PHPCLANCHILDES with regular expressions

15 matches in 13 utterances

6.42 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (589 utterances, 2,335 words searched).

  1. I've got two , look . MOT · eng_british_Manchester_II/nic19a.cha, line 49 · Nicole 2;07
  2. look what you're doing . MOT · eng_british_Manchester_II/nic19a.cha, line 90 · Nicole 2;07
  3. look . INV · eng_british_Manchester_II/nic19a.cha, line 112 · Nicole 2;07
  4. if we move them there , look you've got loads of room . MOT · eng_british_Manchester_II/nic19a.cha, line 516 · Nicole 2;07
  5. I think they look very very nice but I think you've got the wrong shoes on them . MOT · eng_british_Manchester_II/nic19a.cha, line 527 · Nicole 2;07
  6. because they're leggings , look to that jumper . MOT · eng_british_Manchester_II/nic19a.cha, line 534 · Nicole 2;07
  7. I'm just saying I think if you look at her jumper and you look at those socks or leggings they match . MOT · eng_british_Manchester_II/nic19a.cha, line 572 · Nicole 2;07
  8. I'm just saying I think if you look at her jumper and you look at those socks or leggings they match . MOT · eng_british_Manchester_II/nic19a.cha, line 572 · Nicole 2;07
  9. and let's look at their faces , look . MOT · eng_british_Manchester_II/nic19a.cha, line 684 · Nicole 2;07
  10. and let's look at their faces , look . MOT · eng_british_Manchester_II/nic19a.cha, line 684 · Nicole 2;07
  11. Caroline wants to look at your dominos . MOT · eng_british_Manchester_II/nic19a.cha, line 781 · Nicole 2;07
  12. look . INV · eng_british_Manchester_II/nic19a.cha, line 1333 · Nicole 2;07
  13. oh look . INV · eng_british_Manchester_II/nic19a.cha, line 1684 · Nicole 2;07
  14. look . MOT · eng_british_Manchester_II/nic19a.cha, line 1831 · Nicole 2;07
  15. doesn't she look nice ? MOT · eng_british_Manchester_II/nic19a.cha, line 1833 · Nicole 2;07
  1. CHIwell done .
    CHIoh .
    MOT*MOT: I've got two , look .
    MOThow many (ha)ve you got ?
    CHINicole got one .
  2. MOTotherwise we'll find Molly'll be coming to catch them for us .
    MOTNicole .
    MOT*MOT: look what you're doing .
    MOTxxx .
    CHINicole catch one .
  3. MOToh .
    MOTwww .
    INV*INV: look .
    MOTshall we have another game ?
    CHImmhm .
  4. CHIyeah .
    MOTwell .
    MOT*MOT: if we move them there , look you've got loads of room .
    MOTyou're too cramped up , aren't you ?
    MOTthere .
  5. MOTthere .
    MOTyou've just got this one to put together now .
    MOT*MOT: I think they look very very nice but I think you've got the wrong shoes on them .
    MOTdo you know why ?
    MOTbecause they're leggings , look to that jumper .
  6. MOTI think they look very very nice but I think you've got the wrong shoes on them .
    MOTdo you know why ?
    MOT*MOT: because they're leggings , look to that jumper .
    MOTand she's got her boots on .
    MOTand she's got her scarf on there .
  7. MOTwell .
    MOTput [/] put them there then if you want them to go there .
    MOT*MOT: I'm just saying I think if you look at her jumper and you look at those socks or leggings they match .
    MOTand I just think those should go there .
    MOTthat's all .
  8. MOTyou've got it in your hand .
    CHIyeah .
    MOT*MOT: and let's look at their faces , look .
    MOTdo you think that's a sad face ?
    CHIyeah .
  9. MOTCaroline +//.
    MOTyou see .
    MOT*MOT: Caroline wants to look at your dominos .
    MOTshall we get them out and show her ?
    CHIno .
  10. MOT<bring it> [//] bring the [/] the um playdough in here , Nicole .
    CHIno .
    INV*INV: look .
    INVif I do this I can hold them .
    INVready ?
  11. CHIring .
    CHIa ring , look .
    INV*INV: oh look .
    INVa ring .
    MOTa ring ?
  12. INVwww .
    MOTthere we go .
    MOT*MOT: look .
    MOTdoesn't she look nice ?
    CHINicole xxx .
  13. MOTthere we go .
    MOTlook .
    MOT*MOT: doesn't she look nice ?
    CHINicole xxx .
    CHINicole do that .

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_II6.42
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic19a.chaNicole 2;7.062,33513156.42

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. look15 · 100.0%