Eva Hasler

624 total citations
26 papers, 248 citations indexed

About

Eva Hasler is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Eva Hasler has authored 26 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Eva Hasler's work include Natural Language Processing Techniques (24 papers), Topic Modeling (18 papers) and Text Readability and Simplification (5 papers). Eva Hasler is often cited by papers focused on Natural Language Processing Techniques (24 papers), Topic Modeling (18 papers) and Text Readability and Simplification (5 papers). Eva Hasler collaborates with scholars based in United Kingdom, United States and Germany. Eva Hasler's co-authors include Philipp Koehn, Barry Haddow, Adrià de Gispert, Bill Byrne, Felix Stahlberg, Phil Blunsom, Rico Sennrich, Maria Nădejde, Matthias Huck and Philip Williams and has published in prestigious journals such as Computer Speech & Language, Edinburgh Research Explorer (University of Edinburgh) and Apollo (University of Cambridge).

In The Last Decade

Eva Hasler

22 papers receiving 221 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Eva Hasler United Kingdom	11	236	52	20	15	12	26	248
Teresa Herrmann Germany	11	293 1.2×	24 0.5×	16 0.8×	11 0.7×	14 1.2×	23	301
Julian Hitschler Germany	4	239 1.0×	108 2.1×	21 1.1×	6 0.4×	9 0.8×	7	256
Rajen Chatterjee Italy	12	441 1.9×	90 1.7×	43 2.1×	17 1.1×	25 2.1×	24	448
Maria Nădejde United Kingdom	10	369 1.6×	112 2.2×	25 1.3×	12 0.8×	21 1.8×	21	391
Chi-kiu Lo Hong Kong	12	441 1.9×	65 1.3×	33 1.6×	8 0.5×	17 1.4×	39	443
Stephan Peitz Germany	11	342 1.4×	67 1.3×	11 0.6×	5 0.3×	12 1.0×	28	347
Tagyoung Chung United States	9	221 0.9×	38 0.7×	11 0.6×	5 0.3×	15 1.3×	23	237
Ai Ti Aw Singapore	8	206 0.9×	27 0.5×	19 0.9×	5 0.3×	15 1.3×	20	217
Stig-Arne Grönroos Finland	9	335 1.4×	91 1.8×	11 0.6×	23 1.5×	13 1.1×	23	358
Jindřich Helcl Czechia	9	282 1.2×	126 2.4×	12 0.6×	11 0.7×	11 0.9×	16	304

Countries citing papers authored by Eva Hasler

Since Specialization

Citations

This map shows the geographic impact of Eva Hasler'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 Eva Hasler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Hasler more than expected).

Fields of papers citing papers by Eva Hasler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva Hasler. 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 Eva Hasler. The network helps show where Eva Hasler may publish in the future.

Co-authorship network of co-authors of Eva Hasler

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Hasler. A scholar is included among the top collaborators of Eva Hasler 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 Eva Hasler. Eva Hasler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Hasler, Eva, et al.. (2024). The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities. UvA-DARE (University of Amsterdam). 6189–6206. 1 indexed citations

Shen, Xiaoyu, et al.. (2024). A Preference-driven Paradigm for Enhanced Translation with Large Language Models. 3385–3403.

Domhan, Tobias, et al.. (2023). Trained MT Metrics Learn to Cope with Machine-translated References. 983–995. 1 indexed citations

Baziotis, Christos, Prashant Mathur, & Eva Hasler. (2023). Automatic Evaluation and Analysis of Idioms in Neural Machine Translation. 3682–3700. 2 indexed citations

Hasler, Eva, et al.. (2021). Improving the Quality Trade-Off for Neural Machine Translation Multi-Domain Adaptation. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 8470–8477. 3 indexed citations

Hasler, Eva, et al.. (2019). Controlling Japanese Honorifics in English-to-Japanese Neural Machine Translation. 19 indexed citations

Stahlberg, Felix, Adrià de Gispert, Eva Hasler, & Bill Byrne. (2017). Neural Machine Translation by Minimising the Bayes-risk with Respect to Syntactic Translation Lattices. 362–368. 20 indexed citations

Hasler, Eva, et al.. (2016). Source sentence simplification for statistical machine translation. Computer Speech & Language. 45. 221–235. 22 indexed citations

Hasler, Eva, Barry Haddow, & Philipp Koehn. (2014). Combining Domain and Topic Adaptation for SMT. Edinburgh Research Explorer (University of Edinburgh). 139–151. 3 indexed citations

10.

Williams, Philip, Rico Sennrich, Maria Nădejde, et al.. (2014). Proceedings of the Ninth Workshop on Statistical Machine Translation. 30 indexed citations

11.

Williams, Philip F., Rico Sennrich, Maria Nădejde, et al.. (2014). Edinburgh’s Syntax-Based Systems at WMT 2014. 207–214. 8 indexed citations

12.

Hasler, Eva, Barry Haddow, & Philipp Koehn. (2014). Dynamic Topic Adaptation for SMT using Distributional Profiles. Edinburgh Research Explorer (University of Edinburgh). 445–456. 12 indexed citations

13.

Hasler, Eva, Phil Blunsom, Philipp Koehn, & Barry Haddow. (2014). Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2014, April 26-30, 2014, Gothenburg, Sweden. 7 indexed citations

14.

Hasler, Eva, Barry Haddow, & Philipp Koehn. (2012). Sparse Lexicalised Features and Topic Adaptation for SMT. Edinburgh Research Explorer. 268–275. 23 indexed citations

15.

Hasler, Eva, Peter Bell, Arnab Ghoshal, et al.. (2012). The UEDIN Systems for the IWSLT 2012 Evaluation. IWSLT. 46–53. 11 indexed citations

16.

Khudanpur, Sanjeev, Emily Prud’hommeaux, Damianos Karakos, et al.. (2012). Continuous space discriminative language modeling. Edinburgh Research Explorer. 2129–2132. 4 indexed citations

17.

Hasler, Eva, Peter Bell, Arnab Ghoshal, et al.. (2012). Proc. International Workshop on Spoken Language Translation.

18.

Chen, Yu, et al.. (2007). Multi-Engine Machine Translation with an Open-Source SMT Decoder. Workshop on Statistical Machine Translation. 193–196. 12 indexed citations

19.

Eisele, Andreas, et al.. (2007). Multi-engine machine translation with an open-source decoder for statistical machine translation. 193–196. 9 indexed citations

20.

Hasler, Eva, et al.. (1990). [Learning by computer].. PubMed. 83(6). 63–5.

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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