PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.67 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (323 utterances, 1,363 words searched).

  1. I haven't heard any [//] a word from him either so I don't know how how he's doing . MEL · eng_USA_Brown/sarah109.cha, line 557 · Sarah 4;05
  2. so my cousin tells me he said # +"/. MOT · eng_USA_Brown/sarah109.cha, line 601 · Sarah 4;05
  3. she's gonna get [?] a farm up in Maine # so she says . MOT · eng_USA_Brown/sarah109.cha, line 630 · Sarah 4;05
  4. um # I think so # yeah . MEL · eng_USA_Brown/sarah109.cha, line 681 · Sarah 4;05
  5. how_come he's got so many legs ? MOT · eng_USA_Brown/sarah109.cha, line 830 · Sarah 4;05
  1. eng_USA_Brown/sarah109.cha, line 557 · Sarah, 4;5.14
    MOTbut I didn't hear from Kent .
    MELdidn't you ?
    MEL*MEL: I haven't heard any [//] a word from him either so I don't know how how he's doing .
    MOTI mean he said he'd send a card around Christmas # y(ou) know .
    CHIhe got a book .
  2. eng_USA_Brown/sarah109.cha, line 601 · Sarah, 4;5.14
    MELthat's a good idea .
    MOTand she had that Baby_First_Step doll with her ?
    MOT*MOT: so my cousin tells me he said # +"/.
    MOT+" Sarah # where'd ya get the doll ?
    MOTshe says # +"/.
  3. eng_USA_Brown/sarah109.cha, line 630 · Sarah, 4;5.14
    CHIAuntie_Marilyn .
    GAIreally ?
    MOT*MOT: she's gonna get [?] a farm up in Maine # so she says .
    MOTMelissa ?
    MELyeah .
  4. eng_USA_Brown/sarah109.cha, line 681 · Sarah, 4;5.14
    MOTfeet sharp !
    MOTSarah # you're a winner .
    MEL*MEL: um # I think so # yeah .
    CHIalright now # y(ou) want snow ?
    MOTxxx .
  5. eng_USA_Brown/sarah109.cha, line 830 · Sarah, 4;5.14
    MOTno .
    CHIhe has many legs .
    MOT*MOT: how_come he's got so many legs ?
    CHI(be)cause he had a beard .
    MOThe had a what ?

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_Brown3.67
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah109.chaSarah 4;5.141,363553.67

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. so5 · 100.0%