PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

3.32 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (654 utterances, 3,015 words searched).

  1. it doesn't look like mine, but it writes . MOT · eng_USA_Valian/01a.cha, line 92 · 01A 2;01
  2. we could look in here, there's some toys in here . INV · eng_USA_Valian/01a.cha, line 99 · 01A 2;01
  3. Investigator would let you look in the bag . MOT · eng_USA_Valian/01a.cha, line 104 · 01A 2;01
  4. oh, look, clothes . MOT · eng_USA_Valian/01a.cha, line 1029 · 01A 2;01
  5. look . MOT · eng_USA_Valian/01a.cha, line 1085 · 01A 2;01
  6. you can go look . MOT · eng_USA_Valian/01a.cha, line 1679 · 01A 2;01
  7. what book would you like to look at ? MOT · eng_USA_Valian/01a.cha, line 1710 · 01A 2;01
  8. we can all look . MOT · eng_USA_Valian/01a.cha, line 1741 · 01A 2;01
  9. do you wanna look at the +//. MOT · eng_USA_Valian/01a.cha, line 1830 · 01A 2;01
  10. but they don't look like most of the trees in our book because these are pine trees . MOT · eng_USA_Valian/01a.cha, line 2062 · 01A 2;01
  1. INVyou can write on that if you want to .
    MOTdo you wanna use that pen ?
    MOT*MOT: it doesn't look like mine, but it writes .
    MOTxxx .
    INVwe could do something else .
  2. MOTxxx .
    INVwe could do something else .
    INV*INV: we could look in here, there's some toys in here .
    MOTthere's some toys in that bag .
    MOTInvestigator would let you look in the bag .
  3. INVwe could look in here, there's some toys in here .
    MOTthere's some toys in that bag .
    MOT*MOT: Investigator would let you look in the bag .
    MOTdo you want to ?
    CHIyeah .
  4. MOTand you danced .
    MOTlet's see what other pictures there are in here .
    MOT*MOT: oh, look, clothes .
    CHIboots .
    MOTboots .
  5. MOTtoo hard .
    CHImommy .
    MOT*MOT: look .
    CHIno .
    INVthere you go .
  6. MOTI think it's downstairs .
    CHIupstairs . [+ V]
    MOT*MOT: you can go look .
    INVwe'll soon find out .
    MOTwe'll soon find out, I'm gonna go see .
  7. MOTbecause that's a hard book .
    MOTthat's a hard book .
    MOT*MOT: what book would you like to look at ?
    INVall of them .
    MOTall of them, please, all at once .
  8. MOTyou have a lot more that two .
    MOTwhy don't you pick a book you'd like to show Investigator ?
    MOT*MOT: we can all look .
    MOTyou're getting to see all her books .
    MOTyou're showing Investigator all your books .
  9. MOTthis is the Counting_with_cats book .
    INV&=laugh .
    MOT*MOT: do you wanna look at the +//.
    MOTlet's see, where's the book about eating lunch ?
    MOTyou brought that upstairs .
  10. MOTdo you know what these are ?
    MOTthose are trees .
    MOT*MOT: but they don't look like most of the trees in our book because these are pine trees .
    INVlike Christmas trees .
    MOTlike Christmas trees, that's right .

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. 01A eng_USA_Valian3.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/01a.cha01A 2;1.033,01510103.32

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. look10 · 100.0%