PHPCLANCHILDES with regular expressions

16 matches in 15 utterances

8.99 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (414 utterances, 1,779 words searched).

  1. there we go . MOT · eng_british_Manchester_II/warr11b.cha, line 149 · Warren 2;01
  2. there we go . MOT · eng_british_Manchester_II/warr11b.cha, line 332 · Warren 2;01
  3. what other animals are there ? MOT · eng_british_Manchester_II/warr11b.cha, line 391 · Warren 2;01
  4. what other animals are there in the box ? MOT · eng_british_Manchester_II/warr11b.cha, line 396 · Warren 2;01
  5. they're in there . MOT · eng_british_Manchester_II/warr11b.cha, line 416 · Warren 2;01
  6. oh there's another one . MOT · eng_british_Manchester_II/warr11b.cha, line 448 · Warren 2;01
  7. I didn't realize there were three . MOT · eng_british_Manchester_II/warr11b.cha, line 450 · Warren 2;01
  8. there's three men . MOT · eng_british_Manchester_II/warr11b.cha, line 453 · Warren 2;01
  9. there's not enough for three one there pet . MOT · eng_british_Manchester_II/warr11b.cha, line 475 · Warren 2;01
  10. there's not enough for three one there pet . MOT · eng_british_Manchester_II/warr11b.cha, line 475 · Warren 2;01
  11. there's only enough for three on the car . MOT · eng_british_Manchester_II/warr11b.cha, line 478 · Warren 2;01
  12. there's twenty pence change . MOT · eng_british_Manchester_II/warr11b.cha, line 750 · Warren 2;01
  13. what's in there ? MOT · eng_british_Manchester_II/warr11b.cha, line 896 · Warren 2;01
  14. there are two aubergines . MOT · eng_british_Manchester_II/warr11b.cha, line 978 · Warren 2;01
  15. who do you think you are lying there like that , Warren ? MOT · eng_british_Manchester_II/warr11b.cha, line 1068 · Warren 2;01
  16. there's plenty of toys . MOT · eng_british_Manchester_II/warr11b.cha, line 1092 · Warren 2;01
  1. MOTokay .
    MOTand the other one .
    MOT*MOT: there we go .
    CHIthat one .
    MOTokay .
  2. MOTthat's a good tower .
    CHII make a tower .
    MOT*MOT: there we go .
    MOTis that better ?
    MOTis she warm now ?
  3. CHIdolly .
    CHIput away .
    MOT*MOT: what other animals are there ?
    MOTyou've got the fish out and you've got the tiger out .
    MOTwhat other animals are there in the box ?
  4. MOTwhat other animals are there ?
    MOTyou've got the fish out and you've got the tiger out .
    MOT*MOT: what other animals are there in the box ?
    MOTcan you remember ?
    CHIone two three four five .
  5. CHImen gone .
    MOTyou find the men .
    MOT*MOT: they're in there .
    MOTI can see one .
    CHIthere .
  6. CHIthere .
    CHImen drive .
    MOT*MOT: oh there's another one .
    MOTI didn't realize there were three .
    MOTthere's three men .
  7. CHImen drive .
    MOToh there's another one .
    MOT*MOT: I didn't realize there were three .
    MOTthere's three men .
    MOTone two three .
  8. MOToh there's another one .
    MOTI didn't realize there were three .
    MOT*MOT: there's three men .
    MOTone two three .
    CHIoh the car .
  9. CHIthat one there .
    CHIthat one's on .
    MOT*MOT: there's not enough for three one there pet .
    MOTthere's only enough for three on the car .
    CHIother one .
  10. CHIthat one's on .
    MOTthere's not enough for three one there pet .
    MOT*MOT: there's only enough for three on the car .
    CHIother one .
    CHIthat one .
  11. MOTokay .
    MOThold your hand out and I'll give you some change .
    MOT*MOT: there's twenty pence change .
    MOTlook after it .
    CHIxxx .
  12. MOTthat's not cat+food .
    MOTwhere's the picture of the cat on it ?
    MOT*MOT: what's in there ?
    MOTbeans .
    CHIbeans .
  13. MOTlook .
    MOTyou had a choice of two .
    MOT*MOT: there are two aubergines .
    MOTa fat aubergine and a thin aubergine .
    CHIapple .
  14. CHImore toys .
    INVhaven't got any more .
    MOT*MOT: who do you think you are lying there like that , Warren ?
    CHImore toys , Mummy .
    MOTpardon ?
  15. CHImore toys , Mummy .
    CHImore toys , Mummy .
    MOT*MOT: there's plenty of toys .
    CHImore toys .
    MOTgreedy .

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. Warren eng_british_Manchester_II8.99
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr11b.chaWarren 2;1.281,77915168.99

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. there16 · 100.0%