PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

8.33 per 1,000 words of the child (CHI), in 1 of 1 transcripts (300 utterances, 840 words searched).

  1. c@l . CHI · eng_USA_Brown/sarah064.cha, line 257 · Sarah 3;06
  2. a@l # b@l # c@l +... [+ bch] CHI · eng_USA_Brown/sarah064.cha, line 271 · Sarah 3;06
  3. a c@l # a d@l +... CHI · eng_USA_Brown/sarah064.cha, line 468 · Sarah 3;06
  4. c@l was # banana . CHI · eng_USA_Brown/sarah064.cha, line 667 · Sarah 3;06
  5. c@l [?] a@l [?] r@l [?] # e@l # v@l . [+ bch] CHI · eng_USA_Brown/sarah064.cha, line 960 · Sarah 3;06
  6. roast beef # (a)n(d) alten@c . CHI · eng_USA_Brown/sarah064.cha, line 1072 · Sarah 3;06
  7. an alten@c . CHI · eng_USA_Brown/sarah064.cha, line 1076 · Sarah 3;06
  1. eng_USA_Brown/sarah064.cha, line 257 · Sarah, 3;6.06
    MOTa@l .
    CHIb@l .
    CHI*CHI: c@l .
    MOT0 .
    CHIo@l .
  2. eng_USA_Brown/sarah064.cha, line 271 · Sarah, 3;6.06
    MOTum .
    MOTa@l # b@l # c@l +...
    CHI*CHI: a@l # b@l # c@l +... [+ bch]
    MOTwhat's this ?
    CHId@l .
  3. eng_USA_Brown/sarah064.cha, line 468 · Sarah, 3;6.06
    MOTno .
    MOTwhat's this ?
    CHI*CHI: a c@l # a d@l +...
    MOTwhat is it ?
    CHIa yyy .
  4. eng_USA_Brown/sarah064.cha, line 667 · Sarah, 3;6.06
    MOTb@l is for bell .
    MOTc@l is for ?
    CHI*CHI: c@l was # banana .
    MOTnot banana .
    MOTwhat's that ?
  5. eng_USA_Brown/sarah064.cha, line 960 · Sarah, 3;6.06
    MOTwatch it or you'll fall right off that chair .
    CHInow ya won't get a piece of paper .
    CHI*CHI: c@l [?] a@l [?] r@l [?] # e@l # v@l . [+ bch]
    CHIr@l # e@l # b@l . [+ bch]
    CHIwith b@l .
  6. eng_USA_Brown/sarah064.cha, line 1072 · Sarah, 3;6.06
    MOTwhat else ya goin(g) to have besides roast beef ?
    MOTroast beef and what ?
    CHI*CHI: roast beef # (a)n(d) alten@c .
    MOTa what ?
    CHIan alten@c .
  7. eng_USA_Brown/sarah064.cha, line 1076 · Sarah, 3;6.06
    CHIroast beef # (a)n(d) alten@c .
    MOTa what ?
    CHI*CHI: an alten@c .
    MOTan alten@c ?
    MOTwhat's that ?

Matches by age

One dot per transcript: matches per 1,000 words of the child (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. Sarah eng_USA_Brown8.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah064.chaSarah 3;6.06840778.33

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. c7 · 100.0%