Andy Way
About
In The Last Decade
Andy Way
334 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 3.6k
- Language and Linguistics 509
- Computer Vision and Pattern Recognition 506
- Information Systems 260
- Molecular Biology 242
Countries citing papers authored by Andy Way
This map shows the geographic impact of Andy Way'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 Andy Way with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andy Way more than expected).
Fields of papers citing papers by Andy Way
This network shows the impact of papers produced by Andy Way. 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 Andy Way. The network helps show where Andy Way may publish in the future.
Co-authorship network of co-authors of Andy Way
This figure shows the co-authorship network connecting the top 25 collaborators of Andy Way. A scholar is included among the top collaborators of Andy Way 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 Andy Way. Andy Way is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | The impact of indirect machine translation on sentiment classification | 1 |
| 5 | 2 | |
| 6 | 2 | |
| 7 | Improving character-based decoding using target-side morphological\ninformation for neural machine translation | 9 |
| 8 | Neural pre-translation for hybrid machine translation | 7 |
| 9 | Translation resources and translator disempowerment | 8 |
| 10 | Using BabelNet to improve OOV coverage in SMT | 7 |
| 11 | Using SMT for OCR error correction of historical texts | 25 |
| 12 | Improving subject-verb agreement in SMT | 2 |
| 13 | The DCU machine translation systems for IWSLT 2010 | 1 |
| 14 | Lexicalized Semi-Incremental Dependency Parsing | 6 |
| 15 | Using F-structures in machine translation evaluation | 1 |
| 16 | Improving Online Machine Translation Systems | 6 |
| 17 | Strong Domain Variation and Treebank-Induced LFG Resources | 3 |
| 18 | Treebank-Based Multilingual Unification-Grammar Development | 12 |
| 19 | Translating with examples | 7 |
| 20 | Solving Headswitching Translation Cases in LFG-DOT | 0 |
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.