Lane Schwartz
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition
- Language and Linguistics top 10%
- Molecular Biology
- Information Systems
- Co-authors
- William SchulerChris Callison-BurchJuri GanitkevitchJonathan WeeseOmar F. ZaidanChris DyerSanjeev KhudanpurZhifei Li
- Topics
- Natural Language Processing Techniques (34 papers)Topic Modeling (23 papers)Speech and dialogue systems (11 papers)
- Journals
- Computational LinguisticsLanguage Resources and EvaluationTransactions of the Association for Computational Linguistics
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Lane Schwartz
38 papers receiving 402 citations
Peers
Comparison fields: 5 of 35
- Artificial Intelligence 430
- Computer Vision and Pattern Recognition 49
- Language and Linguistics 25
- Molecular Biology 20
- Information Systems 20
Countries citing papers authored by Lane Schwartz
This map shows the geographic impact of Lane Schwartz'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 Lane Schwartz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lane Schwartz more than expected).
Fields of papers citing papers by Lane Schwartz
This network shows the impact of papers produced by Lane Schwartz. 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 Lane Schwartz. The network helps show where Lane Schwartz may publish in the future.
Co-authorship network of co-authors of Lane Schwartz
This figure shows the co-authorship network connecting the top 25 collaborators of Lane Schwartz. A scholar is included among the top collaborators of Lane Schwartz 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 Lane Schwartz. Lane Schwartz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Improved Finite-State Morphological Analysis for St. Lawrence Island Yupik Using Paradigm Function Morphology | 1 |
| 3 | Multidirectional Leveraging for Computational Morphology and Language Documentation and Revitalization. | 1 |
| 4 | 17 | |
| 5 | 1 | |
| 6 | A Morphological Analyzer for St. Lawrence Island / Central Siberian Yupik | 7 |
| 7 | 19 | |
| 8 | DLVM: A modern compiler infrastructure for deep learning | 1 |
| 9 | Liinnaqumalghiit: A web-based tool for addressing orthographic transparency in St. Lawrence Island/Central Siberian Yupik | 2 |
| 10 | A Taxonomy of Weeds: A Field Guide for Corpus Curators to Winnowing the Parallel Text Harvest. | 1 |
| 11 | Fast, Scalable Phrase-Based SMT Decoding | 2 |
| 12 | 2 | |
| 13 | Effects of word alignment visualization on post-editing quality & speed. | 5 |
| 14 | Monolingual post-editing by a domain expert is highly effective for translation triage | 6 |
| 15 | Incremental Syntactic Language Models for Phrase-based Translation | 18 |
| 16 | Reproducible Results in Parsing-Based Machine Translation: The JHU Shared Task Submission | 6 |
| 17 | 7 | |
| 18 | Joshua: An open source toolkit for parsing-based machine translation | 60 |
| 19 | Multi-source translation methods | 14 |
| 20 | Corpus-based acquisition of head noun countability features | 6 |
About Lane Schwartz
Lane Schwartz is a scholar working on Artificial Intelligence, Linguistics and Language and General Social Sciences, having authored 39 papers that have together received 454 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (34 papers), Topic Modeling (23 papers) and Speech and dialogue systems (11 papers). The work is most often cited by research in Artificial Intelligence (430 citations), Language and Linguistics (25 citations) and Computer Vision and Pattern Recognition (49 citations). Lane Schwartz has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include William Schuler, Chris Callison-Burch, Juri Ganitkevitch, Jonathan Weese, Omar F. Zaidan, Chris Dyer, Sanjeev Khudanpur, Zhifei Li, Tim Miller and Samir Abdelrahman. Their work appears in journals such as Computational Linguistics, Language Resources and Evaluation and Transactions of the Association for 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.