Patrick Littell

1.1k total citations
28 papers, 400 citations indexed

About

Patrick Littell is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Language and Linguistics. According to data from OpenAlex, Patrick Littell has authored 28 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Language and Linguistics. Recurrent topics in Patrick Littell's work include Natural Language Processing Techniques (23 papers), Topic Modeling (19 papers) and Speech Recognition and Synthesis (5 papers). Patrick Littell is often cited by papers focused on Natural Language Processing Techniques (23 papers), Topic Modeling (19 papers) and Speech Recognition and Synthesis (5 papers). Patrick Littell collaborates with scholars based in United States, Canada and United Kingdom. Patrick Littell's co-authors include David R. Mortensen, Lori Levin, Siddharth Dalmia, Chris Dyer, Kartik Goyal, Chi-kiu Lo, Alan W. Black, Graham Neubig, Xinjian Li and Juncheng Li and has published in prestigious journals such as Language Resources and Evaluation, Computer Speech & Language and Machine Translation.

In The Last Decade

Patrick Littell

26 papers receiving 348 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Patrick Littell United States 9 367 61 52 39 19 28 400
Tanel Alumäe Estonia 11 427 1.2× 118 1.9× 46 0.9× 19 0.5× 12 0.6× 49 484
Julie Carson-Berndsen Ireland 9 242 0.7× 103 1.7× 18 0.3× 80 2.1× 15 0.8× 68 283
Laurent Besacier France 5 278 0.8× 165 2.7× 41 0.8× 32 0.8× 12 0.6× 7 332
Benoît Sagot France 13 484 1.3× 21 0.3× 35 0.7× 27 0.7× 116 6.1× 83 536
Robert Östling Sweden 11 351 1.0× 11 0.2× 25 0.5× 38 1.0× 48 2.5× 41 410
Richard Winski Türkiye 4 232 0.6× 67 1.1× 22 0.4× 77 2.0× 33 1.7× 7 302
Konstantinos Koumpis United Kingdom 7 203 0.6× 58 1.0× 24 0.5× 90 2.3× 32 1.7× 14 310
Katharina Kann United States 14 505 1.4× 9 0.1× 103 2.0× 10 0.3× 16 0.8× 45 538
Christo Kirov United States 10 323 0.9× 10 0.2× 44 0.8× 33 0.8× 30 1.6× 20 368
Johannes Bjerva Denmark 12 325 0.9× 5 0.1× 43 0.8× 30 0.8× 14 0.7× 46 364

Countries citing papers authored by Patrick Littell

Since Specialization
Citations

This map shows the geographic impact of Patrick Littell'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 Patrick Littell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Littell more than expected).

Fields of papers citing papers by Patrick Littell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick Littell. 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 Patrick Littell. The network helps show where Patrick Littell may publish in the future.

Co-authorship network of co-authors of Patrick Littell

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Littell. A scholar is included among the top collaborators of Patrick Littell 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 Patrick Littell. Patrick Littell 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.
2.
Cooper, Erica, Eric Joanis, Roland Kühn, et al.. (2024). Speech Generation for Indigenous Language Education. Computer Speech & Language. 90. 101723–101723. 1 indexed citations
3.
4.
Knowles, Rebecca, et al.. (2020). NRC Systems for the 2020 Inuktitut-English News Translation Task. NPARC. 156–170. 5 indexed citations
5.
6.
Joanis, Eric, et al.. (2020). The Nunavut Hansard Inuktitut-English Parallel Corpus 3.0 with Preliminary Machine Translation Results.. Language Resources and Evaluation. 2562–2572. 20 indexed citations
7.
Littell, Patrick, et al.. (2019). Multi-Source Transformer for Kazakh-Russian-English Neural Machine Translation. NPARC. 267–274. 8 indexed citations
8.
9.
Littell, Patrick, et al.. (2018). Indigenous language technologies in Canada: Assessment, challenges, and successes. NPARC. 2620–2632. 19 indexed citations
10.
Littell, Patrick, Na-Rae Han, Shruti Rijhwani, et al.. (2018). Parser combinators for Tigrinya and Oromo morphology. Language Resources and Evaluation. 1 indexed citations
11.
Mortensen, David R., Siddharth Dalmia, & Patrick Littell. (2018). Epitran: Precision G2P for Many Languages.. Language Resources and Evaluation. 48 indexed citations
12.
13.
Littell, Patrick, et al.. (2017). URIEL and lang2vec: Representing languages as typological, geographical, and phylogenetic vectors. 8–14. 93 indexed citations
14.
Littell, Patrick, Tian Tian, Ruochen Xu, et al.. (2017). The ARIEL-CMU situation frame detection pipeline for LoReHLT16: a model translation approach. Machine Translation. 32(1-2). 105–126. 3 indexed citations
15.
Littell, Patrick, et al.. (2016). Named Entity Recognition for Linguistic Rapid Response in Low-Resource Languages: Sorani Kurdish and Tajik. International Conference on Computational Linguistics. 998–1006. 8 indexed citations
16.
Littell, Patrick, David R. Mortensen, Kartik Goyal, Chris Dyer, & Lori Levin. (2016). Bridge-Language Capitalization Inference in Western Iranian: Sorani, Kurmanji, Zazaki, and Tajik. Language Resources and Evaluation. 3318–3324. 5 indexed citations
17.
Mortensen, David R., et al.. (2016). PanPhon: A Resource for Mapping IPA Segments to Articulatory Feature Vectors. International Conference on Computational Linguistics. 3475–3484. 52 indexed citations
18.
Shen, Qinlan, et al.. (2016). The Role of Context in Neural Morphological Disambiguation.. International Conference on Computational Linguistics. 181–191. 12 indexed citations
19.
Littell, Patrick, Kaitlyn M. Price, & Lori Levin. (2014). Morphological parsing of Swahili using crowdsourced lexical resources. Language Resources and Evaluation. 3333–3339. 4 indexed citations
20.
Littell, Patrick, Lori Levin, Jason Eisner, & Dragomir Radev. (2013). Introducing Computational Concepts in a Linguistics Olympiad. 18–26. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Tanel Alumäe Breakdown of academic impact, for papers by Julie Carson-Berndsen Breakdown of academic impact, for papers by Laurent Besacier Breakdown of academic impact, for papers by Benoît Sagot Breakdown of academic impact, for papers by Robert Östling Breakdown of academic impact, for papers by Richard Winski Breakdown of academic impact, for papers by Konstantinos Koumpis Breakdown of academic impact, for papers by Katharina Kann Breakdown of academic impact, for papers by Christo Kirov Breakdown of academic impact, for papers by Johannes Bjerva
Rankless by CCL
2026