PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.02 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (463 utterances, 1,986 words searched).

  1. well what # what else do ya want ? MOT · eng_USA_Brown/sarah058.cha, line 1304 · Sarah 3;04
  2. anything else ? MOT · eng_USA_Brown/sarah058.cha, line 1319 · Sarah 3;04
  3. roller+skate # ice+skate # what else ? MOT · eng_USA_Brown/sarah058.cha, line 1359 · Sarah 3;04
  4. is there anything else ? MOT · eng_USA_Brown/sarah058.cha, line 1369 · Sarah 3;04
  5. what else ? MOT · eng_USA_Brown/sarah058.cha, line 1488 · Sarah 3;04
  6. (a)n(d) what else ? MOT · eng_USA_Brown/sarah058.cha, line 1502 · Sarah 3;04
  1. eng_USA_Brown/sarah058.cha, line 1304 · Sarah, 3;4.16
    CHItha(t)'s a big yyy .
    MOTyeah .
    MOT*MOT: well what # what else do ya want ?
    CHIuh +...
    MOThow about Tressy ?
  2. eng_USA_Brown/sarah058.cha, line 1319 · Sarah, 3;4.16
    CHITressy !
    MOTyeah .
    MOT*MOT: anything else ?
    CHIum # a bath+room # I mean uh +...
    CHIuh +...
  3. eng_USA_Brown/sarah058.cha, line 1359 · Sarah, 3;4.16
    CHIyou need the pencil right here .
    MOTyeah .
    MOT*MOT: roller+skate # ice+skate # what else ?
    CHIwhere's the lis(t) .
    MOThere's the list right here .
  4. eng_USA_Brown/sarah058.cha, line 1369 · Sarah, 3;4.16
    MOTwe're makin(g) the list .
    CHIoh .
    MOT*MOT: is there anything else ?
    CHIoh .
    CHII wan(t) some # Penny_Bright ?
  5. eng_USA_Brown/sarah058.cha, line 1488 · Sarah, 3;4.16
    MOTyeah .
    MOTwe got ta write those down .
    MOT*MOT: what else ?
    MOThow about pots and pans ?
    MOTto go with your stove ?
  6. eng_USA_Brown/sarah058.cha, line 1502 · Sarah, 3;4.16
    CHIyeah .
    MOTpots (a)n(d) pans .
    MOT*MOT: (a)n(d) what else ?
    CHI(a)n(d) a stove .
    MOTmmhm .

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. Sarah eng_USA_Brown3.02
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah058.chaSarah 3;4.161,986663.02

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. else6 · 100.0%