PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.16 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (506 utterances, 2,317 words searched).

  1. does he have a name ? MOT · eng_USA_Brown/adam38.cha, line 425 · Adam 3;09
  2. does he have a name ? MOT · eng_USA_Brown/adam38.cha, line 427 · Adam 3;09
  3. what's his name ? MOT · eng_USA_Brown/adam38.cha, line 432 · Adam 3;09
  4. does this have a name ? MOT · eng_USA_Brown/adam38.cha, line 1580 · Adam 3;09
  5. where's the name ? MOT · eng_USA_Brown/adam38.cha, line 1587 · Adam 3;09
  1. MOTbut you made him ?
    CHIyeah .
    MOT*MOT: does he have a name ?
    MOTdoes he have a name ?
    CHIyeah .
  2. CHIyeah .
    MOTdoes he have a name ?
    MOT*MOT: does he have a name ?
    CHIyeah .
    MOTwhat's his name ?
  3. MOTdoes he have a name ?
    CHIyeah .
    MOT*MOT: what's his name ?
    CHIGil .
    MOTwhat ?
  4. CHIdis is yours .
    MOTthank you .
    MOT*MOT: does this have a name ?
    CHIdere is a name on it .
    CHIdere is a name on dat too .
  5. CHIdere is a name on it .
    CHIdere is a name on dat too .
    MOT*MOT: where's the name ?
    CHIdat's the name .
    CHII wish you could color all dese .

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. Adam eng_USA_Brown2.16
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam38.chaAdam 3;9.162,317552.16

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%