NYNR
Third-party notices / Avisos de terceiros
NYNR uses third-party lexical and frequency data. Open the language section below for its complete attribution and notices. / O NYNR usa dados lexicais e de frequência de terceiros. Abra a seção do idioma abaixo para consultar os avisos e créditos completos.
English ESDB · wordfreq
English Speller Database (ESDB)
Source: github.com/en-wl/wordlist
NYNR's ESDB-derived assets are generated from ESDB v2. The complete upstream copyright notice used by NYNR is reproduced below.
Copyright 2000-2026 by Kevin Atkinson Permission to use, copy, modify, distribute, and sell any part of the English Speller Database (ESDB, previously known as SCOWLv2), or word lists created from it, is hereby granted without fee, provided that the above copyright notice appears in all copies and that both the above copyright notice and this notice appear in supporting documentation. Kevin Atkinson makes no representations about the suitability of this database for any purpose. It is provided "as is" without express or implied warranty. ESDB is derived from many sources, most of which are in the Public Domain. Data from the Corpus of Contemporary American English (COCA) was also used. All data from COCA comes from 3-gram data that is not freely available; however, the usage is within the rights given by the NDA that was signed when purchasing the data. More information on COCA is available at https://www.english-corpora.org/coca/. The primary source of words for ESDB comes from 12dicts and ENABLE2K. Both are in the Public Domain, but Alan Beale <[email protected]> deserves special credit as he is the author of 12dicts and a major contributor to ENABLE2K. In addition, he gave me an incredible amount of feedback and created a number of special lists in order to help improve the overall quality of ESDB. === If you are using an official speller dictionary created by ESDB that is not Australian English, then no additional copyright applies and including the notice before the === is sufficient. If you are using the Australian English dictionary or a wordlist that uses the 'D' SPELLING code and/or the 'AU' REGION code, the copyright after '=== AU' applies. If you are using a generated word list larger than 80, the copyright after '=== UKACD' applies. If you are distributing the database or results from the database that is not a speller dictionary or generated word list, then both copyrights may apply depending on the parts you use. In addition, the WordNet copyright MIGHT apply as WordNet was one of many sources used for the initial POS assignment. === AU The initial information for Australian English comes from Benjamin Titze: Copyright 2016 by Benjamin Titze Permission to use, copy, modify, distribute and sell this array, the associated software, and its documentation for any purpose is hereby granted without fee, provided that the above copyright notice appears in all copies and that both that copyright notice and this permission notice appear in supporting documentation. Benjamin Titze makes no representations about the suitability of this array for any purpose. It is provided "as is" without express or implied warranty. === UKACD Some words used come from the UK Advanced Cryptics Dictionary: Copyright (c) J Ross Beresford 1993-1999. All Rights Reserved. The following restriction is placed on the use of this publication: if The UK Advanced Cryptics Dictionary is used in a software package or redistributed in any form, the copyright notice must be prominently displayed and the text of this document must be included verbatim. There are no other restrictions: I would like to see the list distributed as widely as possible. === WordNet WordNet was used to help with the initial POS assignment: This software and database is being provided to you, the LICENSEE, by Princeton University under the following license. By obtaining, using and/or copying this software and database, you agree that you have read, understood, and will comply with these terms and conditions.: Permission to use, copy, modify and distribute this software and database and its documentation for any purpose and without fee or royalty is hereby granted, provided that you agree to comply with the following copyright notice and statements, including the disclaimer, and that the same appear on ALL copies of the software, database and documentation, including modifications that you make for internal use or for distribution. WordNet 1.6 Copyright 1997 by Princeton University. All rights reserved. THIS SOFTWARE AND DATABASE IS PROVIDED "AS IS" AND PRINCETON UNIVERSITY MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, PRINCETON UNIVERSITY MAKES NO REPRESENTATIONS OR WARRANTIES OF MERCHANT- ABILITY OR FITNESS FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE, DATABASE OR DOCUMENTATION WILL NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER RIGHTS. The name of Princeton University or Princeton may not be used in advertising or publicity pertaining to distribution of the software and/or database. Title to copyright in this software, database and any associated documentation shall at all times remain with Princeton University and LICENSEE agrees to preserve same.
wordfreq
Source: github.com/rspeer/wordfreq
NYNR uses wordfreq 3.1.1 to rank nine-letter daily-word candidates by estimated English usage frequency.
The wordfreq software is redistributable under the Apache License. Its included frequency data may be redistributed under Creative Commons Attribution-ShareAlike 4.0 and incorporates data from sources credited by the project, including Google Books Ngrams, the Leeds Internet Corpus, Wikipedia, ParaCrawl, OPUS OpenSubtitles, and SUBTLEX word-frequency lists.
Daily Words and related derived schedule data are derived in part from wordfreq by Robyn Speer (Copyright 2022 Robyn Speer) and are distributed under the Creative Commons Attribution-ShareAlike 4.0 International License. Modified for NYNR through filtering, ranking, solvability analysis, and deterministic scheduling.
This license declaration applies to the identified derived data, not to NYNR application code or unrelated project assets.
Português PortiLexicon-UD · FrequencyWords · wordfreq
PortiLexicon-UD
Fonte: github.com/LuceleneL/PortiLexicon-UD
O conjunto lexical em português do NYNR é derivado do arquivo WORDmaster.txt na revisão fixada 315e063da1f89c89e2097c6e72428ebefb9ab1d1.
O PortiLexicon-UD é de Lucelene Lopes, Magali Duran, Paulo Fernandes e Thiago Pardo. A referência do projeto é:
Lopes, L., Duran, M., Fernandes, P., and Pardo, T. (2022). PortiLexicon-UD: a Portuguese lexical resource according to Universal Dependencies model. Proceedings of LREC 2022, pages 6635-6643.
O repositório no GitHub inclui uma licença MIT para o contexto de software e conteúdo do repositório. A distribuição oficial do léxico PortiLexicon identifica os dados lexicais sob a Creative Commons Attribution 4.0 International (CC BY 4.0). O NYNR trata os dados lexicais derivados de WORDmaster.txt sob essa licença CC BY 4.0.
Licença do repositório: MIT
FrequencyWords - Português Brasileiro
Fonte: github.com/hermitdave/FrequencyWords
O NYNR usa a lista de frequência pt_br_full.txt de 2018 na revisão fixada 525f9b560de45753a5ea01069454e72e9aa541c6. O FrequencyWords declara seu conteúdo gerado sob a Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0). As listas de 2018 são derivadas do OpenSubtitles 2018.
Os dados de frequência são associados à grafia original do PortiLexicon antes da remoção de diacríticos pelo NYNR. A frequência determina a grafia representativa usada nas chaves de jogo quando várias grafias portuguesas se tornam iguais depois da remoção dos acentos. Evidência positiva no FrequencyWords também forma a base do vocabulário comum em português.
O dicionário em português resultante, a análise de candidatos, o conjunto final da Palavra do Dia, o calendário determinístico e os dados de execução derivados relacionados são distribuídos sob CC BY-SA 4.0.
Esta declaração de compartilhamento pela mesma licença se aplica aos dados derivados identificados, não ao código do aplicativo NYNR nem a recursos não relacionados.
wordfreq - classificação secundária
Fonte: github.com/rspeer/wordfreq
O NYNR usa wordfreq 3.1.1 como evidência secundária apenas para palavras portuguesas aceitas pelo PortiLexicon que não aparecem no FrequencyWords. Entradas com frequência Zipf em português de pelo menos 3,00 são resgatadas para o vocabulário comum antes que o restante seja classificado como Palavras Proibidas.
O software wordfreq é redistribuível sob a licença Apache. Os dados de frequência incluídos podem ser redistribuídos sob a Creative Commons Attribution-ShareAlike 4.0.
A classificação derivada se aplica aos dados identificados, não ao código do aplicativo NYNR nem a recursos não relacionados.