PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

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

  1. can I make steps ? FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 96 · Jeremy 2;06
  2. did Mummy make you steps ? FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 104 · Jeremy 2;06
  3. I've got an idea Jeremy, we can make some steps like this . FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 137 · Jeremy 2;06
  4. ok we'll make some more steps then . FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 164 · Jeremy 2;06
  5. don't you want me to make any steps ? FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 167 · Jeremy 2;06
  6. so you're going to make some steps that come down here . FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 170 · Jeremy 2;06
  7. I tell you what I can make some more steps with these . FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 192 · Jeremy 2;06
  1. FATwhat you're going to put that on there ?
    CHI<can ʌm@u [: you] make a step> [//] can you make a steps ?
    FAT*FAT: can I make steps ?
    CHIyes .
    FATsteps where ?
  2. FATok .
    FATwho gave you that idea ?
    FAT*FAT: did Mummy make you steps ?
    CHIyes .
    FATisn't Mummy clever ?
  3. FATfor people ?
    CHIyes .
    FAT*FAT: I've got an idea Jeremy, we can make some steps like this .
    FATlook you see, then we're going to put them up to here .
    CHIxx .
  4. FATyou want some more steps ?
    CHIyes .
    FAT*FAT: ok we'll make some more steps then .
    CHInot you .
    CHInot you .
  5. CHInot you .
    CHInot you .
    FAT*FAT: don't you want me to make any steps ?
    CHIno .
    CHIjə@u [//] you just one steps .
  6. CHIno .
    CHIjə@u [//] you just one steps .
    FAT*FAT: so you're going to make some steps that come down here .
    CHIyes .
    FATok .
  7. FATyou haven't finished yet ?
    CHIno .
    FAT*FAT: I tell you what I can make some more steps with these .
    CHIno not in this xx .
    FATno ?

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_Watkins7.21
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/a02wat01.chaJeremy 2;6.27971777.21

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. make7 · 100.0%