PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.76 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (498 utterances, 1,813 words searched).

  1. there's the train , look . MOT · eng_british_Manchester_II/nic20b.cha, line 854 · Nicole 2;07
  2. there's the train driver . MOT · eng_british_Manchester_II/nic20b.cha, line 895 · Nicole 2;07
  3. where're you going , Nicole on [/] <on this> [/] on this train anyway . MOT · eng_british_Manchester_II/nic20b.cha, line 1227 · Nicole 2;07
  4. you come and play with the train , look . MOT · eng_british_Manchester_II/nic20b.cha, line 1273 · Nicole 2;07
  5. I can see the train driver waving to you . MOT · eng_british_Manchester_II/nic20b.cha, line 1375 · Nicole 2;07
  1. eng_british_Manchester_II/nic20b.cha, line 854 · Nicole, 2;7.12
    MOTit looks very nice , doesn't it ?
    CHIxxx .
    MOT*MOT: there's the train , look .
    CHIxxx .
    CHIand that tea ready later .
  2. eng_british_Manchester_II/nic20b.cha, line 895 · Nicole, 2;7.12
    MOTsomebody else .
    MOTthere .
    MOT*MOT: there's the train driver .
    MOTthere .
    MOTwhat're you +//.
  3. eng_british_Manchester_II/nic20b.cha, line 1227 · Nicole, 2;7.12
    INVmake another tunnel .
    CHIxxx .
    MOT*MOT: where're you going , Nicole on [/] <on this> [/] on this train anyway .
    INVoh look .
    CHIoh look .
  4. eng_british_Manchester_II/nic20b.cha, line 1273 · Nicole, 2;7.12
    MOTno .
    MOTyou don't need to have +//.
    MOT*MOT: you come and play with the train , look .
    MOTwhat's he stopped for ?
    MOThas he stopped to get some more # petrol ?
  5. eng_british_Manchester_II/nic20b.cha, line 1375 · Nicole, 2;7.12
    MOTwave to them then .
    MOTbecause he's waving .
    MOT*MOT: I can see the train driver waving to you .
    MOTxxx going by .
    MOTbecause that's what happens , isn't it when we 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. Nicole eng_british_Manchester_II2.76
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic20b.chaNicole 2;7.121,813552.76

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. train5 · 100.0%