PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.48 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (529 utterances, 2,014 words searched).

  1. hmm ? MOT · eng_british_Manchester_I/becky09a.cha, line 179 · Becky 2;02
  2. hmm ? MOT · eng_british_Manchester_I/becky09a.cha, line 568 · Becky 2;02
  3. hmm ? MOT · eng_british_Manchester_I/becky09a.cha, line 733 · Becky 2;02
  4. hmm ? MOT · eng_british_Manchester_I/becky09a.cha, line 735 · Becky 2;02
  5. hmm ? MOT · eng_british_Manchester_I/becky09a.cha, line 838 · Becky 2;02
  6. hmm ? MOT · eng_british_Manchester_I/becky09a.cha, line 1565 · Becky 2;02
  7. hmm ? MOT · eng_british_Manchester_I/becky09a.cha, line 1693 · Becky 2;02
  1. eng_british_Manchester_I/becky09a.cha, line 179 · Becky, 2;2.30
    INVthis one's all right .
    MOTthink they'll all gonna [: going to] have to be washed up , aren't they ?
    MOT*MOT: hmm ?
    CHIsticky too .
    MOTthat's sticky too , is it ?
  2. eng_british_Manchester_I/becky09a.cha, line 568 · Becky, 2;2.30
    CHIthere's Mama's .
    CHIhappened ?
    MOT*MOT: hmm ?
    CHIwhere more ?
    MOTmore (i)s here .
  3. eng_british_Manchester_I/becky09a.cha, line 733 · Becky, 2;2.30
    MOTcome on .
    MOTwhat's the matter ?
    MOT*MOT: hmm ?
    MOThmm ?
    MOTit's okay .
  4. eng_british_Manchester_I/becky09a.cha, line 735 · Becky, 2;2.30
    MOTwhat's the matter ?
    MOThmm ?
    MOT*MOT: hmm ?
    MOTit's okay .
    MOToh .
  5. eng_british_Manchester_I/becky09a.cha, line 838 · Becky, 2;2.30
    MOTdon't know where all her +//.
    MOTher other clothes are missing, aren't they ?
    MOT*MOT: hmm ?
    MOTdon't know where that pink dress has gone .
    MOToh .
  6. eng_british_Manchester_I/becky09a.cha, line 1565 · Becky, 2;2.30
    MOTwhy are you crying ?
    MOTbecause Sukie went out ?
    MOT*MOT: hmm ?
    CHIno .
    MOTwhy are you crying then ?
  7. eng_british_Manchester_I/becky09a.cha, line 1693 · Becky, 2;2.30
    MOTright .
    MOTlet's see what else needs putting away then .
    MOT*MOT: hmm ?
    MOTshall we put some of the things back in here ?
    CHIyeah .

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. Becky eng_british_Manchester_I3.48
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky09a.chaBecky 2;2.302,014773.48

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. hmm7 · 100.0%