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en:cnk:onomos [2023/12/01 15:13] – jankoceken:cnk:onomos [2025/07/15 16:21] (current) – OnomOs v2 jeziorsky
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-====== OnomOs Corpus ======+====== The OnomOs v1 a OnomOs v2 corpora ======
  
-The OnomOs corpus is a linguistically processed database of texts from the periodicals Rudé právo (published 1920–1995) and Právo (1995–present). It always contains one issue from each decade in which (Rudé) Právo was published. The corpus includes texts in which the language component dominates; therefore, not included are, for example, advertisements, cinema, theatre and radio programmes, some types of texts from the sports section (e.g. scoreboards and player rosters), comics or crossword puzzles. The structure of the corpus is presented in more detail in Figure 1. In total, the corpus contains 255 149 tokens. +The OnomOs v1 and OnomOs v2 corpora are linguistically processed databases of texts from the periodicals Rudé právo (published 1920–1995) and Právo (1995–present). The OnomOs v1 corpus includes one randomly selected issue from each decade in which Rudé právo was published. The composition of the corpus is detailed in Figure 1; the corpus contains a total of 255,149 tokens.
  
-[{{:cnk:onomos_graf.png?direct&700|}}] +The OnomOs v2 corpus includes all the texts from the OnomOs v1 corpus, plus an additional issue from each five-year period that is not represented in the randomly selected issues of OnomOs v1. For example, if an issue of Rudé právo from March 12, 1979 was selected for the 1970s in the OnomOs v1 corpus, then OnomOs v2 adds another issue randomly selected from the 1970–1974 five-year period. Decades are defined as commonly referred to in colloquial usage of “-ties”; for example, the 1970s (“seventies”) are defined as the period from 1970 to 1979. Figure 2 illustrates the issues that were added to the OnomOs v2 corpus as compared to the OnomOs v1 corpus. Its total size of the corpus is 505,102 tokens.
-**Figure 1** – OnomOs corpus structure (in tokens)+
  
-A specific feature of the corpus is the tagging of proper names, which could serve as a methodological basis for similar projects in the future. The annotation was done using the NameTag 2 software (Straková - Straka - Hajič, 2019; Ševčíková - Žabokrtský - Krůza, 2007; see here: https://ufal.mff.cuni.cz/nametag/2). However, the classification used by NameTag 2 was modified to be in line with the linguistic or onomastic conception of proper names (see Šrámek, 1999 and the relevant entries in the New Encyclopedic Dictionary of Czech Online: Karlík - Nekula - Pleskalová, 2017) and with current onomastic terminology. Its basis are higher-order categories, represented by anthroponyms (personal names; A), toponyms (place names/names; T) and chrématonyms (names of human products and creations; C). Each of these categories is subdivided into lower order categories (e.g. AF - family names, TT - names of territories, CF - names of companies and societies).The two-letter coding of the lower-order categories is based on their English names or similar terms (e.g. currencies are designated as CM after "money"); the letters "X" and "Y" are reserved for underspecified groups (e.g. CX). Outside the classification are terms with numerals (n), including numbers in addresses (a), and some other categories that are not considered proper nouns in the Czech tradition (e-mail addresses [me], Internet references [mi], units of measurement [oe], academic titles [pd], and most temporal terms, e.g. names of months [tm]). The transformations of NameTag 2 categories into new, onomastic classes are comprehensively presented in Table 1.+The corpora include texts dominated by the linguistic component; therefore, advertisements, theatre, cinema, and radio programs, certain types of sports section texts (e.g., results overviews and player rosters), comics, and crossword puzzles were excluded.
  
-^**Higher-order category\\ (NameTag 2)**^**Lower-order category\\ (NameTag 2)** ^**Lower-order category\\ (OnomOs)**      ^**Higher-order category\\ (OnomOs)**^+[{{:cnk:onomos_v1_graf.png?direct&700|}}] 
 + 
 +**Figure 1** – The OnomOs v1 corpus structure (in tokens) 
 + 
 +[{{:cnk:onomos_v2_graf.png?direct&700|}}] 
 + 
 +**Figure 2** – The structure of the parts added to the OnomOs v2 corpus (in tokens) 
 + 
 +A characteristic feature of the corpora is the tagging of proper names, which could serve as a methodological foundation for similar projects in the future. For the OnomOs v1 corpus, the annotation was performed using the NameTag 2 software (Straková – Straka – Hajič, 2019; Ševčíková – Žabokrtský – Krůza, 2007; see here: https://ufal.mff.cuni.cz/nametag/2), while the OnomOs v2 corpus utilized the NameTag 3 software (Straková – Straka, 2025; see here: https://ufal.mff.cuni.cz/nametag/3). Thus, the annotations of both corpora may slightly differ from each other. 
 + 
 +The classification of proper names used by NameTag 2 and 3 has, however, been adjusted to align with the linguistic and onomastic concepts of proper names (see Šrámek, 1999, and relevant entries in the New Encyclopedic Dictionary of the Czech Language online: Karlík – Nekula – Pleskalová, 2017) and contemporary onomastic terminology. The basis of this classification consists of higher-order categories, represented by anthroponyms (personal names; A), toponyms (place names; T), and chrematonyms (names of human-made products and creations; C). Each of these categories is further divided into lower-order categories (e.g., AF – first names, TT – names of territories, CF – names of companies and corporations). The two-letter coding for lower-order categories is derived from their English names or closely related terms (e.g., currencies are labelled as CM, based on the English word "money"); the letters "X" and "Y" are reserved for less specified groups (underspecified; e.g., CX). Expressions with numerals (n), including numbers in addresses (a), and some other categories not considered proper names in Czech tradition (e.g., email addresses [me], internet links [mi], measurement units [oe], academic titles [pd], and most time expressions, such as names of months [tm]) are excluded from the classification. The transformation of the NameTag 2 and 3 categories into the new onomastic classes is comprehensively presented in Table 1. 
 + 
 +^**Higher-order category\\ (NameTag 2 and 3)**^**Lower-order category\\ (NameTag 2 and 3)** ^**Lower-order category\\ (OnomOs)**      ^**Higher-order category\\ (OnomOs)**^
 |p - Personal names                    |pf - first names                       |AF: first names                          |Antroponyma (A)                    | |p - Personal names                    |pf - first names                       |AF: first names                          |Antroponyma (A)                    |
-|         :::                          |pm - second names                      |                                         |     :::                               |+|         :::                          |pm - second names                      |       :::                               |     :::                               |
 |         :::                          |pc - inhabitant names                  |AI: inhabitants                          |     :::                              | |         :::                          |pc - inhabitant names                  |AI: inhabitants                          |     :::                              |
 |         :::                          |pp - relig./myth persons               |AM: religious and mythological names     |     :::                              | |         :::                          |pp - relig./myth persons               |AM: religious and mythological names     |     :::                              |
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 |         :::                          |p_ - underspecified                    |AX: underspecified anthroponyms          |     :::                              | |         :::                          |p_ - underspecified                    |AX: underspecified anthroponyms          |     :::                              |
 |g - Geographical names                |gl - nature areas / objects            |TN: nature names                         |Toponyma (T)                       | |g - Geographical names                |gl - nature areas / objects            |TN: nature names                         |Toponyma (T)                       |
-|         :::                          |gh - hydronyms                         |                                         |     :::                             |+|         :::                          |gh - hydronyms                         |        :::                              |     :::                             |
 |         :::                          |gq - urban parts                       |TS: settlements                          |     :::                              | |         :::                          |gq - urban parts                       |TS: settlements                          |     :::                              |
-|         :::                          |gu - cities/towns                      |                                         |     :::                             |+|         :::                          |gu - cities/towns                      |        :::                              |     :::                             |
 |         :::                          |gr - territorial names                 |TT: territories                          |     :::                             | |         :::                          |gr - territorial names                 |TT: territories                          |     :::                             |
-|         :::                          |gt - continents                        |                                         |     :::                              | +|         :::                          |gt - continents                        |        :::                              |     :::                              | 
-|         :::                          |gc - states                            |                                         |     :::                              |+|         :::                          |gc - states                            |        :::                              |     :::                              |
 |         :::                          |gs - streets, squares                  |TU: urbanonyms                           |     :::                              | |         :::                          |gs - streets, squares                  |TU: urbanonyms                           |     :::                              |
 |         :::                          |g_ - underspecified                    |TX: underspecified toponyms              |     :::                              | |         :::                          |g_ - underspecified                    |TX: underspecified toponyms              |     :::                              |
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 |t - Time expressions                  |tf - feasts                            |CH: feasts                               |     :::                              | |t - Time expressions                  |tf - feasts                            |CH: feasts                               |     :::                              |
  
-**Table 1** - modification of the sorting of proper names in NameTag 2 for the purposes of the OnomOs corpus+**Table 1** - Modification of proper name classification in NameTag 2 and 3 for the purposes of the OnomOs v1 and v2 corpora
  
-The OnomOs corpus was created by researchers of the "Ostrava Onomastic School", which focuses on the implementation of quantitative linguistic methods in the science of proper names within the research of the Department of Czech Language of the Faculty of Arts of the University of Ostrava. The project was supported by the grant project SGS02/FF/2023 //OnomOs - Ostrava Corpus of Proper Names//, which was implemented at the Faculty of Arts, University of Ostrava.+The OnomOs v1 and OnomOs v2 corpora were compiled by researchers of the "Ostrava Onomastics School," which, within the scope of the research at the Department of Czech Language, Faculty of Arts, University of Ostrava, focuses on the implementation of quantitative linguistic methods into the science of proper names. The corpora were created with the support of grant projects SGS02/FF/2023 //OnomOs – Ostrava Corpus of Proper Names// and SGS02/FF/2024 //Czech Linguistics of the 21st Century – Interviews, Topics, Analysis//, which were conducted at the Faculty of Arts, University of Ostrava.
  
-===== How to search for propria in the OnomOs corpus =====+====== How to search for names in the OnomOs v1 and v2 corpora ======
  
-Proper nouns can be searched in the OnomOs corpus using, for example, the following command in CQL (the lower-order category is indicated in quotation marks):+Proper names in the OnomOs v1 and v2 corpora can be searched using the following CQL command (lower-order categories are specified in quotation marks):
  
 '' %%[] within <ne type="TT: territories" />%% ''  '' %%[] within <ne type="TT: territories" />%% '' 
  
-The resulting concordance, which shows the territorial names, can be found in Figure 2. An abbreviated command will also suffice: +The resulting concordance, which captures territorial names in the OnomOs v1 corpus, can be found in Figure 3. A shortened command is also sufficient:
  
 '' %%[] within <ne type="TT.*" />%% '' '' %%[] within <ne type="TT.*" />%% ''
  
-If you need to search for higher-order categories, you can use, for example, the following command (the first letter of the given category – A, C, or T – is given in quotation marks):+If higher-order categories need to be searched, the following command can be used (the first letter of the category – A, C, or T – is specified in quotation marks):
  
 '' %%[] within <ne type="T.*" />%% '' '' %%[] within <ne type="T.*" />%% ''
  
-An alternative approach is to display the full frequency list of lower-order categories. In this case, search for all words in the corpus (= leave the query line empty) and select "Frequency" and "Custom..." in the bar. In the frequency distribution window, we select " According to text types" and check "ne.type". A similar procedure can also be applied when working with subcorpora (e.g., first-republic issues of Rudé právo) or when displaying the frequencies of individual lower-order categories for a selected higher-order category (e.g., toponyms; see Figure 3).+An alternative approach is to display the complete frequency list of lower-order categories. In this case, all the words in the corpus can be searched (= by leaving the query line empty), and then "Frequency" and "Custom…" are selected from the toolbar. In the frequency distribution window, select "By text types" and check "ne.type." A similar procedure can be applied when you work with subcorpora (e.g., with the interwar issues of Rudé právo) or when you wish to display the frequencies of individual lower-order categories for a selected higher-order category (e.g., toponyms; see Figure 4).
  
 [{{:cnk:onomos_konkordance.png?direct&800|}}] [{{:cnk:onomos_konkordance.png?direct&800|}}]
-**Figure 2** - concordance of all occurrences of territory names in the OnomOs corpus.+ 
 +**Figure 3** - concordance of all the occurrences of territorial names in the OnomOs v1 corpus
  
 [{{:cnk:onomos_distribuce.png?direct&800|}}] [{{:cnk:onomos_distribuce.png?direct&800|}}]
-**Figure 3** - distribution of toponym types in the OnomOs corpus.  
  
-====Citing OnomOs====+**Figure 4** - distribution of the toponym types in the OnomOs v1 corpus.  
 + 
 +====== Citing the OnomOs v1 and v2 corpora ====== 
 + 
 +<WRAP round tip 70%> 
 +David, J. – Davidová Glogarová, J. – Klemensová, T. – Místecký, M. – Jeziorský, T. – Křen, M. – Březinová, K. – Halatová, H. – Mádrová, J. – Pavlištíková, J. – Polášková, K. – Reclik, A. – Strnadlová, M. //Korpus OnomOs v1//. Ústav Českého národního korpusu FF UK, Praha 2023. Dostupný z WWW: http://www.korpus.cz. 
 +</WRAP>
  
 <WRAP round tip 70%> <WRAP round tip 70%>
-David, J. – Davidová Glogarová, J. – Klemensová, T. – Místecký, M. – Jeziorský, T. – Křen, M. – Březinová, K. – Halatová, H. – Mádrová, J. – Pavlištíková, J. – Polášková, K. – Reclik, A. – Strnadlová, M. //Korpus OnomOs//. Ústav Českého národního korpusu FF UK, Praha 2023. Dostupný z WWW: http://www.korpus.cz.+David, J. – Davidová Glogarová, J. – Jeziorský, T. – Křen, M. – Březinová, K. – Halatová, H. – Mádrová, J. – Klemensová, T. – Místecký, M. //Korpus OnomOs v2//. Ústav Českého národního korpusu FF UK, Praha 2025. Dostupný z WWW: http://www.korpus.cz.
 </WRAP> </WRAP>
  
 +====== References ======
  
-===References=== 
   * Karlík, P. – Nekula, M. – Pleskalová, J. (2017, eds.), //Nový encyklopedický slovník češtiny online//. Brno: Masarykova univerzita. Dostupný z WWW: https://www.czechency.org.   * Karlík, P. – Nekula, M. – Pleskalová, J. (2017, eds.), //Nový encyklopedický slovník češtiny online//. Brno: Masarykova univerzita. Dostupný z WWW: https://www.czechency.org.
 +  * Straková, J. – Straka, M. (2025). //NameTag 3: A Tool and a Service for Multilingual/Multitagset NER//. Dostupné z WWW: https://arxiv.org/abs/2506.05949. 
   * Straková, J. – Straka, M. – Hajič, J. (2019): Neural Architectures for Nested NER through Linearization. In: A. Korhonen – D. Traum – L. Màrquez (eds.), //Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics//. Florencie: Association for Computational Linguistics, s. 5326–5331.   * Straková, J. – Straka, M. – Hajič, J. (2019): Neural Architectures for Nested NER through Linearization. In: A. Korhonen – D. Traum – L. Màrquez (eds.), //Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics//. Florencie: Association for Computational Linguistics, s. 5326–5331.
   * Ševčíková, M., Žabokrtský, Z., Krůza, O. (2007): Named Entities in Czech: Annotating Data and Developing NE Tagger. In: V. Matoušek – P. Mautner (eds), //Text, Speech and Dialogue//. TSD 2007. Lecture Notes in Computer Science. Berlin – Heidelberg: Springer, s. 188–195.   * Ševčíková, M., Žabokrtský, Z., Krůza, O. (2007): Named Entities in Czech: Annotating Data and Developing NE Tagger. In: V. Matoušek – P. Mautner (eds), //Text, Speech and Dialogue//. TSD 2007. Lecture Notes in Computer Science. Berlin – Heidelberg: Springer, s. 188–195.

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