There are different ways in which CorCenCC can be accessed. Click the links below to:

Access full corpus

The published CorCenCC dataset includes 13,487,210 tokens (circa 11-million-words). Tokens are the smallest unit contained within a corpus, which includes words (i.e. items starting with a letter of the alphabet) and nonwords (i.e. items starting with a character that is not a letter of the alphabet).

The data in CorCenCC represents a wide range of contexts, genres and topics. For a detailed breakdown of this composition, see Knight, Morris and Fitzpatrick (2021). This data has, as far as possible, been anonymised using a combination of manual and automated techniques, and has been fully tagged in terms of part-of-speech (POS) and semantic categories. The POS and semantic tagging was carried out using CyTag and SemCyTag tools, available from CorCenCC’s GitHub website.

To request a copy of the CorCenCC corpus, please click here. The CorCenCC dataset is licensed under Creative Commons Attribution Non Commercial Share Alike 4.0 International. The associated software tools are licensed under Creative Commons CC-BY-SA v4 and thus are freely available for use by professional communities and individuals with an interest in language. When reporting information derived by using the CorCenCC corpus data and/or tools, CorCenCC should be appropriately acknowledged. Citation details are available here. Full documentation for this corpus, including details of the CorCenCC transcription conventions, metadata descriptors and corpus taxonomy are also found on CorCenCC’s GitHub site.

Existing corpus analysis tools can be used to carry out some basic analyses of CorCenCC (although please note that they may not support all functionalities for Welsh-language data). Such tools include: AntConc, WMatrix, CQPWeb, and #LancsBox, all of which are freely available.

A variety of different Welsh language utilities, many of which can be used with the CorCenCC corpus dataset, are available from Canolfan Bedwyr at Bangor University.
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Explore CorCenCC online

A beta version of CorCenCC’s bilingual corpus query tools, with complete user guide, is available through the Explore tab of this website. This includes the following functionalities:

  • Simple Query: to explore any word and/or lemma form in the corpus, and one or many part-of-speech (POS) tags, mutation types, or semantic category tags of a specific word and/or lemma. A randomised selection of results are presented in a KWIC (Key Word in Context) output. Results can then be filtered of results by mode, geographical area, context, genre, topic, target audience and source.
  • Full Query: used to search for longer sequences of patterns (multi-word expressions) separated by spaces, using CorCenCC’s bespoke query syntax. Results are presented in a KWIC (Key Word in Context) output, which can be filtered according to mode, geographical area, context, genre, topic, target audience and source.
  • Frequency List: produces a list of words or lemmas in the corpus, ranked according to frequency of occurrence.
  • N-Gram Analysis: lists patterns of n-grams/clusters of 2-7 words, lemmas, or POS in the corpus, ranked according to frequency of occurrence.
  • Keyword Analysis: displaying words that are unusually frequent in one sub-set of the corpus compared with a different ‘reference’ sub-set of the corpus.
  • Collocation Analysis: displaying information on the relationships between word types that appear together within a given context window. [Functionality available soon]

CorCenCC’s accompanying pedagogic tools are available through the Y Tiwtiadur tab of this website.

All data in CorCenCC has been fully tagged in terms of part-of-speech (POS) and semantic category. These tags are fully searchable within the corpus and, in the case of Simple and Full Queries, POS-tags are also colour coded to ease the examination of patterns in query results. All data is also categorised according to its context of use, genre, topic etc., enabling users to examine patterns within/across specific types of text and demographic information in the corpus. Details of tags and taxonomies used, are available in the user guide on the main query tools page and via CorCenCC’s GitHub site.

Results from analyses using the query tools may contain tags where data has been anonymised, or (for spoken data) where transcription conventions have been used.  Anonymisation tags include:

Personal names                      <anon> enwg1 </anon> – first male name

<anon> enwb1 </anon> – first female name

Phone numbers                       <anon> Rhif ffôn </anon>

Email addresses                      <anon> cyfeiriad e-bost </anon>

Personal addresses              <anon> cyfeiriad </anon>

Spoken data was transcribed using CorCenCC’s bespoke transcription conventions. Examples include:

<S4> Rydym ni yn defnyddio ein trwyna’ i arogli. <arogli i mewn yn sydyn> Pan ym mae ‘da fi anwyd mae fy nhrwyn i’n mynd yn goch ac <=> mae </=> mae fel yn rhedag trwy’r amser.

Here, <S4> denotes the speakers in the conversation, <=> mae </=> indicates a repeated word in the conversation.

<S1> Boeth. A’r hen athrawon ‘na’n mynd fyny ac i lawr yn mynd <griddfan>.

<S2> <Chwerthin>. Gwrando ar y+

<S1> Ti’n cofio hyna <anon>enwb3</anon>?

<S2> +Gwrando ar y cloc yn tician.

Here the use of ‘+’ indicates when a speaker interrupts another speaker in the conversation – so they talk at the same time. The use of <anon>enwb3</anon> signals that a personal name has been anonmyised. Finally, <Chwerthin> indicates that the speaker is laughing and <griddfan> indicates a groan.

To familiarise yourself with the conventions and tags used in the corpus, please read the transcription conventions and taxonomy information available on CorCenCC’s GitHub site.
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