PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.71 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (621 utterances, 1,273 words searched).

  1. boat . SAR · eng_USA_Brown/sarah002.cha, line 207
  2. boat # yes . MOT · eng_USA_Brown/sarah002.cha, line 209
  3. a boat . SAR · eng_USA_Brown/sarah002.cha, line 396
  4. a boat . MOT · eng_USA_Brown/sarah002.cha, line 399
  5. a boat . SAR · eng_USA_Brown/sarah002.cha, line 562
  6. a boat . MOT · eng_USA_Brown/sarah002.cha, line 564
  1. eng_USA_Brown/sarah002.cha, line 207
    MOThmm ?
    MOTnice ?
    SAR*SAR: boat .
    MOTboat # yes .
    SARBobo@f .
  2. eng_USA_Brown/sarah002.cha, line 209
    MOTnice ?
    SARboat .
    MOT*MOT: boat # yes .
    SARBobo@f .
    MOTBozo # yeah .
  3. eng_USA_Brown/sarah002.cha, line 396
    MOTa monkey .
    MOTand # what's this ?
    SAR*SAR: a boat .
    MOTa boat .
    SAR0 [=! noise, as of affirmation] .
  4. eng_USA_Brown/sarah002.cha, line 399
    MOTand # what's this ?
    SARa boat .
    MOT*MOT: a boat .
    SAR0 [=! noise, as of affirmation] .
    MOTan(d) what's this ?
  5. eng_USA_Brown/sarah002.cha, line 562
    MOTa doggy .
    MOTan(d) what's this ?
    SAR*SAR: a boat .
    MOTa boat .
    MOToh # who's this ?
  6. eng_USA_Brown/sarah002.cha, line 564
    MOTan(d) what's this ?
    SARa boat .
    MOT*MOT: a boat .
    MOToh # who's this ?
    SARa monkey .

Matches by child

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

  1. Sarah eng_USA_Brown4.71
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah002.chaSarah 1,273664.71

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. boat6 · 100.0%