PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

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

  1. are you coming out with a written study then or +... MOT · eng_USA_Valian/19a.cha, line 41 · 19A 2;08
  2. what are you gonna do with them ? MOT · eng_USA_Valian/19a.cha, line 302 · 19A 2;08
  3. [- uttered simultaneously with CHI's next utterance] oh, good . MOT · eng_USA_Valian/19a.cha, line 346 · 19A 2;08
  4. well, what are you gonna do with another fork ? MOT · eng_USA_Valian/19a.cha, line 389 · 19A 2;08
  5. [- simultaneously with CHI's last word] no: . MOT · eng_USA_Valian/19a.cha, line 534 · 19A 2;08
  6. what does he do with the toys ? MOT · eng_USA_Valian/19a.cha, line 656 · 19A 2;08
  1. MOToh, could I have some tea please .
    MOTI would like some tea .
    MOT*MOT: are you coming out with a written study then or +...
    INVyeah, eventually but it'll probably take a couple of months before it gets written up .
    MOTI was just wondering what kind of feedback we'd get .
  2. MOTmhm .
    CHI# I've got some forks .
    MOT*MOT: what are you gonna do with them ?
    CHIxxx .
    MOThmm .
  3. MOTmost knives are very sharp, though .
    CHII put that one away .
    MOT*MOT: [- uttered simultaneously with CHI's next utterance] oh, good .
    CHIxx .
    CHIxxx .
  4. CHIxxx .
    CHIcan I [% background noise] xxx enough xxx .
    MOT*MOT: well, what are you gonna do with another fork ?
    CHIxxx (th)at's a dish+washer .
    MOTthat's a dish+washer [=! laughing] ?
  5. MOTno: .
    CHI[- laughs] can I have some more ju:ice ?
    MOT*MOT: [- simultaneously with CHI's last word] no: .
    CHI[- laughs again] can I have some more ju:ice ?
    CHIcan I have some more ju:ice ?
  6. MOTyeah, xxx .
    MOToh, I see .
    MOT*MOT: what does he do with the toys ?
    CHIxxx [% some kind of highpitched ee sound] .
    MOTxxx [% she repeats his noise] .

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_Valian4.58
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/19a.cha19A 2;8.151,309664.58

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. with6 · 100.0%