PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

3.97 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (646 utterances, 2,265 words searched).

  1. that's a nice big juice strawberry ,, isn't it ? MOT · eng_british_Manchester_I/anne13b.cha, line 309 · Anne 2;02
  2. that's a big cough ,, isn't it ? MOT · eng_british_Manchester_I/anne13b.cha, line 878 · Anne 2;02
  3. making a big hole there now . MOT · eng_british_Manchester_I/anne13b.cha, line 1127 · Anne 2;02
  4. I think I'm gonna [: going to] build a big tower . MOT · eng_british_Manchester_I/anne13b.cha, line 1178 · Anne 2;02
  5. you've got big shoes on , look . INV · eng_british_Manchester_I/anne13b.cha, line 1257 · Anne 2;02
  6. they're like big shoes . MOT · eng_british_Manchester_I/anne13b.cha, line 1263 · Anne 2;02
  7. I'm building a big tower of yellow bricks , Anne . MOT · eng_british_Manchester_I/anne13b.cha, line 1412 · Anne 2;02
  8. I've built a great big yellow tower . MOT · eng_british_Manchester_I/anne13b.cha, line 1915 · Anne 2;02
  9. we like the nice big ones ,, don't we ? MOT · eng_british_Manchester_I/anne13b.cha, line 1960 · Anne 2;02
  1. MOToh .
    MOTthank you .
    MOT*MOT: that's a nice big juice strawberry ,, isn't it ?
    CHIxxx .
    MOTtake it out your mouth a bit .
  2. MOTthere he goes .
    MOToh dear .
    MOT*MOT: that's a big cough ,, isn't it ?
    MOToh .
    MOTwhat've you done to her ribbon ?
  3. MOTtell you what .
    MOTif we move that one perhaps he'll fit in this +//.
    MOT*MOT: making a big hole there now .
    CHIno .
    MOTno ?
  4. MOTxxx tipped them all out .
    MOTright .
    MOT*MOT: I think I'm gonna [: going to] build a big tower .
    CHItip it out .
    MOTall [/] all with the yellow ones .
  5. MOToh .
    INVoh .
    INV*INV: you've got big shoes on , look .
    INVa blue shoe and yellow shoe .
    CHIwhat ?
  6. INVa blue shoe and yellow shoe .
    CHIwhat ?
    MOT*MOT: they're like big shoes .
    MOToh wash .
    MOTwash her face .
  7. MOTnow where're you going ?
    MOTyou look like you're going to the shops to me .
    MOT*MOT: I'm building a big tower of yellow bricks , Anne .
    INVAnne's going to sleep .
    MOTAnne's going to sleep ,, is she ?
  8. MOThmm ?
    MOTlook .
    MOT*MOT: I've built a great big yellow tower .
    MOTthought you might help me .
    MOTcan you help me make it taller ?
  9. CHIno .
    MOTwhich one now ?
    MOT*MOT: we like the nice big ones ,, don't we ?
    MOTwhoops .
    MOTthere we go .

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. Anne eng_british_Manchester_I3.97
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne13b.chaAnne 2;2.102,265993.97

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. big9 · 100.0%