Finite-state transducers in language and speech processing
- Authors
- Mehryar Mohri
- Journal
- Computational Linguistics
In The Last Decade
doi.org/w7625743 →Countries where authors are citing Finite-state transducers in language and speech processing
This map shows the geographic impact of Finite-state transducers in language and speech processing. 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 Finite-state transducers in language and speech processing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Finite-state transducers in language and speech processing more than expected).
Fields of papers citing Finite-state transducers in language and speech processing
This network shows the impact of Finite-state transducers in language and speech processing. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Finite-state transducers in language and speech processing.
About Finite-state transducers in language and speech processing
This paper, published in 1997, received 500 indexed citations . Written by Mehryar Mohri covering the research area of Artificial Intelligence and Computational Theory and Mathematics. It is primarily cited by scholars working on Artificial Intelligence (446 citations), Computational Theory and Mathematics (209 citations) and Signal Processing (54 citations). Published in Computational Linguistics.
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.
This paper is also available at doi.org/w7625743.