Mikel L. Forcada
Natural Language Processing · 1997–2019
A researcher in the Science corpus: 9 papers; trusts 36 researchers and is trusted by 22 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 34 citations into it; #1,487 of 5,688 by trust here, #2,440 by citations
- Artificial Intelligence — 31 citations into it; #13,587 of 35,345 by trust here, #17,110 by citations
- Evaluation & Benchmarks — 20 citations into it; #1,333 of 3,147 by trust here, #2,410 by citations
- Machine Translation — 8 citations into it; #197 of 292 by trust here, #225 by citations
- Computer Networks and Communications — 5 citations into it
- Information Systems — 5 citations into it
- Model Architectures — 5 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Mikel L. Forcada trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Philipp Koehn
- Jordan B. Pollack
- Lonnie Chrisman
- David E. Rumelhart
- Katherine L. Silversides
- George A. Miller
- Ergun Biçici
- Franz Joseph Och
- Michael Casey
- Geoffrey E. Hinton
Who trusts Mikel L. Forcada overall
- Yonatan Belinkov
- Ramón P. Ñeco
- Barret Zoph
- Marta Ruiz Costa-jussà
- Felix Stahlberg
- Kevin Knight
- Marcin Junczys-Dowmunt
- Kyunghyun Cho
- Philipp Koehn
- Yoav Goldberg
Papers from Mikel L. Forcada's perspective
Ordered by how strongly the researchers Mikel L. Forcada trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Bleu: a Method for Automatic Evaluation of Machine Translation
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Findings of the WMT 2018 Shared Task on Parallel Corpus Filtering (2018) — 121 citations
- ParaCrawl: Web-scale parallel corpora for the languages of the EU (2019) — 106 citations
- UAlacant word-level and phrase-level machine translation quality estimation systems at WMT 2016 (2016) — 3 citations
- UAlacant word-level machine translation quality estimation system at WMT 2015 (2015) — 11 citations
- Using on-line available sources of bilingual information for word-level machine translation quality estimation (2015) — 9 citations
- Using on-line available sources of bilingual information for word-level machine translation quality estimation (2015)
- Apertium: a free/open-source platform for rule-based machine translation (2011) — 419 citations
- Recursive Hetero-associative Memories for Translation (1997)
- Asynchronous translations with recurrent neural nets (1997)