PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.52 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (338 utterances, 1,422 words searched).

  1. she says to me # what's his name again ? MOT · eng_USA_Brown/sarah045.cha, line 1187 · Sarah 3;01
  2. she has a friend name Kenny down at the beach # (be)cause she xxx callin(g) you Kenny . MOT · eng_USA_Brown/sarah045.cha, line 1195 · Sarah 3;01
  3. that was my daddy's name . MOT · eng_USA_Brown/sarah045.cha, line 1201 · Sarah 3;01
  4. what's your Daddy's name ? MOT · eng_USA_Brown/sarah045.cha, line 1209 · Sarah 3;01
  5. what's your Daddy's name ? MOT · eng_USA_Brown/sarah045.cha, line 1211 · Sarah 3;01
  1. eng_USA_Brown/sarah045.cha, line 1187 · Sarah, 3;1.17
    MOTshe had trouble with that this morning .
    MOTI told her that Gloria and Kent were coming and she was goin(g) around here playin(g) .
    MOT*MOT: she says to me # what's his name again ?
    MOTI said Kent .
    MOT+" oh # I think Kenny .
  2. eng_USA_Brown/sarah045.cha, line 1195 · Sarah, 3;1.17
    MOTI said Kent .
    MOT+" oh # I think Kenny .
    MOT*MOT: she has a friend name Kenny down at the beach # (be)cause she xxx callin(g) you Kenny .
    CHIKenny .
    MOTthat was my daddy's name .
  3. eng_USA_Brown/sarah045.cha, line 1201 · Sarah, 3;1.17
    MOTshe has a friend name Kenny down at the beach # (be)cause she xxx callin(g) you Kenny .
    CHIKenny .
    MOT*MOT: that was my daddy's name .
    CHIno .
    MOTyes .
  4. eng_USA_Brown/sarah045.cha, line 1209 · Sarah, 3;1.17
    MOTyes .
    CHIno # he my (fr)ien(d) .
    MOT*MOT: what's your Daddy's name ?
    MOTwhat's your Daddy's name ?
    CHII don('t) know .
  5. eng_USA_Brown/sarah045.cha, line 1211 · Sarah, 3;1.17
    CHIno # he my (fr)ien(d) .
    MOTwhat's your Daddy's name ?
    MOT*MOT: what's your Daddy's name ?
    CHII don('t) know .
    MOThuh ?

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_Brown3.52
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah045.chaSarah 3;1.171,422553.52

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. name5 · 100.0%