PHPCLANCHILDES with regular expressions

14 matches in 14 utterances

9.15 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (373 utterances, 1,530 words searched).

  1. can Nicole have one ? MOT · eng_british_Manchester_II/john29a.cha, line 373 · John 2;09
  2. have you got hiccups ? MOT · eng_british_Manchester_II/john29a.cha, line 401 · John 2;09
  3. you have to hold her head because it's all flippy+floppy . MOT · eng_british_Manchester_II/john29a.cha, line 587 · John 2;09
  4. not many of them have legs but that blue one's a good one . MOT · eng_british_Manchester_II/john29a.cha, line 683 · John 2;09
  5. can I have one ? MOT · eng_british_Manchester_II/john29a.cha, line 914 · John 2;09
  6. we'll have to work on this , won't [: willn't] we ? MOT · eng_british_Manchester_II/john29a.cha, line 924 · John 2;09
  7. can I have another one ? MOT · eng_british_Manchester_II/john29a.cha, line 931 · John 2;09
  8. I'll have some later . MOT · eng_british_Manchester_II/john29a.cha, line 982 · John 2;09
  9. what did you have for your breakfast today , John ? MOT · eng_british_Manchester_II/john29a.cha, line 998 · John 2;09
  10. did you have Weetabix for your breakfast this morning ? MOT · eng_british_Manchester_II/john29a.cha, line 1025 · John 2;09
  11. did you have three ? MOT · eng_british_Manchester_II/john29a.cha, line 1038 · John 2;09
  12. I suppose you have ducks on your farm , do you ? MOT · eng_british_Manchester_II/john29a.cha, line 1100 · John 2;09
  13. do you have ducks ? MOT · eng_british_Manchester_II/john29a.cha, line 1103 · John 2;09
  14. what do you have ? MOT · eng_british_Manchester_II/john29a.cha, line 1107 · John 2;09
  1. MOTand Nicole ?
    MOThas she got one ?
    MOT*MOT: can Nicole have one ?
    CHIthis 0is [*] for Nicole .
    MOTaah .
  2. MOTit's a green one , isn't it ?
    MOTwhere is the green heart ?
    MOT*MOT: have you got hiccups ?
    CHIoh this one .
    MOTaah .
  3. CHII like cuddle her .
    MOTokay .
    MOT*MOT: you have to hold her head because it's all flippy+floppy .
    MOToh dear .
    MOToh .
  4. MOToh Rosie .
    MOTthat's a good crown , John .
    MOT*MOT: not many of them have legs but that blue one's a good one .
    MOTdo you want to do your tens in blue ?
    CHIlike do the o@l-s .
  5. MOTJohn .
    MOTwhat about me ?
    MOT*MOT: can I have one ?
    MOT<no no> [/] no .
    MOToffer me the dish please .
  6. MOTbring the dish .
    MOTall right .
    MOT*MOT: we'll have to work on this , won't [: willn't] we ?
    MOTthank you .
    MOTvery nice grapes .
  7. MOTthank you .
    MOTvery nice grapes .
    MOT*MOT: can I have another one ?
    MOTplease .
    MOThey .
  8. MOTthey don't last for very long , do they ?
    CHIit's gone .
    MOT*MOT: I'll have some later .
    MOTwww .
    MOToh dear .
  9. MOToh .
    MOTI'll look after them .
    MOT*MOT: what did you have for your breakfast today , John ?
    MOTcome and tell me .
    MOTJohn .
  10. MOTstay here .
    MOTI don't want you running around too much .
    MOT*MOT: did you have Weetabix for your breakfast this morning ?
    CHIyes .
    MOToh jolly good .
  11. CHIone two three .
    MOTyou didn't .
    MOT*MOT: did you have three ?
    MOTgosh .
    MOTyou'll be very strong .
  12. CHIsucking .
    CHIsucking .
    MOT*MOT: I suppose you have ducks on your farm , do you ?
    MOTdo you have ducks ?
    CHIno .
  13. CHIsucking .
    MOTI suppose you have ducks on your farm , do you ?
    MOT*MOT: do you have ducks ?
    CHIno .
    MOTwhat do you have ?
  14. MOTdo you have ducks ?
    CHIno .
    MOT*MOT: what do you have ?
    CHII had a Harry_the_happy_horse .
    MOToh .

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. John eng_british_Manchester_II9.15
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/john29a.chaJohn 2;9.051,53014149.15

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. have14 · 100.0%