PHPCLANCHILDES with regular expressions

8 matches in 7 utterances

3.67 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (939 utterances, 2,180 words searched).

  1. can you sing any songs ? FAT · eng_USA_Brown/sarah018.cha, line 272
  2. let me hear you sing # <who's sorry now> ["] . FAT · eng_USA_Brown/sarah018.cha, line 274
  3. come on # sing it . FAT · eng_USA_Brown/sarah018.cha, line 294
  4. here # sing happy birthday . MOT · eng_USA_Brown/sarah018.cha, line 298
  5. now sing # birthday . MOT · eng_USA_Brown/sarah018.cha, line 319
  6. sing the whole song . FAT · eng_USA_Brown/sarah018.cha, line 336
  7. sing the whole sing first . MOT · eng_USA_Brown/sarah018.cha, line 340
  8. sing the whole sing first . MOT · eng_USA_Brown/sarah018.cha, line 340
  1. eng_USA_Brown/sarah018.cha, line 272
    FATxx .
    SAR0 [=! laughs] .
    FAT*FAT: can you sing any songs ?
    FATlet me hear you sing # <who's sorry now> ["] .
    MOT0 [=! laughs] .
  2. eng_USA_Brown/sarah018.cha, line 274
    SAR0 [=! laughs] .
    FATcan you sing any songs ?
    FAT*FAT: let me hear you sing # <who's sorry now> ["] .
    MOT0 [=! laughs] .
    SARI so(rr)y now .
  3. eng_USA_Brown/sarah018.cha, line 294
    SARI cry too .
    FATjust like I cried over you .
    FAT*FAT: come on # sing it .
    SARI cry too .
    MOThere # sing happy birthday .
  4. eng_USA_Brown/sarah018.cha, line 298
    FATcome on # sing it .
    SARI cry too .
    MOT*MOT: here # sing happy birthday .
    FAThappy birthday .
    SARhappy to you .
  5. eng_USA_Brown/sarah018.cha, line 319
    MOTone more .
    SARa one more .
    MOT*MOT: now sing # birthday .
    MOThappy birthday .
    SARhappy day .
  6. eng_USA_Brown/sarah018.cha, line 336
    MOTno .
    MOThappy birthday .
    FAT*FAT: sing the whole song .
    SAR0 .
    MOTsing the whole sing first .
  7. eng_USA_Brown/sarah018.cha, line 340
    FATsing the whole song .
    SAR0 .
    MOT*MOT: sing the whole sing first .
    SARa blow out .
    SARxx wind .

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Sarah eng_USA_Brown3.67
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah018.chaSarah 2,180783.67

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. sing8 · 100.0%