PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.78 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (423 utterances, 1,587 words searched).

  1. did ya tell Kent what the Easter_Bunny brought ? FAT · eng_USA_Brown/sarah075.cha, line 239 · Sarah 3;08
  2. did ya tell Kent where ya went ? FAT · eng_USA_Brown/sarah075.cha, line 242 · Sarah 3;08
  3. it's hard to tell . FAT · eng_USA_Brown/sarah075.cha, line 259 · Sarah 3;08
  4. tell Kent we went out to a restaurant yesterday (a)n(d) had dinner ? MOT · eng_USA_Brown/sarah075.cha, line 379 · Sarah 3;08
  5. tell him he's after us . MOT · eng_USA_Brown/sarah075.cha, line 455 · Sarah 3;08
  6. tell Kent about the big restaurant we went to . MOT · eng_USA_Brown/sarah075.cha, line 1523 · Sarah 3;08
  1. eng_USA_Brown/sarah075.cha, line 239 · Sarah, 3;8.27
    CHIsome these # xxx these .
    FATwhat are those ?
    FAT*FAT: did ya tell Kent what the Easter_Bunny brought ?
    FATdid ya tell Kent where ya went ?
    FAT# yesterday ?
  2. eng_USA_Brown/sarah075.cha, line 242 · Sarah, 3;8.27
    FATwhat are those ?
    FATdid ya tell Kent what the Easter_Bunny brought ?
    FAT*FAT: did ya tell Kent where ya went ?
    FAT# yesterday ?
    CHII went to Aunt_Dot's .
  3. eng_USA_Brown/sarah075.cha, line 259 · Sarah, 3;8.27
    MOTthat's my cigarette # huh ?
    FATyeah .
    FAT*FAT: it's hard to tell .
    FATcome put a light on .
    MOT0 .
  4. eng_USA_Brown/sarah075.cha, line 379 · Sarah, 3;8.27
    MOTxxx .
    CHII'm a little bit sticky .
    MOT*MOT: tell Kent we went out to a restaurant yesterday (a)n(d) had dinner ?
    CHIum # yeah .
    MOThmm ?
  5. eng_USA_Brown/sarah075.cha, line 455 · Sarah, 3;8.27
    FATwhat ?
    CHIEaster_Bunny .
    MOT*MOT: tell him he's after us .
    CHIxxx .
    MOThuh ?
  6. eng_USA_Brown/sarah075.cha, line 1523 · Sarah, 3;8.27
    FATyou # you can put it on in a minute .
    MOTyou put it on in a few minutes .
    MOT*MOT: tell Kent about the big restaurant we went to .
    FAToh no .
    CHIxxx .

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_Brown3.78
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah075.chaSarah 3;8.271,587663.78

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. tell6 · 100.0%