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MODULE_NAME

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Template setup — remove this note once done. This template does not include .github/workflows/notify-docs-site.yml, since a module only needs it once it's actually been added to docs-site/antora-playbook.yml's content.sources (dispatching a rebuild before that point is a no-op). Once your module is wired in there, copy notify-docs-site.yml from another module repo (e.g. KIParla/ParlaBO) into .github/workflows/, and add the DOCS_SITE_TOKEN secret to this repo (Settings → Secrets and variables → Actions) — see the copied file's header comment.

MODULE_NAME is part of the larger KIParla collection, which can be freely queried through the NoSketch Engine interface.

MODULE_DESCRIPTION

Repository organization

This repository contains:

For each conversation you will find:

  • .eaf file in eaf/ folder: time-aligned Jefferson-style transcriptions (open with ELAN).
  • .txt file in linear-jefferson/ folder: linearized Jefferson-style transcription.
  • .txt file in linear-orthographic/ folder: linearized transcription retaining only orthographic words.
  • .tsv file in tsv/ folder: verticalized version of the transcription, with Jefferson-style information decoupled from the text as features. See Verticalized content for more information.

Linear files in linear-jefferson/ and linear-orthographic/ contain one Transcription Unit (TU) per line. Each line has two columns: the first is the speaker code, and the second is the transcription. TUs are sorted by their start time.

Metadata

Each participant and each conversation are associated to a series of metadata, that can be found in the metadata/participants.tsv and metadata/conversations.tsv files. Metadata is to be interpreted as follows:

  1. Participants metadata:

    • code: unique anonymized 5-char identifier for each participant. Unknown, occasional participants to conversations are associated with a special ??? code.
    • gender: either M for masculine or F for feminine
    • age-range: 5 years range including the participant's age.
    • birth-region: Italian region1 where the participant was born. If outside Italy, the label estero is used.
    • occupation: occupation of the participant, according to ISTAT categories. For more information see occupation label
    • study-level: highest completed level of education2
    • L1: participant's first language, can be either italian, dialect or other.
    • Additionally, the metadata/participants.tsv also contains a conversations column that summarizes the conversations in which the participant appears.
  2. Conversations metadata:

    • code: unique identifier for conversation
    • type: type of interaction
    • duration: duration of the conversation, expressed in hh:mm:ss format
    • participants-number: number of participants in the conversation
    • languages: languages spoken in the conversation, can be either italian or dialect, or both.
    • participants-relationship: relation between participants
    • moderator: presence of a moderator
    • topic: topic of the conversation, if applicable
    • year: year of collection
    • collection-point: two-letter code of the collection area
    • collection-region: italian region where the collection point is located
    • macro-region: either NORTH, CENTRE or SOUTH
    • Additionally, the metadata/conversations.tsv also contains a participants field that recaps the codes of the participants to that conversation

Verticalized content

Conversations are also available in a vertical, pseudo-tokenized version in tsv/. Tokenization is obtained by validating the Jefferson transcription using custom tools and splitting on token boundaries: whitespaces, prosodic links (=), and apostrophes used for elision in Italian orthography. Each transcription-derived token is then documented on one row.

Each token is represented as 13 columns, as follows:

  1. token_id: unique token identifier within the conversation
  2. speaker: speaker code as it can be found in metadata/participants.tsv
  3. tu_id: progressive identifier assigned to transcription units
  4. span: portion of the original jefferson transcription containing the token
  5. form: orthographic form of the token. This differs from the span as special symbols are stripped out and represented as jefferson_feats. Unintelligible tokens (sequences of x in the transcription) are represented as x
  6. type: one of
    • linguistic: everything that is considered to be a content linguistic token
    • nonverbalbehavior used for transcribed non verbal behaviors, such as laughing or sighing
    • shortpause that identify pauses
    • unknown that identify unintelligible spans in transcription
    • error is a residual class to mark cases where the transcription is not well formed according to Jefferson format. Therefore, the token is not analyzed and transcription will be corrected in future releases.
  7. variation encodes whether the transcription unit includes code mixing with dialects: all when the whole TU is marked non-Italian (#_ prefix), unspecified when the TU carries an explicit # prefix without attributing it to specific tokens, yes when one or more individual tokens carry their own #/$/#* marker, otherwise none.
  8. jefferson_feats: the column collects a list of word-level features derived from the transcription in Jefferson format. More specifically:
    • SpaceAfter=No: no whitespace between this token and the next (e.g., l' in l'anno)
    • ProsodicLink=Yes: a prosodic link (=) to the following token,
    • Intonation can assume values Falling, Rising or WeaklyRising and translates word final punctuation sign in Jefferson transcriptions (i.e., ., ? and , respectively)
    • Interrupted=Yes: words interrupted in speech, transcribed with final ~
    • Truncated=Yes: truncated forms (e.g., anda' for andare, common in some Italian varieties)
    • Reduced=Yes: phonetic reduction across a bracket span (e.g. c(io)è, or a multi-token contraction like m(e l)o for "me lo"), for words/phrases on the module's configured reduction whitelist
    • Volume can assume values High or Low and translated Jefferson's uppercase and ° respectively
  9. align: alignment features for the first and last token of each TU, through AlignBegin and AlignEnd features expressed in milliseconds
  10. prolongations: positions of sound prolongations (colons :) within the word, encoded as a comma-separated list of <char_id>x<count> pairs
    • char_id is the zero-based index of the character in the token's orthographic form.
    • count is the number of consecutive colons immediately following that character in the original span
    • example: for span = ese::mpio:, its orthographic form is esempio and the prolongations field would assume value 2x2,6x1 (the 3rd letter e has 2 colons; the 7th letter o has 1 colon).
  11. pace: marks whether the token participates in a fast or slow paced span within the word.
    • Format: Fast=<char_id_start>-<char_id_end> or Slow=<char_id_start>-<char_id_end>
    • Indices are zero-based, inclusive, and refer to character positions in form
  12. guesses: character span(s) transcribed as uncertain (i.e., in round brackets in the Jefferson transcription).
    • Format: <char_id_start>-<char_id_end> (zero-based, inclusive, over form)
    • A round-bracket span whose word is a recognized phonetic reduction (e.g. c(io)è) is not counted as a guess — see Reduced=Yes below
  13. overlaps: comma-separated list of character spans participating in simultaneous speech, with an overlap group identifier.
    • Format: <char_id_start>-<char_id_end>(<overlap_id>), where indices are zero-based, inclusive indices over form and overlap_id is the progressive number of the overlapping group within the TU
    • Examples: the span e[se]mp[i would be encoded as 1-3(2),5-6(3) meaning that characters from position one (inclusive) to three (exclusive) participate to span number 2 while the last character (with id 5) participates to the third overlapping span of the transcription unit. When the overlapping id was not decidable, a ? is used

Data access

Due to GDPR restrictions, pseudo-anonymized audio files (MP3) are available under a restricted-access license. To request access, please contact the corpus coordinators through the KIParla website and follow the provided procedure.

How to cite

To cite this module please include:

CITATION

@BIBTEX_ENTRY

If you use the MODULE_NAME module in your research, please also reference this repository (commit/tag) in your data statement or appendix.

Changelog

  • YYYY-MM-DD vX.Y.Z
    • First release

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Footnotes

  1. abruzzo, basilicata, calabria, campania, emilia-romagna, friuli-venezia-giulia, lazio, liguria, lombardia, marche, molise, piemonte, puglia, sardegna, sicilia, toscana, trentino-alto-adige, umbria, valle-d-aosta, veneto

  2. elementary-school, liceo-diploma, middle-school, phd, technical-vocational-diploma, university-degree, university-degree-ongoing

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