) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (5)
🐣
Hot Topic Early Bird
🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(9)
🔬
Deep Specialist
(11)
👥
Mega-Team
(27)
🗃️
Keyword Collector
(76)
⚡
Prolific Year
(9)
💎
Century Club
(23)
🔥
Unstoppable
(6)
❓
The Questioner
(2)
Conferences
EMNLP (5)
ACL (4)
ICML (3)
IJCNLP (3)
NAACL (3)
INTERSPEECH (2)
AAAI (1)
EACL (1)
ICLR (1)
Top co-authors
Keywords
cross-lingual transfer
(6)
neural machine translation
(6)
low-resource language
(6)
machine translation
(5)
multilingual language model
(3)
benchmark evaluation
(3)
multilingual model
(3)
sequence labeling
(3)
transfer learning
(2)
multilingual encoder
(2)
morphological prediction
(2)
speech translation
(2)
knowledge distillation
(2)
part-of-speech tagging
(2)
zero-shot transfer
(2)
model compression
(2)
multilingual nlp
(2)
speech recognition
(2)
document-level translation
(2)
attention mechanism
(1)
Papers
XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages
EMNLP 2023
The Unreasonable Effectiveness of Few-shot Learning for Machine Translation
ICML 2023
Mu$^2$SLAM: Multitask, Multilingual Speech and Language Models
ICML 2023
Multilingual Document-Level Translation Enables Zero-Shot Transfer From Sentences to Documents
ACL 2022
XTREME-S: Evaluating Cross-lingual Speech Representations
INTERSPEECH 2022
DOCmT5: Document-Level Pretraining of Multilingual Language Models
NAACL 2022
Domain Curricula for Code-Switched MT at MixMT 2022
EMNLP 2022
Rethinking Embedding Coupling in Pre-trained Language Models
ICLR 2021
nmT5 - Is parallel data still relevant for pre-training massively multilingual language models?
ACL 2021
MergeDistill: Merging Language Models using Pre-trained Distillation
ACL 2021
Findings of the Shared Task on Machine Translation in Dravidian languages
EACL 2021
HintedBT: Augmenting Back-Translation with Quality and Transliteration Hints
EMNLP 2021
XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation
EMNLP 2021
nmT5 - Is parallel data still relevant for pre-training massively multilingual language models?
IJCNLP 2021
MergeDistill: Merging Language Models using Pre-trained Distillation
IJCNLP 2021
Explicit Alignment Objectives for Multilingual Bidirectional Encoders
NAACL 2021
Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation
AAAI 2020
XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalisation
ICML 2020
Massively Multilingual Neural Machine Translation
NAACL 2019
Small and Practical BERT Models for Sequence Labeling
EMNLP 2019
Direct Speech-to-Speech Translation with a Sequence-to-Sequence Model
INTERSPEECH 2019
Small and Practical BERT Models for Sequence Labeling
IJCNLP 2019
The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation
ACL 2018