PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.35 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (606 utterances, 2,550 words searched).

  1. what'd we say that one was ? MOT · eng_USA_Brown/sarah055.cha, line 32 · Sarah 3;03
  2. (be)cause the first letter she took out of the box was a s@l (a)n(d) she says to me +"/. GRA · eng_USA_Brown/sarah055.cha, line 896 · Sarah 3;03
  3. she knew it was a Sarah . MOT · eng_USA_Brown/sarah055.cha, line 906 · Sarah 3;03
  4. I thought I was gonna die right then and there . MOT · eng_USA_Brown/sarah055.cha, line 959 · Sarah 3;03
  5. that bath+room was so hot . MOT · eng_USA_Brown/sarah055.cha, line 1397 · Sarah 3;03
  6. I was trying to transcribe them . KEN · eng_USA_Brown/sarah055.cha, line 1827 · Sarah 3;03
  1. eng_USA_Brown/sarah055.cha, line 32 · Sarah, 3;3.28
    MOTsee ?
    MOTit goes down like this .
    MOT*MOT: what'd we say that one was ?
    MOTremember ?
    CHIi(t) ge(t) one hole .
  2. eng_USA_Brown/sarah055.cha, line 896 · Sarah, 3;3.28
    GRAshe tries to fool you # you know .
    MOTshe tries to fool ya # that's what she does .
    GRA*GRA: (be)cause the first letter she took out of the box was a s@l (a)n(d) she says to me +"/.
    GRA+" that's a s@l .
    MOTs@l .
  3. eng_USA_Brown/sarah055.cha, line 906 · Sarah, 3;3.28
    MOTs@l .
    GRAyes .
    MOT*MOT: she knew it was a Sarah .
    CHIxxx .
    KENoh .
  4. eng_USA_Brown/sarah055.cha, line 959 · Sarah, 3;3.28
    MOTno # she don't watch Big Brother .
    MOTshe watches Bozo .
    MOT*MOT: I thought I was gonna die right then and there .
    CHI(i)s Bozo on # Thursday ?
    MOTyeah .
  5. eng_USA_Brown/sarah055.cha, line 1397 · Sarah, 3;3.28
    MOTwe always have ta have one of these .
    CHIno # I have ta # duhbluh@b [x 6] +...
    MOT*MOT: that bath+room was so hot .
    GRAhey # how about your puzzle .
    MOTd(o) ya wanna get your puzzle ?
  6. eng_USA_Brown/sarah055.cha, line 1827 · Sarah, 3;3.28
    MOTthey sound just like yyy yyy yyy yyy .
    MOTyeah .
    KEN*KEN: I was trying to transcribe them .
    KENhad to listen and listen # um .
    GRAcome on # finish this 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. Sarah eng_USA_Brown2.35
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah055.chaSarah 3;3.282,550662.35

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. was6 · 100.0%