PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

5.09 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (468 utterances, 1,571 words searched).

  1. I don't think that goes on next , Becky . MOT · eng_british_Manchester_I/becky13b.cha, line 1217 · Becky 2;04
  2. now was it this one next ? MOT · eng_british_Manchester_I/becky13b.cha, line 1281 · Becky 2;04
  3. which one is it next ? MOT · eng_british_Manchester_I/becky13b.cha, line 1285 · Becky 2;04
  4. which one do you think should go next ? MOT · eng_british_Manchester_I/becky13b.cha, line 1312 · Becky 2;04
  5. is it this one next ? MOT · eng_british_Manchester_I/becky13b.cha, line 1339 · Becky 2;04
  6. it's this one next , is it ? MOT · eng_british_Manchester_I/becky13b.cha, line 1343 · Becky 2;04
  7. is it this one next ? MOT · eng_british_Manchester_I/becky13b.cha, line 1369 · Becky 2;04
  8. which one next ? MOT · eng_british_Manchester_I/becky13b.cha, line 1461 · Becky 2;04
  1. MOTit's blue .
    CHIblue .
    MOT*MOT: I don't think that goes on next , Becky .
    CHIyes .
    CHIit is [*] .
  2. CHIthat .
    MOTthat's right .
    MOT*MOT: now was it this one next ?
    CHIum no .
    MOTwhich one is it next ?
  3. MOTnow was it this one next ?
    CHIum no .
    MOT*MOT: which one is it next ?
    CHIthat one .
    CHIthat one .
  4. MOTit's not right .
    MOTxxx .
    MOT*MOT: which one do you think should go next ?
    CHIthis one .
    MOTthis one ?
  5. MOTis that right ?
    CHIyeah .
    MOT*MOT: is it this one next ?
    CHIum that one .
    MOTit's this one next , is it ?
  6. MOTis it this one next ?
    CHIum that one .
    MOT*MOT: it's this one next , is it ?
    CHIyeah .
    MOToh .
  7. MOTthen this one ?
    MOTow .
    MOT*MOT: is it this one next ?
    CHIyeah .
    MOTthank you .
  8. CHIteddy's doing it .
    MOTgood , isn't he ?
    MOT*MOT: which one next ?
    CHIthis one next ?
    CHIthis one .

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_I5.09
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky13b.chaBecky 2;4.191,571885.09

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. next8 · 100.0%