PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

5.05 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (371 utterances, 1,980 words searched).

  1. you've got two teddys in baskets , haven't you ? MOT · eng_british_Manchester_II/warr15a.cha, line 62 · Warren 2;03
  2. we've got one in . MOT · eng_british_Manchester_II/warr15a.cha, line 102 · Warren 2;03
  3. we've got a teddy in the orange basket now . MOT · eng_british_Manchester_II/warr15a.cha, line 104 · Warren 2;03
  4. it's got lots of drink in for him . MOT · eng_british_Manchester_II/warr15a.cha, line 237 · Warren 2;03
  5. who's the lady got in her wheelbarrow now ? MOT · eng_british_Manchester_II/warr15a.cha, line 567 · Warren 2;03
  6. oh we've got a man pushing the wheelbarrow now . MOT · eng_british_Manchester_II/warr15a.cha, line 597 · Warren 2;03
  7. well you've got keys . MOT · eng_british_Manchester_II/warr15a.cha, line 959 · Warren 2;03
  8. you haven't actually got many things that are red and blue together . MOT · eng_british_Manchester_II/warr15a.cha, line 1178 · Warren 2;03
  9. who has Thomas got with him ? MOT · eng_british_Manchester_II/warr15a.cha, line 1260 · Warren 2;03
  10. he's got stuck under the bridge . MOT · eng_british_Manchester_II/warr15a.cha, line 1475 · Warren 2;03
  1. eng_british_Manchester_II/warr15a.cha, line 62 · Warren, 2;3.02
    MOTis that a nice teddy ?
    MOToh look .
    MOT*MOT: you've got two teddys in baskets , haven't you ?
    CHII have another one .
    MOTyou just need to get the orange teddy in the orange basket .
  2. eng_british_Manchester_II/warr15a.cha, line 102 · Warren, 2;3.02
    CHIthat's come out .
    MOToh .
    MOT*MOT: we've got one in .
    MOTwe've got a teddy in the orange basket now .
    MOThave to hold it up a bit more like that .
  3. eng_british_Manchester_II/warr15a.cha, line 104 · Warren, 2;3.02
    MOToh .
    MOTwe've got one in .
    MOT*MOT: we've got a teddy in the orange basket now .
    MOThave to hold it up a bit more like that .
    CHIoh that's a nice teddy .
  4. eng_british_Manchester_II/warr15a.cha, line 237 · Warren, 2;3.02
    CHIbaby tiger saucer .
    MOTnow I need to put it down carefully .
    MOT*MOT: it's got lots of drink in for him .
    MOTthere we go .
    MOTis that better baby tiger ?
  5. eng_british_Manchester_II/warr15a.cha, line 567 · Warren, 2;3.02
    MOTthey like water as well .
    MOTthey're good swimmers .
    MOT*MOT: who's the lady got in her wheelbarrow now ?
    MOTwho's in her wheelbarrow ?
    CHIthe man .
  6. eng_british_Manchester_II/warr15a.cha, line 597 · Warren, 2;3.02
    MOThold the hands still and then go pop pop .
    MOTthere you are .
    MOT*MOT: oh we've got a man pushing the wheelbarrow now .
    MOThe can push the old lady .
    CHIno .
  7. eng_british_Manchester_II/warr15a.cha, line 959 · Warren, 2;3.02
    CHIWarren get a key .
    CHIwant get a key .
    MOT*MOT: well you've got keys .
    MOThere .
    MOTwith your light .
  8. eng_british_Manchester_II/warr15a.cha, line 1178 · Warren, 2;3.02
    MOTthis is red and blue .
    MOTthat's red wheels and blue trailer .
    MOT*MOT: you haven't actually got many things that are red and blue together .
    MOTwhat's that taxi up to ?
    MOTwhat's it doing ?
  9. eng_british_Manchester_II/warr15a.cha, line 1260 · Warren, 2;3.02
    MOTthere's the main railway line .
    MOTThomas is puffing along his branch+line .
    MOT*MOT: who has Thomas got with him ?
    CHIClarabel .
    MOTClarabel and +...
  10. eng_british_Manchester_II/warr15a.cha, line 1475 · Warren, 2;3.02
    MOToh right .
    MOTBulgie turns into a hen house , doesn't he ?
    MOT*MOT: he's got stuck under the bridge .
    MOToh who are these ?
    MOTwho are these ?

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_II5.05
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr15a.chaWarren 2;3.021,98010105.05

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. got10 · 100.0%