PHPCLANCHILDES with regular expressions

7 matches in 6 utterances

5.35 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (312 utterances, 1,309 words searched).

  1. once I have collected um some data then I'll I'll do a short write+up for the parents so that +/. INV · eng_USA_Valian/19a.cha, line 56 · 19A 2;08
  2. okay, do you want me to pour some for you ? MOT · eng_USA_Valian/19a.cha, line 161 · 19A 2;08
  3. no more tea for you ! MOT · eng_USA_Valian/19a.cha, line 210 · 19A 2;08
  4. well, those are special knives just for you; those aren't sharp knives, they're made for you . MOT · eng_USA_Valian/19a.cha, line 337 · 19A 2;08
  5. … special knives just for you; those aren't sharp knives, they're made for you . MOT · eng_USA_Valian/19a.cha, line 337 · 19A 2;08
  6. no more tea for you . MOT · eng_USA_Valian/19a.cha, line 475 · 19A 2;08
  7. what do you want for lunch today ? MOT · eng_USA_Valian/19a.cha, line 1104 · 19A 2;08
  1. INVyes .
    MOTxxx .
    INV*INV: once I have collected um some data then I'll I'll do a short write+up for the parents so that +/.
    MOThow interesting .
    INV+, before it's in publication the parents can see what it's like .
  2. MOTthank you .
    CHIcan I have some more tea ?
    MOT*MOT: okay, do you want me to pour some for you ?
    CHIokay, it's very cold .
    MOTthere .
  3. CHIcould I have some more ? [+ V]
    MOTno, no .
    MOT*MOT: no more tea for you !
    MOTI want something to eat .
    MOTwhat can I have to eat ?
  4. CHIthey're very sharp .
    MOTmm .
    MOT*MOT: well, those are special knives just for you; those aren't sharp knives, they're made for you .
    MOTmost knives are very sharp, though .
    CHII put that one away .
  5. CHIcan I have some more tea ?
    MOTno [% CHI laughs] .
    MOT*MOT: no more tea for you .
    MOTyou don't get any .
    CHI[- exasperated sigh] xxx [% interrupted by MOT] +/.
  6. MOTno xx .
    CHII don't xxx .
    MOT*MOT: what do you want for lunch today ?
    CHIoh, a no: .
    CHIxxx .

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. 19A eng_USA_Valian5.35
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/19a.cha19A 2;8.151,309675.35

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. for7 · 100.0%