PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

6.96 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (447 utterances, 1,436 words searched).

  1. you're going under my legs ? MOT · eng_british_Manchester_I/gail20a.cha, line 43 · Gail 2;06
  2. is that what my name is , do you think ? MOT · eng_british_Manchester_I/gail20a.cha, line 68 · Gail 2;06
  3. how big are my toes then ? MOT · eng_british_Manchester_I/gail20a.cha, line 176 · Gail 2;06
  4. are they smelly , my feet ? MOT · eng_british_Manchester_I/gail20a.cha, line 211 · Gail 2;06
  5. oh my word . MOT · eng_british_Manchester_I/gail20a.cha, line 294 · Gail 2;06
  6. measure my right down there ? MOT · eng_british_Manchester_I/gail20a.cha, line 500 · Gail 2;06
  7. what [/] what's my right down there ? MOT · eng_british_Manchester_I/gail20a.cha, line 504 · Gail 2;06
  8. my wrist ? MOT · eng_british_Manchester_I/gail20a.cha, line 512 · Gail 2;06
  9. my word you were . MOT · eng_british_Manchester_I/gail20a.cha, line 624 · Gail 2;06
  10. my word . MOT · eng_british_Manchester_I/gail20a.cha, line 896 · Gail 2;06
  1. INVwow .
    CHIunder your legs .
    MOT*MOT: you're going under my legs ?
    MOTokay .
    MOTxxx .
  2. MOTslim Jim@wp .
    CHIslim Jim@wp .
    MOT*MOT: is that what my name is , do you think ?
    MOTslim Jo@wp .
    MOThmm ?
  3. MOTif I can get them out .
    MOTxxx .
    MOT*MOT: how big are my toes then ?
    CHIbig .
    MOTpardon ?
  4. CHIwant to do that one .
    MOTokay .
    MOT*MOT: are they smelly , my feet ?
    CHIyeah .
    MOTor are they just right ?
  5. INVtwenty .
    MOTtwenty ?
    MOT*MOT: oh my word .
    INVoh dear .
    INVI thought they were six too .
  6. MOTright .
    CHImeasure your [*] right down there .
    MOT*MOT: measure my right down there ?
    CHIyeah .
    MOTwhat [/] what's my right down there ?
  7. MOTmeasure my right down there ?
    CHIyeah .
    MOT*MOT: what [/] what's my right down there ?
    MOTwhich bit ?
    CHIthat bit there .
  8. CHIthat bit there .
    MOTwhat ?
    MOT*MOT: my wrist ?
    CHIyeah .
    CHIyour wrist .
  9. MOTwhat did you do ?
    MOTyou were very tired , weren't you last night .
    MOT*MOT: my word you were .
    CHIoh .
    CHIit's hurting .
  10. CHIyeah .
    MOTthat would be hard work .
    MOT*MOT: my word .
    MOTwould that be a good idea , do you think ?
    CHItwenty .

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. Gail eng_british_Manchester_I6.96
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/gail20a.chaGail 2;6.161,43610106.96

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. my10 · 100.0%