PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

2.91 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (705 utterances, 2,750 words searched).

  1. that's Rosie's feet . MOT · eng_british_Manchester_II/joel15b.cha, line 182 · Joel 2;03
  2. we need something with Rosie's bag on it . MOT · eng_british_Manchester_II/joel15b.cha, line 219 · Joel 2;03
  3. um Rosie's bag . MOT · eng_british_Manchester_II/joel15b.cha, line 222 · Joel 2;03
  4. can you see Rosie's bag ? MOT · eng_british_Manchester_II/joel15b.cha, line 224 · Joel 2;03
  5. I think I can see Rosie's bag . MOT · eng_british_Manchester_II/joel15b.cha, line 228 · Joel 2;03
  6. can you see Rosie's bag anywhere ? MOT · eng_british_Manchester_II/joel15b.cha, line 230 · Joel 2;03
  7. we need a bit of Rosie's head and we need one with [/] with John in the background . MOT · eng_british_Manchester_II/joel15b.cha, line 290 · Joel 2;03
  8. we need a bit with # bit of Rosie's face a bit of Jim's face and a bit of duck . MOT · eng_british_Manchester_II/joel15b.cha, line 450 · Joel 2;03
  1. MOTthat's it .
    CHIthat's Rosie [*] feet .
    MOT*MOT: that's Rosie's feet .
    MOTso where do they go ?
    MOTum don't think it quite fits that one .
  2. MOTand Jim's stripey socks .
    MOTso what do we need there ?
    MOT*MOT: we need something with Rosie's bag on it .
    MOTum Rosie's bag .
    MOTcan you see Rosie's bag ?
  3. MOTso what do we need there ?
    MOTwe need something with Rosie's bag on it .
    MOT*MOT: um Rosie's bag .
    MOTcan you see Rosie's bag ?
    CHIxxx .
  4. MOTwe need something with Rosie's bag on it .
    MOTum Rosie's bag .
    MOT*MOT: can you see Rosie's bag ?
    CHIxxx .
    MOTI think I can see Rosie's bag .
  5. MOTcan you see Rosie's bag ?
    CHIxxx .
    MOT*MOT: I think I can see Rosie's bag .
    MOTcan you see Rosie's bag anywhere ?
    MOTanywhere ?
  6. CHIxxx .
    MOTI think I can see Rosie's bag .
    MOT*MOT: can you see Rosie's bag anywhere ?
    MOTanywhere ?
    CHIthere it is .
  7. MOTdon't kick it .
    MOTdon't .
    MOT*MOT: we need a bit of Rosie's head and we need one with [/] with John in the background .
    MOTcan you see one with John on in the background ?
    MOThmm ?
  8. INVxxx .
    INVI know .
    MOT*MOT: we need a bit with # bit of Rosie's face a bit of Jim's face and a bit of duck .
    MOTcan you find it ?
    MOTthere you go .

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_II2.91
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/joel15b.chaJoel 2;3.252,750882.91

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. rosie's8 · 100.0%