PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.21 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (428 utterances, 2,178 words searched).

  1. let's get the pieces . MOT · eng_british_Manchester_II/warr17a.cha, line 583 · Warren 2;03
  2. can you see some pieces that look like that ? MOT · eng_british_Manchester_II/warr17a.cha, line 690 · Warren 2;03
  3. come and look at the pieces . MOT · eng_british_Manchester_II/warr17a.cha, line 693 · Warren 2;03
  4. can you see one on the pieces ? MOT · eng_british_Manchester_II/warr17a.cha, line 733 · Warren 2;03
  5. I think we're missing some pieces of this . MOT · eng_british_Manchester_II/warr17a.cha, line 870 · Warren 2;03
  6. let's have a look at the pieces we've got . MOT · eng_british_Manchester_II/warr17a.cha, line 907 · Warren 2;03
  7. so we've got two pieces left . MOT · eng_british_Manchester_II/warr17a.cha, line 922 · Warren 2;03
  1. CHIin squashed box .
    MOTright okay .
    MOT*MOT: let's get the pieces .
    MOTturn them the right way up .
    MOTyou turn some the right way up .
  2. MOTwhere's the mermaid's hair ?
    MOTit's this little bit you're looking for here .
    MOT*MOT: can you see some pieces that look like that ?
    MOTcome and look at the pieces .
    MOTno .
  3. MOTit's this little bit you're looking for here .
    MOTcan you see some pieces that look like that ?
    MOT*MOT: come and look at the pieces .
    MOTno .
    MOTit's not got the starfish on .
  4. MOTyeah .
    MOTthere's one here .
    MOT*MOT: can you see one on the pieces ?
    CHIno .
    CHIxxx .
  5. CHIthis there .
    MOTexcellent .
    MOT*MOT: I think we're missing some pieces of this .
    MOToh no .
    MOTthere's still that one there .
  6. MOTwe're looking for that one as well .
    MOTwe're looking for the fish's tail and the green seaweed .
    MOT*MOT: let's have a look at the pieces we've got .
    CHIthis one go there .
    MOTer what is that ?
  7. CHIthat's one's called [?] goes there .
    MOTthat's it .
    MOT*MOT: so we've got two pieces left .
    MOTwhere do they go ?
    CHIthere .

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. Warren eng_british_Manchester_II3.21
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr17a.chaWarren 2;3.252,178773.21

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. pieces7 · 100.0%