Computational Linguist for Diachronic Language Development
3 days ago
The postdoctoral researcher's primary role will be to develop and implement NLP methodologies that can aid the team in effectively retrieving, processing, analyzing, and interpreting relevant historical documents. Most of these documents are available as scans of printed originals and were written in several languages.
- Develop and apply NLP methodologies to historical texts in several languages.
- Collaborate with historians, computational linguists, or digital humanities researchers to ensure the successful integration of NLP techniques into historical research.
- Publish research findings in peer-reviewed journals and present at international conferences.
- A Ph.D. in Computer Science, Computational Linguistics, Computational Social Science, or a related field with a focus on NLP.
- Demonstrated expertise in key NLP methodologies, including but not limited to:
- Text preprocessing (tokenization, stemming, lemmatization)
- OCR post correction
- Named Entity Recognition (NER)
- Part-of-Speech (POS) tagging
- Syntactic and semantic parsing
- Machine learning approaches (supervised, unsupervised, and reinforcement learning)
- Deep learning techniques (RNNs, CNNs, Transformers)
- Information retrieval and extraction
- Sentiment analysis
- Topic modeling
- Interpretable NLP
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Copenhagen, Copenhagen, Denmark Københavns Universitet Full timePostdoctoral position in Natural Language Processing applied to Historical Research at the Faculty of Humanities, University of Copenhagen The Saxo Institute, Faculty of Humanities, University of Copenhagen (UCPH), is pleased to announce an opening for a Postdoctoral Researcher in the field of Natural Language Processing (NLP) with a focus on multilingual...
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Copenhagen, Copenhagen, Denmark Københavns Universitet Full timeAbout the ProjectThe Saxo Institute, Faculty of Humanities, University of Copenhagen, is pleased to announce an opening for a Postdoctoral Researcher in the field of NLP with a focus on multilingual historical texts from 1600 to 1900. Our team works to advance our understanding of the diachronic development of gendered and racialized language in historical...
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Historical Text Analysis Postdoc in NLP
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