Anonymisation on Speaker tier

• Replace name of participant with the respective speaker code, e.g. USbi02FR

• If whole names or surnames of friends are mentioned, replace with the participant code + _P, e.g. USbi02FR_P

• Places that could lead to the identification of a participant, like streetnames, schoolnames, etc.:

  • "Friedrichstraßezzz", you transcribe as "{streetname}Straße". "zzz" has to be replaced by any inflectional suffixes/erase it if there are no such suffixes
  • "Apple Highschools“ (with plural suffix), you transcribe as "{schoolname}schools".

! Attention: There should be no spaces following the {...}. ! Over time a list of these placeholders should be developed by every project

• Communication Unit (CU) is used as a segmentation unit
• No punctuation marks at all on the transcription layer
• No accents, no intonation patterns are marked
• In Exmaralda: blank space at the end of each event (* no punctuation marks on norm layer)

Our decisions to CU segmentation you find here: Decisions CU Segmentation

• No capital letters
• Abbreviations/acronyms are transcribed as full words in the phonology of the language heard in the recording(e.g. German BMW = beemwe, English BMW = beemdoubleyou)
• speaker codes need to be partly capitalized to follow their correct pattern

Adapted from KiDKo2014

• 'unwanted' material are questions of participants concerning the procedure and eventual responses from the elicitator
• first, figure out if you can exclude this kind of data with 'unwanted' material and repeat the elicitation
• If this is not possible, mark those passages as: <Q> communication with elicitor </Q>
• they get an extra-event

• Merged forms are transcribed as they are articulated, but with an equal sign linking the merged elements
• Examples: so=ne (= so eine)

• reduced syllables are transcribed as articulated
• Examples: goin (= going), bi tane (= bir tane), hab ich ein Tadel bekommen (= einen Tadel)

• Do not leave anything out and do not add anything which is not there!
• Use / to mark unfinished words, e.g. “The bl/ blue car crashes um stops“
• word internal cancellations/corrections are transcribed as follows: dipl: "be$ha$ come" (norm: "become")
• Onomatopoeias/echoisms are separated tokens (e.g. gutschi gutschi gutschi), only transcribed as one single token if they are very short (e.g. eieiei)

• always measured to the first decimal
• 0.2 - 1 sec: (-)
• 1 - 3 secs: (--)
• More than 3 secs: (5.5) to be measured
• Wordinternal pauses are marked as followed: be(-)have ¹
• keep in mind that there might be persons who talk really slowly (makes no sense to put a pause after every word/token)
• pauses inside a CU do not get an extra-event on the CU tier
• pauses which occur between two CUs get an extra-event on the CU tier

• vocals realized longer than normal (0.2 - 2sec) are marked with : (e.g. so lo:ng)
• vocals that are realized longer tha 2 seconds are marked with :: (z.B. so lo::ng)
• also possible for consonants (e.g. mum:)
• doubling of vocal syllables with % (e.g. by%ye, tschü%üß)

• non-verbal events such as a participant laughing or coughing are noted in square brackets on the transcription tier, e.g. [laughing]
• if participants speak and laugh at the same time, you note it as: [[laughing]speech]

• [coughing]
• [gulping]
• [laughing]
• [pfing] for a sound like "pfff"
• [sighing]
• [throatclearing]
• [tongueclicking], including tsking as disapproval, while thinking and just mouth opening with a click
• [whispering]
• [stuttering]
• [imitating], for when they imitate a sound related to the story (e.g., car crash)
• [sniffing]

• uninterpretable material is to be marked as (UNK) on Speaker-tier
• longer than 2secs: (UNK, 2.1)
• assumed content is placed in between brackets, each token separated: (assumed) (content)
• if the uninterpretable material can be identified as belonging to a CU, there is no seperated event on the CU tier for it

• For every language, we define a set of hesitation markers/interjections/reception markers
• create a list with those markers
• If heritage speakers use particles from their ‘other’ language, we transcribe them as they sound, consistent with the procedure on foreign language material²

• Choose a spelling for each item following one of those options:

1. transcribe phonographically (e.g. engl. like = germ. leik) OR
2. use orthographic spelling of the "other" language

• Create a list where you document the spelling of each item in alphabetic order
• put the file name that includes the word and the time of the appearance in the list
• each time you encounter foreign language material in your data, check the list to guarantee a consistent form for those items³

• Keep conventionalized spelling (e.g. Renault = renault)
• document your decisions, create a list with those items
• Language specific decisions: Russian: put it in the spelling and script of the actually spoken language to avoid loss of phonetic/morphological/syntactic information Turkish and Greek: use Latin alphabet and conventionalized spelling