PHPCLANCHILDES with regular expressions

11 matches in 11 utterances

6.17 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (470 utterances, 1,782 words searched).

  1. what do you think the panda might like to eat ? MOT · eng_british_Manchester_II/warr05b.cha, line 145 · Warren 1;11
  2. panda would like some apple . MOT · eng_british_Manchester_II/warr05b.cha, line 182 · Warren 1;11
  3. what do you like with your beans ? MOT · eng_british_Manchester_II/warr05b.cha, line 325 · Warren 1;11
  4. this goes in like that . MOT · eng_british_Manchester_II/warr05b.cha, line 514 · Warren 1;11
  5. mmm sounds like a tasty meal . MOT · eng_british_Manchester_II/warr05b.cha, line 594 · Warren 1;11
  6. does Warren like chips ? MOT · eng_british_Manchester_II/warr05b.cha, line 738 · Warren 1;11
  7. do you like chips ? MOT · eng_british_Manchester_II/warr05b.cha, line 740 · Warren 1;11
  8. no you don't like chips , do you ? MOT · eng_british_Manchester_II/warr05b.cha, line 746 · Warren 1;11
  9. that's like a mobile , isn't it ? MOT · eng_british_Manchester_II/warr05b.cha, line 862 · Warren 1;11
  10. it's not very exciting just flicking over it like that . MOT · eng_british_Manchester_II/warr05b.cha, line 893 · Warren 1;11
  11. which book would you like to read ? MOT · eng_british_Manchester_II/warr05b.cha, line 963 · Warren 1;11
  1. MOTjust sit there .
    MOTwe'll find some food , shall we ?
    MOT*MOT: what do you think the panda might like to eat ?
    CHIthat one .
    MOTwhat is it ?
  2. MOToh Warren eating the apple .
    CHImmhm .
    MOT*MOT: panda would like some apple .
    MOTcan panda have some apple ?
    CHImmm .
  3. MOTwho likes beans ?
    CHIWarren .
    MOT*MOT: what do you like with your beans ?
    CHIer toast .
    MOTthat's right .
  4. MOTno .
    MOTthis goes the other way up .
    MOT*MOT: this goes in like that .
    MOTcan you put the lid on ?
    MOTthat's it .
  5. MOTthe cabbage .
    MOTand an aubergine .
    MOT*MOT: mmm sounds like a tasty meal .
    MOTeggs cabbage and aubergine .
    MOTmmm .
  6. CHIWarren chips .
    MOTchips .
    MOT*MOT: does Warren like chips ?
    MOTdo you like chips ?
    CHIno .
  7. MOTchips .
    MOTdoes Warren like chips ?
    MOT*MOT: do you like chips ?
    CHIno .
    CHIthese off .
  8. CHIno .
    CHIthese off .
    MOT*MOT: no you don't like chips , do you ?
    CHIthat one .
    MOTthey're grapes .
  9. MOTright .
    MOTlet's look for stars here .
    MOT*MOT: that's like a mobile , isn't it ?
    MOTa star mobile .
    MOTlook .
  10. MOTjust don't get used to this sort of book .
    MOTwe won't [: willn't] have any more Disney books .
    MOT*MOT: it's not very exciting just flicking over it like that .
    MOTlook .
    MOTthere's an Easter egg with a pink bow on it .
  11. MOTbooks are out .
    MOTthat's right .
    MOT*MOT: which book would you like to read ?
    CHIthat one .
    MOTthat one okay .

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_II6.17
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr05b.chaWarren 1;11.261,78211116.17

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. like11 · 100.0%