PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.02 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (383 utterances, 1,740 words searched).

  1. you want to put him on the elephant ? MOT · eng_british_Manchester_II/warr10b.cha, line 74 · Warren 2;01
  2. he's taken the wall with him . MOT · eng_british_Manchester_II/warr10b.cha, line 955 · Warren 2;01
  3. are you going to kiss him better ? MOT · eng_british_Manchester_II/warr10b.cha, line 979 · Warren 2;01
  4. are you hugging him . MOT · eng_british_Manchester_II/warr10b.cha, line 993 · Warren 2;01
  5. make him better . INV · eng_british_Manchester_II/warr10b.cha, line 1006 · Warren 2;01
  6. what've you done to him ? MOT · eng_british_Manchester_II/warr10b.cha, line 1152 · Warren 2;01
  7. what had you done that made him cry ? MOT · eng_british_Manchester_II/warr10b.cha, line 1176 · Warren 2;01
  1. MOTwell it doesn't really matter what they are .
    CHIelephant .
    MOT*MOT: you want to put him on the elephant ?
    MOTthere look .
    MOThe's riding the elephant .
  2. CHIone two three jump .
    MOToh dear .
    MOT*MOT: he's taken the wall with him .
    MOTnever mind .
    MOTwe can rebuild it .
  3. MOTwhere's he hurt ?
    CHIhis head .
    MOT*MOT: are you going to kiss him better ?
    CHIhe's all right .
    MOThe's all right now , is he ?
  4. CHImy [*] hug .
    CHImy [*] hug him .
    MOT*MOT: are you hugging him .
    CHImy [*] hug .
    MOTthat's nice .
  5. INVoh shall I hug the monkey ?
    INVokay .
    INV*INV: make him better .
    INVthere .
    INVhe's all better now .
  6. CHIit's crying .
    MOTis he crying as well ?
    MOT*MOT: what've you done to him ?
    MOToh .
    MOThad I better get my tissue out again ?
  7. MOToh what had you done ?
    MOTlisten to what you did .
    MOT*MOT: what had you done that made him cry ?
    CHIhe cry .
    CHII better now .

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. Warren eng_british_Manchester_II4.02
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr10b.chaWarren 2;1.141,740774.02

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. him7 · 100.0%