Countries citing papers authored by Mary P. Harper
Since
Specialization
Citations
This map shows the geographic impact of Mary P. Harper'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 Mary P. Harper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary P. Harper more than expected).
This network shows the impact of papers produced by Mary P. Harper. 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 Mary P. Harper. The network helps show where Mary P. Harper may publish in the future.
Co-authorship network of co-authors of Mary P. Harper
This figure shows the co-authorship network connecting the top 25 collaborators of Mary P. Harper.
A scholar is included among the top collaborators of Mary P. Harper 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 Mary P. Harper. Mary P. Harper 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
1.
Harper, Mary P.. (2014). Learning from 26 Languages: Program Management and Science in the Babel Program. International Conference on Computational Linguistics. 1–1.3 indexed citations
2.
Harper, Mary P., et al.. (2011). Generalized Interpolation in Decision Tree LM. Meeting of the Association for Computational Linguistics. 620–624.
3.
Huang, Zhongqiang & Mary P. Harper. (2011). Feature-Rich Log-Linear Lexical Model for Latent Variable PCFG Grammars. International Joint Conference on Natural Language Processing. 219–227.6 indexed citations
4.
Gormley, Matthew R., Adam Gerber, Mary P. Harper, & Mark Dredze. (2010). Non-Expert Correction of Automatically Generated Relation Annotations. North American Chapter of the Association for Computational Linguistics. 204–207.11 indexed citations
Huang, Zhongqiang, Mary P. Harper, & Wen Wang. (2007). Mandarin Part-of-Speech Tagging and Discriminative Reranking. Empirical Methods in Natural Language Processing. 1093–1102.31 indexed citations
7.
Huang, Zhongqiang, Lei Chen, & Mary P. Harper. (2006). An Open Source Prosodic Feature Extraction Tool. Language Resources and Evaluation. 2116–2121.25 indexed citations
8.
Bies, Ann, Stephanie Strassel, Kazuaki Mæda, et al.. (2006). Linguistic Resources for Speech Parsing. Language Resources and Evaluation. 629–634.3 indexed citations
9.
Chen, Lei, Yang Liu, Mary P. Harper, Eduardo Habib Bechelane Maia, & Susan McRoy. (2004). Evaluating Factors Impacting the Accuracy of Forced Alignments in a Multimodal Corpus.. Language Resources and Evaluation.8 indexed citations
Harper, Mary P., et al.. (2000). The effectiveness of corpus-induced dependency grammars for post-processing speech. The COCOON platform (University of Paris). 102–109.6 indexed citations
Harper, Mary P., et al.. (1997). Analysis of Unknown Lexical Items using Morphological and Syntactic Information with the TIMIT Corpus.. Journal of Visual Languages & Computing.2 indexed citations
16.
Harper, Mary P., et al.. (1994). An approach to multiply segmented constraint satisfaction problems. National Conference on Artificial Intelligence. 350–355.3 indexed citations
17.
Harper, Mary P.. (1994). Stroing logical form in a shared-packed forest. Computational Linguistics. 20(4). 649–660.2 indexed citations
Harper, Mary P., et al.. (1992). Log Time Parsing on the MasPar MP-1.. Proceedings of the International Conference on Parallel Processing. 209–217.12 indexed citations
20.
Harper, Mary P.. (1988). Representing pronouns in logical form: computational constraints and linguistic evidence. National Conference on Artificial Intelligence. 712–717.2 indexed citations
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.