Patrick Littell

1.1k citations
33 papers · 669 · h-index 11

Impact in

    • Natural Language Processing Techniques
    • Topic Modeling
    • Speech Recognition and Synthesis
    • Speech and dialogue systems
    • Text Readability and Simplification
    • Linguistic Variation and Morphology

Papers in

Patrick Littell

28 papers receiving 572 citations

Peers

Patrick Littell
Comparison fields: 5 of 42
  • Artificial Intelligence 576
  • Linguistics and Language 49
  • Signal Processing 72
  • Cultural Studies 39
  • Computer Vision and Pattern Recognition 96
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Patrick Littell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Patrick Littell Line = papers co-authored together Patrick Littell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017123
2 2019119
3 202070
4
Indigenous language technologies in Canada: Assessment, challenges, and successes
201868
5 201860
6
PanPhon: A Resource for Mapping IPA Segments to Articulatory Feature Vectors
201658
7
The Nunavut Hansard Inuktitut-English Parallel Corpus 3.0 with Preliminary Machine Translation Results.
202022
8 201822
9 201619
10
The Role of Context in Neural Morphological Disambiguation.
201613
11 202013
12 201911
13
Named Entity Recognition for Linguistic Rapid Response in Low-Resource Languages: Sorani Kurdish and Tajik
20168
14 20227
15 20177
16 20187
17 20206
18 20166
19 20176
20 20174

About Patrick Littell

Patrick Littell is a scholar working on Artificial Intelligence, Language and Linguistics, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Linguistics and Language, having authored 33 papers that have together received 669 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (28 papers), Topic Modeling (24 papers), Speech Recognition and Synthesis (7 papers), Text Readability and Simplification (6 papers), Multimodal Machine Learning Applications (5 papers), Phonetics and Phonology Research (3 papers), Lexicography and Language Studies (2 papers) and Interpreting and Communication in Healthcare (2 papers). The work is most often cited by research in Artificial Intelligence (576 citations), Linguistics and Language (49 citations), Signal Processing (72 citations), Cultural Studies (39 citations) and Computer Vision and Pattern Recognition (96 citations). Patrick Littell has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include David R. Mortensen, Lori S. Levin, Siddharth Dalmia, Chris Dyer, Graham Neubig, Antonios Anastasopoulos, Roland Kühn, Kartik Goyal, Christopher Cox and Antti Arppe. Their work appears in journals such as Language Resources and Evaluation, Computer Speech & Language, Machine Translation, Lecture notes in computer science and NPARC.

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.

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