PHPCLANCHILDES with regular expressions

7 matches in 6 utterances

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

  1. yes but I tell you want <listen listen sh sh> [>] . FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 13 · Jeremy 2;06
  2. yes yes Jeremy listen listen . FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 15 · Jeremy 2;06
  3. yes yes Jeremy listen listen . FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 15 · Jeremy 2;06
  4. yes ? FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 43 · Jeremy 2;06
  5. that big brick yes, you put it on here . FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 59 · Jeremy 2;06
  6. yes you have . FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 117 · Jeremy 2;06
  7. look one two three four five yes six . FAT · bilingual_eng_french_Watkins/a02wat01.cha, line 184 · Jeremy 2;06
  1. FATwe'll have a look at pudding and pie in a moment .
    CHIno I xx [= want] pudding+and+pie .
    FAT*FAT: yes but I tell you want <listen listen sh sh> [>] .
    CHI<no I xx xx [= want pudding+and+pie]> [<] .
    FATyes yes Jeremy listen listen .
  2. FATyes but I tell you want <listen listen sh sh> [>] .
    CHI<no I xx xx [= want pudding+and+pie]> [<] .
    FAT*FAT: yes yes Jeremy listen listen .
    FATwhat I thought I'd is that because you see you're going to go to bed quite soon .
    CHIno xx xx [= I want] pudding+and+pie .
  3. FATokay so for the moment you see we're just going to build this bridge .
    FATam I building the bridge the way you want ?
    FAT*FAT: yes ?
    FATcome on .
    FATcan you get your train under there or not ?
  4. FATdo you see that big brick there .
    CHIthis big brick ?
    FAT*FAT: that big brick yes, you put it on here .
    CHIxxx xxx this brick this brick .
    FAToh no that's too big .
  5. FAThaven't you got a nappy on ?
    CHIno .
    FAT*FAT: yes you have .
    CHIxxx . [+ trn]
    FATcrash you've made a .
  6. 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 ?

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;6.27971677.21

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. yes7 · 100.0%