PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

23.44 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (113 utterances, 384 words searched).

  1. hmm ? MOT · eng_USA_Bates/zeke20.cha, line 25 · Zeke 1;08
  2. hmm ? MOT · eng_USA_Bates/zeke20.cha, line 67 · Zeke 1;08
  3. hmm ? MOT · eng_USA_Bates/zeke20.cha, line 71 · Zeke 1;08
  4. hmm ? MOT · eng_USA_Bates/zeke20.cha, line 78 · Zeke 1;08
  5. hmm ? MOT · eng_USA_Bates/zeke20.cha, line 145 · Zeke 1;08
  6. hmm ? MOT · eng_USA_Bates/zeke20.cha, line 244 · Zeke 1;08
  7. hmm ? MOT · eng_USA_Bates/zeke20.cha, line 307 · Zeke 1;08
  8. hmm ? MOT · eng_USA_Bates/zeke20.cha, line 393 · Zeke 1;08
  9. hmm ? MOT · eng_USA_Bates/zeke20.cha, line 424 · Zeke 1;08
  1. MOTwan(t) (t)a make a tower ?
    MOTwan(t) (t)a make a tower ?
    MOT*MOT: hmm ?
    MOTyou wan(t) (t)a make a tower ?
    CHI0 .
  2. MOTgood !
    MOTwill you go get me the other pieces ?
    MOT*MOT: hmm ?
    MOTwill you go get the other pieces ?
    MOThmm ?
  3. MOThmm ?
    MOTwill you go get the other pieces ?
    MOT*MOT: hmm ?
    CHI0 .
    MOTwant me to make a tower again ?
  4. CHI0 .
    MOTwant me to make a tower again ?
    MOT*MOT: hmm ?
    CHI0 .
    MOTwant me to make a tower again ?
  5. MOTwan(t) (t)a put that in here ?
    MOTthere's all these little [!] things .
    MOT*MOT: hmm ?
    CHI0 .
    MOToh # just a sec(ond) .
  6. CHI0 .
    MOTget them all out ?
    MOT*MOT: hmm ?
    CHIxxx .
    MOT0 .
  7. CHIuh !
    MOTwhat're you chewing on the bed for ?
    MOT*MOT: hmm ?
    MOTwhat're you chewing on the bed for ?
    MOTwhat's this ?
  8. MOTdoggie ?
    MOTdoes that look like a dog to you ?
    MOT*MOT: hmm ?
    MOTthat look like a dog to you ?
    MOTand what +...
  9. CHI0 .
    MOTwe take someone for a ride in the car ?
    MOT*MOT: hmm ?
    MOTwan(t) (t)a take somebody for a ride in the car ?
    CHIyyy ?

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. Zeke eng_USA_Bates23.44
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/zeke20.chaZeke 1;8.3849923.44

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. hmm9 · 100.0%