PHPCLANCHILDES with regular expressions

7 matches in 6 utterances

5.19 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (386 utterances, 1,350 words searched).

  1. let Mummy have that . MOT · eng_british_Manchester_II/liz01b.cha, line 280 · Liz 1;11
  2. let me see . INV · eng_british_Manchester_II/liz01b.cha, line 485 · Liz 1;11
  3. <let me> [/] let me undo the bag . INV · eng_british_Manchester_II/liz01b.cha, line 491 · Liz 1;11
  4. <let me> [/] let me undo the bag . INV · eng_british_Manchester_II/liz01b.cha, line 491 · Liz 1;11
  5. oh let's have a look . MOT · eng_british_Manchester_II/liz01b.cha, line 943 · Liz 1;11
  6. now let's have a look what's in this now . MOT · eng_british_Manchester_II/liz01b.cha, line 966 · Liz 1;11
  7. let me just wipe your bottom . MOT · eng_british_Manchester_II/liz01b.cha, line 1370 · Liz 1;11
  1. eng_british_Manchester_II/liz01b.cha, line 280 · Liz, 1;11.09
    MOTthere you go .
    MOToh dear .
    MOT*MOT: let Mummy have that .
    MOTand that one .
    MOTthank you .
  2. eng_british_Manchester_II/liz01b.cha, line 485 · Liz, 1;11.09
    INVyeah .
    INVokay .
    INV*INV: let me see .
    CHIwant more .
    INVyou want more ?
  3. eng_british_Manchester_II/liz01b.cha, line 491 · Liz, 1;11.09
    CHIwant more .
    INVyou want more ?
    INV*INV: <let me> [/] let me undo the bag .
    INVthere's Froggie .
    INVyou don't like Froggie, do you ?
  4. eng_british_Manchester_II/liz01b.cha, line 943 · Liz, 1;11.09
    CHITank .
    MOToh another Tank book .
    MOT*MOT: oh let's have a look .
    MOTthere's nobody in that one, is there ?
    CHITank .
  5. eng_british_Manchester_II/liz01b.cha, line 966 · Liz, 1;11.09
    MOTit's just a picture .
    MOTisn't it ?
    MOT*MOT: now let's have a look what's in this now .
    CHITank .
    MOToh: .
  6. eng_british_Manchester_II/liz01b.cha, line 1370 · Liz, 1;11.09
    CHIdown toilet .
    MOTI will .
    MOT*MOT: let me just wipe your bottom .
    CHIdown there .
    MOTyeah .

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. Liz eng_british_Manchester_II5.19
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz01b.chaLiz 1;11.091,350675.19

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. let7 · 100.0%