Anna Currey

756 total citations
13 papers, 299 citations indexed

About

Anna Currey is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Infectious Diseases. According to data from OpenAlex, Anna Currey has authored 13 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 0 papers in Infectious Diseases. Recurrent topics in Anna Currey's work include Natural Language Processing Techniques (13 papers), Topic Modeling (11 papers) and Multimodal Machine Learning Applications (5 papers). Anna Currey is often cited by papers focused on Natural Language Processing Techniques (13 papers), Topic Modeling (11 papers) and Multimodal Machine Learning Applications (5 papers). Anna Currey collaborates with scholars based in United Kingdom, United States and Germany. Anna Currey's co-authors include Kenneth Heafield, Antonio Valerio Miceli Barone, Philip Williams, Rico Sennrich, Alexandra Birch, Ulrich Germann, Barry Haddow, Georgiana Dinu, Prashant Mathur and Xing Niu and has published in prestigious journals such as Edinburgh Research Explorer (University of Edinburgh), University of Groningen research database (University of Groningen / Centre for Information Technology) and Edinburgh Research Explorer.

In The Last Decade

Anna Currey

12 papers receiving 263 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Anna Currey	292	131	12	10	6	13	299
Jindřich Helcl	282 1.0×	126 1.0×	11 0.9×	11 1.1×	12 2.0×	16	304
Baskaran Sankaran	213 0.7×	75 0.6×	10 0.8×	4 0.4×	6 1.0×	16	218
Tagyoung Chung	221 0.8×	38 0.3×	15 1.3×	5 0.5×	11 1.8×	23	237
Julian Hitschler	239 0.8×	108 0.8×	9 0.8×	6 0.6×	21 3.5×	7	256
Toshiaki Nakazawa	350 1.2×	133 1.0×	39 3.3×	20 2.0×	12 2.0×	46	360
Stephan Peitz	342 1.2×	67 0.5×	12 1.0×	5 0.5×	11 1.8×	28	347
Yunsu Kim	143 0.5×	50 0.4×	13 1.1×	6 0.6×	14 2.3×	24	168
Marco Damonte	186 0.6×	34 0.3×	16 1.3×	5 0.5×	4 0.7×	13	190
Shexia He	370 1.3×	70 0.5×	31 2.6×	5 0.5×	13 2.2×	10	381
Sittichai Jiampojamarn	352 1.2×	68 0.5×	7 0.6×	10 1.0×	7 1.2×	9	355

Countries citing papers authored by Anna Currey

Since Specialization

Citations

This map shows the geographic impact of Anna Currey's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Anna Currey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Currey more than expected).

Fields of papers citing papers by Anna Currey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna Currey. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Anna Currey. The network helps show where Anna Currey may publish in the future.

Co-authorship network of co-authors of Anna Currey

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Currey. A scholar is included among the top collaborators of Anna Currey based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anna Currey. Anna Currey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

Ding, Shuoyang, et al.. (2024). Fine-Tuned Machine Translation Metrics Struggle in Unseen Domains. 488–500.

Htut, Phu Mon, Xing Niu, Benjamin Hsu, et al.. (2023). RAMP: Retrieval and Attribute-Marking Enhanced Prompting for Attribute-Controlled Translation. University of Groningen research database (University of Groningen / Centre for Information Technology). 1476–1490. 2 indexed citations

Currey, Anna, Maria Nădejde, Raghavendra Pappagari, et al.. (2022). MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation. 4287–4299. 14 indexed citations

Nădejde, Maria, et al.. (2022). CoCoA-MT: A Dataset and Benchmark for Contrastive Controlled MT with Application to Formality. 616–632. 14 indexed citations

Choubey, Prafulla Kumar, Anna Currey, Prashant Mathur, & Georgiana Dinu. (2021). GFST: Gender-Filtered Self-Training for More Accurate Gender in Translation. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 1640–1654. 4 indexed citations

Currey, Anna, Prashant Mathur, & Georgiana Dinu. (2020). Distilling Multiple Domains for Neural Machine Translation. 4500–4511. 13 indexed citations

Currey, Anna & Kenneth Heafield. (2019). Incorporating Source Syntax into Transformer-Based Neural Machine Translation. Edinburgh Research Explorer (University of Edinburgh). 24–33. 33 indexed citations

Currey, Anna & Kenneth Heafield. (2019). Zero-Resource Neural Machine Translation with Monolingual Pivot Data. Edinburgh Research Explorer (University of Edinburgh). 99–107. 12 indexed citations

Currey, Anna & Kenneth Heafield. (2018). Multi-Source Syntactic Neural Machine Translation. Edinburgh Research Explorer. 2961–2966. 14 indexed citations

10.

Currey, Anna & Kenneth Heafield. (2018). Unsupervised Source Hierarchies for Low-Resource Neural Machine Translation. Edinburgh Research Explorer (University of Edinburgh). 6–12. 3 indexed citations

11.

Currey, Anna, Antonio Valerio Miceli Barone, & Kenneth Heafield. (2017). Copied Monolingual Data Improves Low-Resource Neural Machine Translation. Edinburgh Research Explorer (University of Edinburgh). 97 indexed citations

12.

Sennrich, Rico, Alexandra Birch, Anna Currey, et al.. (2017). The University of Edinburgh's Neural MT Systems for WMT17. Edinburgh Research Explorer (University of Edinburgh). 389–399. 88 indexed citations

13.

Currey, Anna, et al.. (2016). Using Related Languages to Enhance Statistical Language Models. 116–123. 5 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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