PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.86 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (566 utterances, 2,096 words searched).

  1. what's wrong with her ? MOT · eng_british_Manchester_II/ruth26a.cha, line 250 · Ruth 2;08
  2. what's her name then ? MOT · eng_british_Manchester_II/ruth26a.cha, line 396 · Ruth 2;08
  3. what's she got in her mouth ? MOT · eng_british_Manchester_II/ruth26a.cha, line 430 · Ruth 2;08
  4. oh what's +//. MOT · eng_british_Manchester_II/ruth26a.cha, line 531 · Ruth 2;08
  5. find out what's wrong with her . MOT · eng_british_Manchester_II/ruth26a.cha, line 582 · Ruth 2;08
  6. what's the cake for ? MOT · eng_british_Manchester_II/ruth26a.cha, line 1449 · Ruth 2;08
  1. eng_british_Manchester_II/ruth26a.cha, line 250 · Ruth, 2;8.07
    CHIyeah .
    MOTright .
    MOT*MOT: what's wrong with her ?
    CHIshe 0has [*] got a fish+bone in her mouth .
    CHIit 0is [*] sick .
  2. eng_british_Manchester_II/ruth26a.cha, line 396 · Ruth, 2;8.07
    CHIyeah .
    MOTokay .
    MOT*MOT: what's her name then ?
    CHIlittle black baby .
    MOTwell that's a bit descriptive .
  3. eng_british_Manchester_II/ruth26a.cha, line 430 · Ruth, 2;8.07
    CHIme not like name .
    CHIgot a fish+bone in my mouth .
    MOT*MOT: what's she got in her mouth ?
    CHIgot a fish+bone .
    MOTa fish+bone .
  4. eng_british_Manchester_II/ruth26a.cha, line 531 · Ruth, 2;8.07
    MOTwell done doctor .
    CHII make that baby better .
    MOT*MOT: oh what's +//.
    MOTright .
    MOT<you you> [/] you have to ask her name .
  5. eng_british_Manchester_II/ruth26a.cha, line 582 · Ruth, 2;8.07
    CHIno .
    MOThave to ask her all these questions .
    MOT*MOT: find out what's wrong with her .
    CHIshe alright ?
    MOTno .
  6. eng_british_Manchester_II/ruth26a.cha, line 1449 · Ruth, 2;8.07
    MOTthe nurse's badge .
    CHIwhat that for ?
    MOT*MOT: what's the cake for ?
    MOTthank [//] oh that's my sandwich .
    MOTthank you .

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Ruth eng_british_Manchester_II2.86
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth26a.chaRuth 2;8.072,096662.86

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. what's6 · 100.0%