PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.35 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (604 utterances, 2,087 words searched).

  1. <make some fresh air> [>] ? MOT · eng_british_Manchester_II/joel21a.cha, line 618 · Joel 2;06
  2. <make some fresh air> [<] ? INV · eng_british_Manchester_II/joel21a.cha, line 620 · Joel 2;06
  3. we'll have to get you some more blue+tack . MOT · eng_british_Manchester_II/joel21a.cha, line 1253 · Joel 2;06
  4. shall we nick some more +... MOT · eng_british_Manchester_II/joel21a.cha, line 1343 · Joel 2;06
  5. you got some really good books , didn't you ? MOT · eng_british_Manchester_II/joel21a.cha, line 1460 · Joel 2;06
  6. you had some of that yesterday , didn't you ? MOT · eng_british_Manchester_II/joel21a.cha, line 1551 · Joel 2;06
  7. she planted some seeds and bulbs and things . MOT · eng_british_Manchester_II/joel21a.cha, line 1659 · Joel 2;06
  1. INVpardon ?
    CHII make some fresh air .
    MOT*MOT: <make some fresh air> [>] ?
    INV<make some fresh air> [<] ?
    MOTthere , look .
  2. CHII make some fresh air .
    MOT<make some fresh air> [>] ?
    INV*INV: <make some fresh air> [<] ?
    MOTthere , look .
    MOTscrewdriver .
  3. MOTit's too cold up there anyway .
    MOTand half your pictures are falling down , aren't they ?
    MOT*MOT: we'll have to get you some more blue+tack .
    MOTand daddy pinched most of it just to put that thing on .
    MOTexciting christmas decorations , aren't they ?
  4. CHIxxx .
    MOTright .
    MOT*MOT: shall we nick some more +...
    MOTright .
    MOTlike that .
  5. INVokay .
    MOTwe could see what books you got .
    MOT*MOT: you got some really good books , didn't you ?
    CHIyeah .
    INVyeah .
  6. CHII had that .
    MOTyeah .
    MOT*MOT: you had some of that yesterday , didn't you ?
    CHIxxx .
    CHIthis egg .
  7. MOTon the xxx .
    MOTAli did that , didn't she ?
    MOT*MOT: she planted some seeds and bulbs and things .
    MOTthere's a seed , look .
    CHIyeah .

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. Joel eng_british_Manchester_II3.35
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/joel21a.chaJoel 2;6.052,087773.35

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. some7 · 100.0%