PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

2.37 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (537 utterances, 2,950 words searched).

  1. down that bank . MOT · eng_british_Manchester_I/aran09a.cha, line 394 · Aran 2;02
  2. did it fall down the bank ? MOT · eng_british_Manchester_I/aran09a.cha, line 396 · Aran 2;02
  3. that's fallen down the bank . MOT · eng_british_Manchester_I/aran09a.cha, line 503 · Aran 2;02
  4. that one's fallen down the bank . MOT · eng_british_Manchester_I/aran09a.cha, line 509 · Aran 2;02
  5. which tractor is it that's fallen down the bank ? MOT · eng_british_Manchester_I/aran09a.cha, line 559 · Aran 2;02
  6. down the bank . MOT · eng_british_Manchester_I/aran09a.cha, line 779 · Aran 2;02
  7. what else did you see on this bank with Daddy ? MOT · eng_british_Manchester_I/aran09a.cha, line 783 · Aran 2;02
  1. MOTwhere was it ?
    CHIdown that bank .
    MOT*MOT: down that bank .
    MOTdid it fall down the bank ?
    CHIyeah .
  2. CHIdown that bank .
    MOTdown that bank .
    MOT*MOT: did it fall down the bank ?
    CHIyeah .
    MOTwell who rescued it ?
  3. MOTand that's the breakdown van ,, isn't it ?
    MOTand who's this coming to rescue that tractor ?
    MOT*MOT: that's fallen down the bank .
    CHIthat one fall down the bank .
    MOTyes .
  4. CHIthat one fall down the bank .
    MOTyes .
    MOT*MOT: that one's fallen down the bank .
    CHIthat one not fall down the bank .
    MOTlet's go and see if we can find your tow rope .
  5. MOTwe put that on there ,, don't we ?
    MOTto pull the tractor .
    MOT*MOT: which tractor is it that's fallen down the bank ?
    CHIthat one .
    MOTwell you'd better turn it over then ,, hadn't you ?
  6. MOTis your doggy going for a walk ?
    CHIdown bank .
    MOT*MOT: down the bank .
    CHImmhm .
    MOTwhat else did you see on this bank with Daddy ?
  7. MOTdown the bank .
    CHImmhm .
    MOT*MOT: what else did you see on this bank with Daddy ?
    CHItractor .
    MOTyou saw a tractor ?

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. Aran eng_british_Manchester_I2.37
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/aran09a.chaAran 2;2.112,950772.37

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. bank7 · 100.0%