Bram Bulté

Language and Linguistics · 2012–2019

A researcher in the Science corpus: 4 papers; trusts 45 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Language and Linguistics — 61 citations into it; #671 of 3,093 by trust here, #946 by citations
• Developmental and Educational Psychology — 54 citations into it; #1,780 of 8,223 by trust here, #3,615 by citations
• Artificial Intelligence — 37 citations into it; #18,150 of 35,345 by trust here, #25,809 by citations
• Literature and Literary Theory — 35 citations into it; #2,005 of 2,496 by trust here, #1,610 by citations
• Natural Language Processing — 13 citations into it; #3,151 of 5,688 by trust here, #4,983 by citations
• Experimental and Cognitive Psychology — 7 citations into it; #2,187 of 9,731 by trust here, #6,609 by citations
• Computer Vision and Pattern Recognition — 6 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Bram Bulté trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Chris Hokamp
2. Philipp Koehn
3. P. Skehan
4. Deyi Xiong
5. Gonzalo Navarro
6. L. Ortega
7. Alon Lavie
8. Gabriele Pallotti
9. R. Ellis
10. Raj Dabre

Who trusts Bram Bulté overall

1. N. Vyatkina
2. Scott Andrew Crossley
3. K. Kyle
4. Jalil Fathi
5. Zhenhao Li
6. Andrea Révész
7. Nabil Hossain
8. Jian Zhang
9. Lucia Specia
10. Masoud Rahimi

Papers from Bram Bulté's perspective

Ordered by how strongly the researchers Bram Bulté trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Long Short-Term Memory
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
7. ImageNet classification with deep convolutional neural networks
8. Bleu: a Method for Automatic Evaluation of Machine Translation
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

Their papers

• Neural Fuzzy Repair: Integrating Fuzzy Matches into Neural Machine Translation (2019) — 95 citations
• The Impact of Instruction and Out‐of‐School Exposure to Foreign Language Input on Learners’ Vocabulary Knowledge in Two Languages (2019) — 112 citations
• Conceptualizing and measuring short-term changes in L2 writing complexity (2014) — 415 citations
• Defining and operationalising L2 complexity (2012) — 380 citations