Survey on information requirements on the Google Books Ngram Corpus

Abstract The development of word frequencies over time is the subject of research in different branches of the humanities. Large temporal n-gram corpora have been created for this purpose, most notably the Google Books Ngram Corpus . While the concrete research questions vary between the different research works, there are similarities in the more abstract underlying information requirements, i.e., the structure of queries against a potential database system. Based on a systematic literature review, we extract these information requirements, leading to a categorization of existing articles into macro-areas of information requirements. Furthermore, we collect existing query systems for temporal n-gram corpora and evaluate their expressiveness regarding the information requirements we found.

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Publication Details

Journal
International Journal of Digital Humanities
Published
2025-12-08
DOI
https://doi.org/10.1007/s42803-025-00113-9
Citations
1
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
2.48
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article

Survey on information requirements on the Google Books Ngram Corpus

P. Reimann, Klemens Böhm, Fabian Richter, Federico Matteucci
1 citations
International Journal of Digital Humanities
Natural Language Processing Techniques
2.48
article

Survey on information requirements on the Google Books Ngram Corpus

P. Reimann, Klemens Böhm, Fabian Richter, Federico Matteucci
article en
1 citations

Abstract

Abstract The development of word frequencies over time is the subject of research in different branches of the humanities. Large temporal n-gram corpora have been created for this purpose, most notably the Google Books Ngram Corpus . While the concrete research questions vary between the different research works, there are similarities in the more abstract underlying information requirements, i.e., the structure of queries against a potential database system. Based on a systematic literature review, we extract these information requirements, leading to a categorization of existing articles into macro-areas of information requirements. Furthermore, we collect existing query systems for temporal n-gram corpora and evaluate their expressiveness regarding the information requirements we found.

International Journal of Digital HumanitiesVol. 7(3)
Karlsruhe Institute of Technology (DE)
Openalex Percentile: Top 8%
Natural Language Processing Techniques
2.48
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Survey on information requirements on the Google Books Ngram Corpus — P. Reimann, Klemens Böhm, et al. · International Journal of Digital Humanities (2025) | TGRS Research Map | TGRS