The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Improvements in Part-of-Speech Tagging with an Application to German
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
(1992) · Cited by 23,431
Building a Large Annotated Corpus of English: The Penn Treebank
Marcus, M. (1993) · doi:10.21236/ada273556 · Cited by 7,405
(2013) · Springer eBooks · Cited by 2,625
De Roeck, A. (1995) · Handbook of Pragmatics · doi:10.1075/hop.m.comm2 · Cited by 1,715
Estimation of probabilities from sparse data for the language model component of a speech recognizer
Katz, S. (1987) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/tassp.1987.1165125 · Cited by 1,637
A simple rule-based part of speech tagger
Brill, E. (1992) · Proceedings of the third conference on Applied natural language processing - · doi:10.3115/974499.974526 · Cited by 1,413
Machine learning: An artificial intelligence approach
Hunt, E. (1983) · Journal of Mathematical Psychology · doi:10.1016/0022-2496(83)90037-8 · Cited by 1,349
Learning Efficient Classification Procedures and Their Application to Chess End Games
Quinlan, J. R. (1983) · Machine Learning · doi:10.1007/978-3-662-12405-5_15 · Cited by 1,178
Interpolated estimation of Markov source parameters from sparse data
Jelinek, F. (1980) · Medical Entomology and Zoology · Cited by 823
A practical part-of-speech tagger
Cutting, D., Kupiec, J., Pedersen, J., & Sibun, P. (1992) · Proceedings of the third conference on Applied natural language processing - · doi:10.3115/974499.974523 · Cited by 618
Cited by
Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition
Tjong Kim Sang, E. F., & De Meulder, F. (2003) · Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - · doi:10.3115/1119176.1119195 · Cited by 2,788
TnT: a statistical part-of-speech tagger
Brants, T. (2000) · Proceedings of the sixth conference on Applied natural language processing - · doi:10.3115/974147.974178 · Cited by 1,329
Automatic term identification for bibliometric mapping
van Eck, N. J., Waltman, L., Noyons, E. C. M., & Buter, R. K. (2010) · Scientometrics · doi:10.1007/s11192-010-0173-0 · Cited by 264
Wise reasoning benefits from emodiversity, irrespective of emotional intensity.
Grossmann, I., Oakes, H., & Santos, H. C. (2019) · Journal of Experimental Psychology: General · doi:10.1037/xge0000543 · Cited by 85
Modeling embodied feedback with virtual humans,
Kopp, S., Allwood, J., Grammer, K., Ahlsen, E., & Stocksmeier, T. (2008) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-79037-2_2 · Cited by 71
Metadata
- Authors
- Schmid, H.
- Venue
- Text, Speech and Language Technology
- Publisher
- Springer Netherlands
- Published
- 1999
- Pages
- 13-25
- ISSN
- 1386-291X (ISSN-L)
- OpenAlex
- W1522263329
- Cited by
- 819
- References
- 13
- FWCI
- 17.97
- Type
- book chapter
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Improvements in Part-of-Speech Tagging with an Application to German. https://app.cochat.ai/papers/10.1007/978-94-017-2390-9_2
- The paper
- Schmid, H. (1999). Improvements in Part-of-Speech Tagging with an Application to German. Text, Speech and Language Technology. https://doi.org/10.1007/978-94-017-2390-9_2
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
