PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

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

  1. fix it . SAR · eng_USA_Brown/sarah018.cha, line 968
  2. fix it . SAR · eng_USA_Brown/sarah018.cha, line 971
  3. fix it . SAR · eng_USA_Brown/sarah018.cha, line 973
  4. fix it ? FAT · eng_USA_Brown/sarah018.cha, line 975
  5. fix it . SAR · eng_USA_Brown/sarah018.cha, line 977
  6. I fix it . SAR · eng_USA_Brown/sarah018.cha, line 979
  1. eng_USA_Brown/sarah018.cha, line 968
    FATand you iron on the ironing board .
    FATlike they say in New Orleans # <iron> ["] .
    SAR*SAR: fix it .
    SARfix it .
    SARfix it .
  2. eng_USA_Brown/sarah018.cha, line 971
    FATlike they say in New Orleans # <iron> ["] .
    SARfix it .
    SAR*SAR: fix it .
    SARfix it .
    FATfix it ?
  3. eng_USA_Brown/sarah018.cha, line 973
    SARfix it .
    SARfix it .
    SAR*SAR: fix it .
    FATfix it ?
    SARfix it .
  4. eng_USA_Brown/sarah018.cha, line 975
    SARfix it .
    SARfix it .
    FAT*FAT: fix it ?
    SARfix it .
    SARI fix it .
  5. eng_USA_Brown/sarah018.cha, line 977
    SARfix it .
    FATfix it ?
    SAR*SAR: fix it .
    SARI fix it .
    MOTxx .
  6. eng_USA_Brown/sarah018.cha, line 979
    FATfix it ?
    SARfix it .
    SAR*SAR: I fix it .
    MOTxx .
    SARall .

Matches by child

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

  1. Sarah eng_USA_Brown2.75
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah018.chaSarah 2,180662.75

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. fix6 · 100.0%