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. um here's Kent's name . MOT · eng_USA_Brown/sarah055.cha, line 569 · Sarah 3;03
  2. um # looks like an zero to me . KEN · eng_USA_Brown/sarah055.cha, line 589 · Sarah 3;03
  3. you know she never # um # so she say # +"/. MOT · eng_USA_Brown/sarah055.cha, line 934 · Sarah 3;03
  4. um # b@l ? GRA · eng_USA_Brown/sarah055.cha, line 1182 · Sarah 3;03
  5. um . KEN · eng_USA_Brown/sarah055.cha, line 1268 · Sarah 3;03
  6. had to listen and listen # um . KEN · eng_USA_Brown/sarah055.cha, line 1829 · Sarah 3;03
  1. eng_USA_Brown/sarah055.cha, line 569 · Sarah, 3;3.28
    CHIuhhuh .
    MOTxxx .
    MOT*MOT: um here's Kent's name .
    MOTyou know like Grampy's cigarettes ?
    MOThuh ?
  2. eng_USA_Brown/sarah055.cha, line 589 · Sarah, 3;3.28
    KENwhat letter is that ?
    CHIwhat letter ?
    KEN*KEN: um # looks like an zero to me .
    KENwhat color is the letter ?
    CHIi(t)'s an o@l .
  3. eng_USA_Brown/sarah055.cha, line 934 · Sarah, 3;3.28
    MOT(a)n(d) I said # +"/.
    MOT+" no .
    MOT*MOT: you know she never # um # so she say # +"/.
    MOT+" oh yes I do .
    MOT(a)n(d) she goes # +"/.
  4. eng_USA_Brown/sarah055.cha, line 1182 · Sarah, 3;3.28
    CHIk@l .
    CHIwhat's this ?
    GRA*GRA: um # b@l ?
    CHIuhhuh .
    KENwhat words start with that letter ?
  5. eng_USA_Brown/sarah055.cha, line 1268 · Sarah, 3;3.28
    MOTuhuh # ask (h)im some more .
    CHIwhat's that ?
    KEN*KEN: um .
    KENthat's a rooster .
    CHIhunm .
  6. eng_USA_Brown/sarah055.cha, line 1829 · Sarah, 3;3.28
    MOTyeah .
    KENI was trying to transcribe them .
    KEN*KEN: had to listen and listen # um .
    GRAcome on # finish this one .
    MOTI [//] she does better than anybody .

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. um6 · 100.0%