PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.11 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (398 utterances, 1,702 words searched).

  1. two . MOT · eng_british_Manchester_II/john08a.cha, line 312 · John 2;01
  2. two . MOT · eng_british_Manchester_II/john08a.cha, line 343 · John 2;01
  3. one two three and four cotton reels now . MOT · eng_british_Manchester_II/john08a.cha, line 392 · John 2;01
  4. where are your two cars ? MOT · eng_british_Manchester_II/john08a.cha, line 484 · John 2;01
  5. you've got two little cars in there as well , haven't you ? MOT · eng_british_Manchester_II/john08a.cha, line 658 · John 2;01
  6. shall we have a race with our two cars , John ? MOT · eng_british_Manchester_II/john08a.cha, line 743 · John 2;01
  7. shall we have a race with our two cars ? MOT · eng_british_Manchester_II/john08a.cha, line 801 · John 2;01
  1. MOTit's difficult , isn't it when it's all fluffy ?
    MOTthat's better .
    MOT*MOT: two .
    MOTand another one .
    CHInecklace .
  2. MOThow many cotton reels have you got now ?
    MOTone .
    MOT*MOT: two .
    MOTthree .
    MOTthree cotton reels .
  3. CHIgot a xxx .
    CHItwo .
    MOT*MOT: one two three and four cotton reels now .
    MOTthey make good noises , don't they ?
    MOTsome more .
  4. MOTwhere are your cars , John ?
    MOTJohn .
    MOT*MOT: where are your two cars ?
    MOTare they in +/.
    CHIMummy's .
  5. MOToh all right .
    MOTI was gonna [: going to] say too many cars in there .
    MOT*MOT: you've got two little cars in there as well , haven't you ?
    MOToh John .
    MOTI think they're coming out <the other> [/] the other entrance .
  6. CHIclock .
    CHIthat's a clock .
    MOT*MOT: shall we have a race with our two cars , John ?
    CHIJohn .
    MOTcome on nosey .
  7. INVthere you go .
    MOTJohn .
    MOT*MOT: shall we have a race with our two cars ?
    MOTthey don't go so well across the carpet but +...
    MOTthere .

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. John eng_british_Manchester_II4.11
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/john08a.chaJohn 2;1.241,702774.11

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. two7 · 100.0%