PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

4.72 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (491 utterances, 1,696 words searched).

  1. there's a train here , look . MOT · eng_british_Manchester_II/nic15b.cha, line 727 · Nicole 2;05
  2. here's the train , look . MOT · eng_british_Manchester_II/nic15b.cha, line 1106 · Nicole 2;05
  3. what else goes on the train ? MOT · eng_british_Manchester_II/nic15b.cha, line 1122 · Nicole 2;05
  4. what shall we have in the train ? MOT · eng_british_Manchester_II/nic15b.cha, line 1132 · Nicole 2;05
  5. what shall we put in the train ? MOT · eng_british_Manchester_II/nic15b.cha, line 1134 · Nicole 2;05
  6. who shall we put in the train ? MOT · eng_british_Manchester_II/nic15b.cha, line 1148 · Nicole 2;05
  7. who shall we put in the train ? MOT · eng_british_Manchester_II/nic15b.cha, line 1154 · Nicole 2;05
  8. think the elephant would like to go in the train ? MOT · eng_british_Manchester_II/nic15b.cha, line 1162 · Nicole 2;05
  1. CHIdoing xxx .
    CHIand Nicole having xxx .
    MOT*MOT: there's a train here , look .
    CHIthis .
    MOTmmhm .
  2. CHIright .
    CHIno no .
    MOT*MOT: here's the train , look .
    CHIthere .
    CHIthat xxx .
  3. MOToh dear .
    MOToh .
    MOT*MOT: what else goes on the train ?
    MOTthat does , doesn't it ?
    MOTthe cart .
  4. CHIthere .
    CHIxxx .
    MOT*MOT: what shall we have in the train ?
    MOTwhat shall we put in the train ?
    MOTshall we put something in it ?
  5. CHIxxx .
    MOTwhat shall we have in the train ?
    MOT*MOT: what shall we put in the train ?
    MOTshall we put something in it ?
    CHIyeah .
  6. CHIyeah .
    MOTwell .
    MOT*MOT: who shall we put in the train ?
    CHIhere .
    MOTanother brick ?
  7. CHIhere .
    MOTanother brick ?
    MOT*MOT: who shall we put in the train ?
    MOThmm ?
    CHIno no no .
  8. CHIno no no .
    MOTwhat about the elephant ?
    MOT*MOT: think the elephant would like to go in the train ?
    CHIxxx that .
    MOThmm ?

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_II4.72
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic15b.chaNicole 2;5.261,696884.72

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. train8 · 100.0%