PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

5.83 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (485 utterances, 1,715 words searched).

  1. fish are very tricky to touch . MOT · eng_british_Manchester_I/anne21b.cha, line 313 · Anne 2;05
  2. there we are . MOT · eng_british_Manchester_I/anne21b.cha, line 550 · Anne 2;05
  3. are her pants wet ? MOT · eng_british_Manchester_I/anne21b.cha, line 675 · Anne 2;05
  4. or are these dry ones ? MOT · eng_british_Manchester_I/anne21b.cha, line 679 · Anne 2;05
  5. are you gonna [: going to] get her some dinner ? MOT · eng_british_Manchester_I/anne21b.cha, line 786 · Anne 2;05
  6. are you making sure she doesn't fall out ? MOT · eng_british_Manchester_I/anne21b.cha, line 836 · Anne 2;05
  7. are you going to find her a spoon ? MOT · eng_british_Manchester_I/anne21b.cha, line 1273 · Anne 2;05
  8. what are you doing ? MOT · eng_british_Manchester_I/anne21b.cha, line 1463 · Anne 2;05
  9. when you are bigger you can go to school . MOT · eng_british_Manchester_I/anne21b.cha, line 1506 · Anne 2;05
  10. you are nearly big . MOT · eng_british_Manchester_I/anne21b.cha, line 1511 · Anne 2;05
  1. MOTno .
    MOTno .
    MOT*MOT: fish are very tricky to touch .
    CHIyes .
    CHIand fish sharp .
  2. CHIput dress on .
    MOTvery hard hat to get on .
    MOT*MOT: there we are .
    CHIput these on .
    MOTwhere's she gonna [: going to] put those on ?
  3. CHIxxx [>] .
    MOT<they're> [<] wet anyway .
    MOT*MOT: are her pants wet ?
    CHIno .
    MOTor are these dry ones ?
  4. MOTare her pants wet ?
    CHIno .
    MOT*MOT: or are these dry ones ?
    CHIno .
    CHIoh .
  5. MOThair up .
    MOTthere you go .
    MOT*MOT: are you gonna [: going to] get her some dinner ?
    CHII don't know .
    MOTyou don't know .
  6. MOTdoes she want some of this nice food for her dinner ?
    CHII put it round your back .
    MOT*MOT: are you making sure she doesn't fall out ?
    MOTshe could sit on your little chair .
    MOTor the green chair over there .
  7. MOTthat's a good table .
    CHIwant xxx my juice .
    MOT*MOT: are you going to find her a spoon ?
    MOTand bowl .
    CHIwe need a bottle .
  8. MOTshe's had a good sleep ,, has she ?
    MOTthat's good .
    MOT*MOT: what are you doing ?
    MOTwww .
    CHIoh .
  9. MOTthat's right .
    MOTyeah .
    MOT*MOT: when you are bigger you can go to school .
    CHII nearly big .
    MOTyou are nearly big .
  10. MOTwhen you are bigger you can go to school .
    CHII nearly big .
    MOT*MOT: you are nearly big .
    MOTyes .
    CHInot big yet .

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_I5.83
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne21b.chaAnne 2;5.021,71510105.83

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. are10 · 100.0%