PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.52 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (463 utterances, 1,986 words searched).

  1. you <haven't even wrote> [//] # didn't even write your list out yet . MOT · eng_USA_Brown/sarah058.cha, line 1030 · Sarah 3;04
  2. <you want to write your list up> [//] # ya want to write your letter to Santa_Claus ? MOT · eng_USA_Brown/sarah058.cha, line 1035 · Sarah 3;04
  3. better put those on the list . MOT · eng_USA_Brown/sarah058.cha, line 1351 · Sarah 3;04
  4. here's the list right here . MOT · eng_USA_Brown/sarah058.cha, line 1363 · Sarah 3;04
  5. we're makin(g) the list . MOT · eng_USA_Brown/sarah058.cha, line 1365 · Sarah 3;04
  6. that's quite a list there . MOT · eng_USA_Brown/sarah058.cha, line 1513 · Sarah 3;04
  7. that's a big list . MOT · eng_USA_Brown/sarah058.cha, line 1716 · Sarah 3;04
  1. MOThuh ?
    CHIyeah .
    MOT*MOT: you <haven't even wrote> [//] # didn't even write your list out yet .
    CHI0 .
    MOT<you want to write your list up> [//] # ya want to write your letter to Santa_Claus ?
  2. MOTyou <haven't even wrote> [//] # didn't even write your list out yet .
    CHI0 .
    MOT*MOT: <you want to write your list up> [//] # ya want to write your letter to Santa_Claus ?
    CHIyeah .
    KENdo they read letters over the radio here ?
  3. MOTroller+skates # ice+skates .
    MOTyeah .
    MOT*MOT: better put those on the list .
    CHII know it .
    CHIyou need the pencil right here .
  4. MOTroller+skate # ice+skate # what else ?
    CHIwhere's the lis(t) .
    MOT*MOT: here's the list right here .
    MOTwe're makin(g) the list .
    CHIoh .
  5. CHIwhere's the lis(t) .
    MOThere's the list right here .
    MOT*MOT: we're makin(g) the list .
    CHIoh .
    MOTis there anything else ?
  6. CHI(a)n(d) a stove .
    MOTa stove .
    MOT*MOT: that's quite a list there .
    CHI(a)n(d) um # a little sink .
    MOTya got a sink .
  7. MOTyeah [/] # yeah we forgot .
    MOTwe stupid # heh ?
    MOT*MOT: that's a big list .
    MOTlet's see # what has Santa_Claus +/.

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/sarah058.chaSarah 3;4.161,986773.52

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. list7 · 100.0%