PHPCLANCHILDES with regular expressions

14 matches in 14 utterances

6.86 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (535 utterances, 2,040 words searched).

  1. this one we count , look . MOT · eng_british_Manchester_II/nic21a.cha, line 881 · Nicole 2;08
  2. let's go through it , look . MOT · eng_british_Manchester_II/nic21a.cha, line 886 · Nicole 2;08
  3. oh look . MOT · eng_british_Manchester_II/nic21a.cha, line 1019 · Nicole 2;08
  4. let's go through the book and look at it first . MOT · eng_british_Manchester_II/nic21a.cha, line 1025 · Nicole 2;08
  5. but can you keep , look +... MOT · eng_british_Manchester_II/nic21a.cha, line 1040 · Nicole 2;08
  6. come on back , look . MOT · eng_british_Manchester_II/nic21a.cha, line 1214 · Nicole 2;08
  7. look . MOT · eng_british_Manchester_II/nic21a.cha, line 1319 · Nicole 2;08
  8. look at this lovely balloon I'm doing with the clown's face . MOT · eng_british_Manchester_II/nic21a.cha, line 1321 · Nicole 2;08
  9. look . MOT · eng_british_Manchester_II/nic21a.cha, line 1534 · Nicole 2;08
  10. let me have a look in your mouth . MOT · eng_british_Manchester_II/nic21a.cha, line 1570 · Nicole 2;08
  11. let me have a look in your mouth . MOT · eng_british_Manchester_II/nic21a.cha, line 1573 · Nicole 2;08
  12. let's [//] let me have a look . MOT · eng_british_Manchester_II/nic21a.cha, line 1576 · Nicole 2;08
  13. I don't want to look . MOT · eng_british_Manchester_II/nic21a.cha, line 1583 · Nicole 2;08
  14. what does it look like to you ? MOT · eng_british_Manchester_II/nic21a.cha, line 1730 · Nicole 2;08
  1. CHIin here .
    MOTlet's get on the floor then .
    MOT*MOT: this one we count , look .
    MOTone dozing xxx .
    MOTlet's go through it , look .
  2. MOTthis one we count , look .
    MOTone dozing xxx .
    MOT*MOT: let's go through it , look .
    MOTand then you can pick out which one you're going to do .
    CHIright .
  3. CHIno .
    MOTright ?
    MOT*MOT: oh look .
    CHIcats .
    MOTfour kittens in mittens .
  4. CHIcats .
    MOTfour kittens in mittens .
    MOT*MOT: let's go through the book and look at it first .
    MOTfour kittens in mittens .
    CHIdon't do that .
  5. CHIdo that .
    MOTyeah .
    MOT*MOT: but can you keep , look +...
    MOTtry and keep them in the lines otherwise you can't tell what it is when you've finished .
    CHINicole can't do that .
  6. MOThmm ?
    CHIman come a kitten .
    MOT*MOT: come on back , look .
    CHII got a kitten .
    MOTalright then .
  7. CHIMummy xxx .
    CHIMummy .
    MOT*MOT: look .
    MOTlook at this lovely balloon I'm doing with the clown's face .
    CHINicole get that on .
  8. CHIMummy .
    MOTlook .
    MOT*MOT: look at this lovely balloon I'm doing with the clown's face .
    CHINicole get that on .
    MOTyou [/] you can't do a lovely balloon like this , can you ?
  9. MOTare you going to stop it ?
    MOTare you going to stop it , Nicole ?
    MOT*MOT: look .
    MOTsit down and watch me .
    MOTwhat [/] what color's my rabbit ?
  10. MOTit's dangerous .
    MOTopen [/] open wide .
    MOT*MOT: let me have a look in your mouth .
    MOTlet me have a look in your mouth .
    MOTlet's [//] let me have a look .
  11. MOTopen [/] open wide .
    MOTlet me have a look in your mouth .
    MOT*MOT: let me have a look in your mouth .
    MOTlet's [//] let me have a look .
    MOTsee if you've got all your teeth .
  12. MOTlet me have a look in your mouth .
    MOTlet me have a look in your mouth .
    MOT*MOT: let's [//] let me have a look .
    MOTsee if you've got all your teeth .
    MOTalright then .
  13. MOTsee if you've got all your teeth .
    MOTalright then .
    MOT*MOT: I don't want to look .
    MOTI'm not bothered whether you've got all your teeth .
    CHIxxx .
  14. CHIwhat that ?
    MOTthat looks like a tortoise to me .
    MOT*MOT: what does it look like to you ?
    CHItortoise .
    MOTa what ?

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. Nicole eng_british_Manchester_II6.86
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic21a.chaNicole 2;8.292,04014146.86

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. look14 · 100.0%