PHPCLANCHILDES with regular expressions

14 matches in 12 utterances

14.42 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (144 utterances, 971 words searched).

  1. we'll have a look at pudding and pie in a moment . FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 11 · Jeremy 2;06
  2. look . FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 69 · Jeremy 2;06
  3. well there are plenty of bricks here look . FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 79 · Jeremy 2;06
  4. look you see, then we're going to put them up to here . FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 138 · Jeremy 2;06
  5. oh look at that, that's rather clever, I'm rather proud of that . FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 154 · Jeremy 2;06
  6. look # look look Jeremy . FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 158 · Jeremy 2;06
  7. look # look look Jeremy . FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 158 · Jeremy 2;06
  8. look # look look Jeremy . FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 158 · Jeremy 2;06
  9. look one two three four five six . FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 180 · Jeremy 2;06
  10. look one two three four five yes six . FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 184 · Jeremy 2;06
  11. look you see Jeremy . FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 188 · Jeremy 2;06
  12. and Jeremy look what about this for an idea ? FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 215 · Jeremy 2;06
  13. look at that Jeremy . FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 245 · Jeremy 2;06
  14. shall we ask Mummy to come and have a look ? FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 248 · Jeremy 2;06
  1. FATok come on let's finish this bridge first ok ?
    CHIno I xx [= want] pudding+and+pie .
    FAT*FAT: we'll have a look at pudding and pie in a moment .
    CHIno I xx [= want] pudding+and+pie .
    FATyes but I tell you want <listen listen sh sh> [>] .
  2. FATwhat about that for a bridge ?
    FATthat's a fantastic bridge that don't you think ?
    FAT*FAT: look .
    FATnow what do you want now, do you want to put your garage on top ?
    CHIyes .
  3. FATsome more bricks ?
    CHIyes .
    FAT*FAT: well there are plenty of bricks here look .
    FATthere're some bricks there .
    FATthere're some bricks there .
  4. CHIyes .
    FATI've got an idea Jeremy, we can make some steps like this .
    FAT*FAT: look you see, then we're going to put them up to here .
    CHIxx .
    FATdo you think Mummy wants to come and see our bridge ?
  5. CHIhere and then there xx .
    CHII am this way .
    FAT*FAT: oh look at that, that's rather clever, I'm rather proud of that .
    FATdon't you think that's good ?
    FATnow what we want is, <we'll take those out> [>] .
  6. FATnow what we want is, <we'll take those out> [>] .
    CHIan [//] and this .
    FAT*FAT: look # look look Jeremy .
    FATwhat about that for some steps ?
    FATare they good steps ?
  7. FATwhy don't you try fitting it in under here ?
    FATI'm sure you've got enough .
    FAT*FAT: look one two three four five six .
    FAThow many have you got ?
    CHII want this .
  8. CHII want this .
    FATyou've got six steps there haven't you ?
    FAT*FAT: look one two three four five yes six .
    FATyou put it under here .
    FATshall I put it in for you ?
  9. FATshall I put it in for you ?
    CHIno I make a more of it .
    FAT*FAT: look you see Jeremy .
    CHIno no I haven't finished yet .
    FATyou haven't finished yet ?
  10. FATyou want to put that up here like that .
    CHIno no not like that like xx .
    FAT*FAT: and Jeremy look what about this for an idea ?
    FATcan I show you ?
    CHIoh no I've <broken it> [>] .
  11. CHIxx xx xx [=? look at me] .
    CHIxxx . [+ trn]
    FAT*FAT: look at that Jeremy .
    FATdo you think that's good ?
    CHIyes .
  12. FATdo you think that's good ?
    CHIyes .
    FAT*FAT: shall we ask Mummy to come and have a look ?
    CHIyes .
    FATyou go and tell Mummy that we have a really good bridge to show her .

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. Jeremy bilingual_eng_french_Watkins14.42
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/a02wat01.chaJeremy 2;6.27971121414.42

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. look14 · 100.0%