PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.74 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (442 utterances, 1,606 words searched).

  1. what about Horsie_horsie ? INV · eng_british_Manchester_I/becky13a.cha, line 121 · Becky 2;04
  2. how about something out of here ? MOT · eng_british_Manchester_I/becky13a.cha, line 192 · Becky 2;04
  3. what about this house ? MOT · eng_british_Manchester_I/becky13a.cha, line 215 · Becky 2;04
  4. I think there's another one as well I saw about . MOT · eng_british_Manchester_I/becky13a.cha, line 419 · Becky 2;04
  5. what about +//. MOT · eng_british_Manchester_I/becky13a.cha, line 426 · Becky 2;04
  6. what about one of these because you know these storys . MOT · eng_british_Manchester_I/becky13a.cha, line 1568 · Becky 2;04
  1. eng_british_Manchester_I/becky13a.cha, line 121 · Becky, 2;4.19
    MOTis that it ?
    CHIno .
    INV*INV: what about Horsie_horsie ?
    MOTI don't think we know that one .
    MOTxxx .
  2. eng_british_Manchester_I/becky13a.cha, line 192 · Becky, 2;4.19
    MOToh .
    CHIit's there .
    MOT*MOT: how about something out of here ?
    MOToh .
    MOTMummy's making Barney talk .
  3. eng_british_Manchester_I/becky13a.cha, line 215 · Becky, 2;4.19
    CHIthat's was [*] Barney .
    MOTdo you want to put the tambourine back ?
    MOT*MOT: what about this house ?
    CHIno .
    CHII don't want that house .
  4. eng_british_Manchester_I/becky13a.cha, line 419 · Becky, 2;4.19
    MOTdid you put them in there ?
    CHIyeah .
    MOT*MOT: I think there's another one as well I saw about .
    MOTxxx .
    CHIxxx .
  5. eng_british_Manchester_I/becky13a.cha, line 426 · Becky, 2;4.19
    MOTxxx .
    CHIxxx .
    MOT*MOT: what about +//.
    MOTdon't play with the berrys .
    CHIwhere's another one ?
  6. eng_british_Manchester_I/becky13a.cha, line 1568 · Becky, 2;4.19
    CHImmhm .
    CHIwant read +...
    MOT*MOT: what about one of these because you know these storys .
    MOTI think these are good to read to her .
    MOTdo you want to read that one to her ?

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_I3.74
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky13a.chaBecky 2;4.191,606663.74

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. about6 · 100.0%