Andrew Finch
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 10%
- Information Systems
- Surgery
- Co-authors
- Eiichiro SumitaMasao UtiyamaRichard C. WilsonEdwin R. HancockYoung-Sook HwangMichael PaulLemao LiuYe Kyaw Thu
- Topics
- Natural Language Processing Techniques (72 papers)Topic Modeling (59 papers)Speech Recognition and Synthesis (16 papers)
- Partner nations
- JapanUnited KingdomChina
In The Last Decade
Andrew Finch
77 papers receiving 634 citations
Peers
Comparison fields: 5 of 65
- Artificial Intelligence 621
- Computer Vision and Pattern Recognition 213
- Signal Processing 51
- Information Systems 34
- Surgery 27
Countries citing papers authored by Andrew Finch
This map shows the geographic impact of Andrew Finch'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 Andrew Finch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Finch more than expected).
Fields of papers citing papers by Andrew Finch
This network shows the impact of papers produced by Andrew Finch. 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 Andrew Finch. The network helps show where Andrew Finch may publish in the future.
Co-authorship network of co-authors of Andrew Finch
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Finch. A scholar is included among the top collaborators of Andrew Finch 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 Andrew Finch. Andrew Finch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Introducing the Asian Language Treebank (ALT). | 20 |
| 2 | An Efficient and Effective Online Sentence Segmenter for Simultaneous Interpretation | 7 |
| 3 | A Large-scale Study of Statistical Machine Translation Methods for Khmer Language | 3 |
| 4 | An exploration of segmentation strategies in stream decoding. | 4 |
| 5 | Empirical Dependency-Based Head Finalization for Statistical Chinese-, English-, and French-to-Myanmar (Burmese) Machine Translation | 6 |
| 6 | 10 | |
| 7 | The NICT Translation System for IWSLT 2012 | 2 |
| 8 | Investigation on the effects of ASR tuning on speech translation performance. | 7 |
| 9 | A Bayesian model of bilingual segmentation for transliteration. | 25 |
| 10 | The NICT translation system for IWSLT 2010. | 2 |
| 11 | Syntactic Constraints on Phrase Extraction for Phrase-Based Machine Translation | 2 |
| 12 | Integration of Multiple Bilingually-Learned Segmentation Schemes into Statistical Machine Translation | 6 |
| 13 | Transliteration Using a Phrase-Based Statistical Machine Translation System to Re-Score the Output of a Joint Multigram Model | 18 |
| 14 | Reducing human assessment of machine translation quality to binary classifiers. | 7 |
| 15 | The NICT/ATR Speech Translation System for IWSLT 2007 | 11 |
| 16 | The niCT-ATR statistical machine translation system for the IWSLT 2006 evaluation. | 13 |
| 17 | EBMT, SMT, hybrid and more: ATR spoken language translation system. | 11 |
| 18 | How Does Automatic Machine Translation Evaluation Correlate with Human Scoring as the Number of Reference Translations Increases | 5 |
| 19 | Applying Extrasentential Context To Maximum Entropy Based Tagging With A Large Semantic And Syntactic Tagset. | 1 |
| 20 | Softening Discrete Relaxation | 7 |
About Andrew Finch
Andrew Finch is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 83 papers that have together received 746 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (72 papers), Topic Modeling (59 papers) and Speech Recognition and Synthesis (16 papers). The work is most often cited by research in Artificial Intelligence (621 citations), Computer Vision and Pattern Recognition (213 citations) and Signal Processing (51 citations). Andrew Finch has collaborated with scholars based in Japan, United Kingdom and China. Frequent co-authors include Eiichiro Sumita, Masao Utiyama, Richard C. Wilson, Edwin R. Hancock, Young-Sook Hwang, Michael Paul, Lemao Liu, Ye Kyaw Thu, Win Pa Pa and Ezra Black. Their work appears in journals such as IEEE Transactions on Medical Imaging, Pattern Recognition and Neural Computation.
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.