Sara Stymne

55 papers receiving 447 citations

Peers

Sara Stymne
Comparison fields: 5 of 29
  • Artificial Intelligence 509
  • Information Systems 47
  • Computer Vision and Pattern Recognition 35
  • Language and Linguistics 32
  • Molecular Biology 21
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Gema Ramírez-Sánchez Spain
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Citations per year

Countries citing papers authored by Sara Stymne

Since Specialization
Citations

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

Fields of papers citing papers by Sara Stymne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Stymne

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2
Evaluating Word Embeddings for Indonesian-English Code-Mixed Text Based on Synthetic Data.
5
3
SLäNDa: An Annotated Corpus of Narrative and Dialogue in Swedish Literary Fiction
2
4
Arc-Hybrid Non-Projective Dependency Parsing with a Static-Dynamic Oracle.
19
5
Old School vs. New School : Comparing Transition-Based Parsers with and without Neural Network Enhancement
4
6
Tunable Distortion Limits and Corpus Cleaning for SMT
9
7
Feature Weight Optimization for Discourse-Level SMT
7
8
Docent: A Document-Level Decoder for Phrase-Based Statistical Machine Translation
31
9
Statistical Machine Translation with Readability Constraints
17
10
Alignment-based reordering for SMT
6
11
Eye Tracking as a Tool for Machine Translation Error Analysis
17
12
Clustered Word Classes for Preordering in Statistical Machine Translation
7
13
Experiments with word alignment, normalization and clause reordering for SMT between English and German
2
14
Spell Checking Techniques for Replacement of Unknown Words and Data Cleaning for Haitian Creole SMS Translation
8
15
Blast: A Tool for Error Analysis of Machine Translation Output
38
16
Productive Generation of Compound Words in Statistical Machine Translation
11
17
Pre- and Postprocessing for Statistical Machine Translation into Germanic Languages
9
18
Using a Grammar Checker for Evaluation and Postprocessing of Statistical Machine Translation
21
19
Vs and OOVs: Two Problems for Translation between German and English
6
20
Methods for human evaluation of machine translation
2

About Sara Stymne

Sara Stymne is a scholar working on Artificial Intelligence, Information Systems and Language and Linguistics, having authored 58 papers that have together received 531 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (56 papers), Topic Modeling (52 papers) and Speech and dialogue systems (16 papers). The work is most often cited by research in Artificial Intelligence (509 citations), Language and Linguistics (32 citations) and Information Systems (47 citations). Sara Stymne has collaborated with scholars based in Sweden, Germany and Finland. Frequent co-authors include Lars Ahrenberg, Joakim Nivre, Jörg Tiedemann, Christian Hardmeier, Miryam de Lhoneux, Preslav Nakov, Yannick Versley, Mauro Cettolo, Nicola Cancedda and Eliyahu Kiperwasser. Their work appears in journals such as Computational Linguistics, Language Resources and Evaluation and IEEE Transactions on Learning Technologies.

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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