PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

5.17 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (323 utterances, 1,355 words searched).

  1. okay . MOT · eng_british_Manchester_II/liz08a.cha, line 634 · Liz 2;01
  2. okay . MOT · eng_british_Manchester_II/liz08a.cha, line 667 · Liz 2;01
  3. okay . MOT · eng_british_Manchester_II/liz08a.cha, line 722 · Liz 2;01
  4. okay you bring a book in then . MOT · eng_british_Manchester_II/liz08a.cha, line 823 · Liz 2;01
  5. okay . MOT · eng_british_Manchester_II/liz08a.cha, line 1107 · Liz 2;01
  6. yeah okay . MOT · eng_british_Manchester_II/liz08a.cha, line 1151 · Liz 2;01
  7. okay . MOT · eng_british_Manchester_II/liz08a.cha, line 1191 · Liz 2;01
  1. eng_british_Manchester_II/liz08a.cha, line 634 · Liz, 2;1.25
    MOTare you sure ?
    CHIno .
    MOT*MOT: okay .
    CHIhere you are .
    INVoh is it for me ?
  2. eng_british_Manchester_II/liz08a.cha, line 667 · Liz, 2;1.25
    CHIyeah .
    CHIno Mum .
    MOT*MOT: okay .
    CHIbump there .
    CHIthis one .
  3. eng_british_Manchester_II/liz08a.cha, line 722 · Liz, 2;1.25
    MOTyou're throwing ?
    MOTI see .
    MOT*MOT: okay .
    CHIthrowing chips .
    MOTyeah .
  4. eng_british_Manchester_II/liz08a.cha, line 823 · Liz, 2;1.25
    MOTyou think you do ?
    CHII bring a book .
    MOT*MOT: okay you bring a book in then .
    CHIletter .
    MOTshall we finish this book with Postman_Pat in ?
  5. eng_british_Manchester_II/liz08a.cha, line 1107 · Liz, 2;1.25
    MOTand he's in Miss_Helpful as well I think .
    CHInew book out .
    MOT*MOT: okay .
    CHInew book .
    CHIthere .
  6. eng_british_Manchester_II/liz08a.cha, line 1151 · Liz, 2;1.25
    MOTdo you want me to fix it ?
    CHIyeah .
    MOT*MOT: yeah okay .
    MOTbring it here then .
    MOTdo you want to bring it here and I'll fix it ?
  7. eng_british_Manchester_II/liz08a.cha, line 1191 · Liz, 2;1.25
    MOTwhat do you want to do ?
    CHILiz do it .
    MOT*MOT: okay .
    CHIleg .
    MOTit's a bit of a fiddly job but you can try .

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. Liz eng_british_Manchester_II5.17
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz08a.chaLiz 2;1.251,355775.17

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. okay7 · 100.0%