{"schema":1,"version":"poople-frequency-2026-10-20-1","source":"wordfreq 3.1.1, Robyn Speer; English large list; usage snapshot through approximately 2021","sourceUrl":"https://github.com/rspeer/wordfreq","sourceDataSha256":"dffae8066b78dce0a6667cf5f58e567054f902674667090a7ac8a8a44628b05c","citation":"Robyn Speer (2022), wordfreq v3.0, https://doi.org/10.5281/zenodo.7199437","license":"CC-BY-SA-4.0","licenseUrl":"https://creativecommons.org/licenses/by-sa/4.0/","attribution":"Derived from wordfreq by Robyn Speer. Includes freely available SUBTLEX data by Marc Brysbaert et al.; Google Books Ngrams; Leeds Internet Corpus; Wikipedia; ParaCrawl; OPUS OpenSubtitles/OpenSubtitles. See embedded upstream notices. No endorsement is implied.","changes":"Filtered to the site four-letter vocabulary plus POOP; Zipf values multiplied by 100 and rounded. Common means score >= 350, an editorial threshold, not official game acceptance.","upstreamNotices":{"LICENSE.txt":"Copyright 2022 Robyn Speer\n\nLicensed under the Apache License, Version 2.0 (the \"License\");\nyou may not use this file except in compliance with the License.\nYou may obtain a copy of the License at\n\n http://www.apache.org/licenses/LICENSE-2.0\n\nUnless required by applicable law or agreed to in writing, software\ndistributed under the License is distributed on an \"AS IS\" BASIS,\nWITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\nSee the License for the specific language governing permissions and\nlimitations under the License.\n","data-attribution-and-citations":"## License\n\n`wordfreq` is freely redistributable under the Apache license (see\n`LICENSE.txt`), and it includes data files that may be\nredistributed under a Creative Commons Attribution-ShareAlike 4.0\nlicense ().\n\n`wordfreq` contains data extracted from Google Books Ngrams\n() and Google Books Syntactic Ngrams\n().\nThe terms of use of this data are:\n\n Ngram Viewer graphs and data may be freely used for any purpose, although\n acknowledgement of Google Books Ngram Viewer as the source, and inclusion\n of a link to http://books.google.com/ngrams, would be appreciated.\n\n`wordfreq` also contains data derived from the following Creative Commons-licensed\nsources:\n\n- The Leeds Internet Corpus, from the University of Leeds Centre for Translation\n Studies ()\n\n- Wikipedia, the free encyclopedia ()\n\n- ParaCrawl, a multilingual Web crawl ()\n\nIt contains data from OPUS OpenSubtitles 2018\n(), whose data originates from the\nOpenSubtitles project () and may be used with\nattribution to OpenSubtitles.\n\nIt contains data from various SUBTLEX word lists: SUBTLEX-US, SUBTLEX-UK,\nSUBTLEX-CH, SUBTLEX-DE, and SUBTLEX-NL, created by Marc Brysbaert et al.\n(see citations below) and available at\n.\n\nI (Robyn Speer) have obtained permission by e-mail from Marc Brysbaert to\ndistribute these wordlists in wordfreq, to be used for any purpose, not just\nfor academic use, under these conditions:\n\n- Wordfreq and code derived from it must credit the SUBTLEX authors.\n- It must remain clear that SUBTLEX is freely available data.\n\nThese terms are similar to the Creative Commons Attribution-ShareAlike license.\n\nSome additional data was collected by a custom application that watches the\nstreaming Twitter API, in accordance with Twitter's Developer Agreement &\nPolicy. This software gives statistics about words that are commonly used on\nTwitter; it does not display or republish any Twitter content.\n\n## Citing wordfreq\n\nIf you use wordfreq in your research, please cite it! We publish the code\nthrough Zenodo so that it can be reliably cited using a DOI. The current\ncitation is:\n\n> Robyn Speer. (2022). rspeer/wordfreq: v3.0 (v3.0.2). Zenodo. https://doi.org/10.5281/zenodo.7199437\n\nThe same citation in BibTex format:\n\n```\n@software{robyn_speer_2022_7199437,\n author = {Robyn Speer},\n title = {rspeer/wordfreq: v3.0},\n month = sep,\n year = 2022,\n publisher = {Zenodo},\n version = {v3.0.2},\n doi = {10.5281/zenodo.7199437},\n url = {https://doi.org/10.5281/zenodo.7199437}\n}\n```\n\n## Citations to work that wordfreq is built on\n\n- Bojar, O., Chatterjee, R., Federmann, C., Haddow, B., Huck, M., Hokamp, C.,\n Koehn, P., Logacheva, V., Monz, C., Negri, M., Post, M., Scarton, C.,\n Specia, L., & Turchi, M. (2015). Findings of the 2015 Workshop on Statistical\n Machine Translation.\n \n\n- Brysbaert, M. & New, B. (2009). Moving beyond Kucera and Francis: A Critical\n Evaluation of Current Word Frequency Norms and the Introduction of a New and\n Improved Word Frequency Measure for American English. Behavior Research\n Methods, 41 (4), 977-990.\n \n\n- Brysbaert, M., Buchmeier, M., Conrad, M., Jacobs, A.M., Bölte, J., & Böhl, A.\n (2011). The word frequency effect: A review of recent developments and\n implications for the choice of frequency estimates in German. Experimental\n Psychology, 58, 412-424.\n\n- Cai, Q., & Brysbaert, M. (2010). SUBTLEX-CH: Chinese word and character\n frequencies based on film subtitles. PLoS One, 5(6), e10729.\n \n\n- Davis, M. (2012). Unicode text segmentation. Unicode Standard Annex, 29.\n \n\n- Halácsy, P., Kornai, A., Németh, L., Rung, A., Szakadát, I., & Trón, V.\n (2004). Creating open language resources for Hungarian. In Proceedings of the\n 4th international conference on Language Resources and Evaluation (LREC2004).\n \n\n- Keuleers, E., Brysbaert, M. & New, B. (2010). SUBTLEX-NL: A new frequency\n measure for Dutch words based on film subtitles. Behavior Research Methods,\n 42(3), 643-650.\n \n\n- Kudo, T. (2005). Mecab: Yet another part-of-speech and morphological\n analyzer.\n \n\n- Lin, Y., Michel, J.-B., Aiden, E. L., Orwant, J., Brockman, W., and Petrov,\n S. (2012). Syntactic annotations for the Google Books Ngram Corpus.\n Proceedings of the ACL 2012 system demonstrations, 169-174.\n \n\n- Lison, P. and Tiedemann, J. (2016). OpenSubtitles2016: Extracting Large\n Parallel Corpora from Movie and TV Subtitles. In Proceedings of the 10th\n International Conference on Language Resources and Evaluation (LREC 2016).\n \n\n- Ortiz Suárez, P. J., Sagot, B., and Romary, L. (2019). Asynchronous pipelines\n for processing huge corpora on medium to low resource infrastructures. In\n Proceedings of the Workshop on Challenges in the Management of Large Corpora\n (CMLC-7) 2019.\n \n\n- ParaCrawl (2018). Provision of Web-Scale Parallel Corpora for Official\n European Languages. \n\n- van Heuven, W. J., Mandera, P., Keuleers, E., & Brysbaert, M. (2014).\n SUBTLEX-UK: A new and improved word frequency database for British English.\n The Quarterly Journal of Experimental Psychology, 67(6), 1176-1190.\n \n\n"},"commonThreshold":350,"commonExcluded":{"alan":"Name-like token excluded editorially from common intermediate suggestions; original frequency 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