PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

12.84 per 1,000 words of the child (CHI), in 1 of 1 transcripts (407 utterances, 545 words searched).

  1. a train . CHI · eng_british_Manchester_I/becky07b.cha, line 895 · Becky 2;02
  2. a train . CHI · eng_british_Manchester_I/becky07b.cha, line 899 · Becky 2;02
  3. a train . CHI · eng_british_Manchester_I/becky07b.cha, line 903 · Becky 2;02
  4. where 0is [*] train ? CHI · eng_british_Manchester_I/becky07b.cha, line 923 · Becky 2;02
  5. train . CHI · eng_british_Manchester_I/becky07b.cha, line 952 · Becky 2;02
  6. go train . CHI · eng_british_Manchester_I/becky07b.cha, line 1188 · Becky 2;02
  7. go train . CHI · eng_british_Manchester_I/becky07b.cha, line 1190 · Becky 2;02
  1. MOTis that the chairs you want ?
    CHIno .
    CHI*CHI: a train .
    MOTpardon ?
    CHIa train .
  2. CHIa train .
    MOTpardon ?
    CHI*CHI: a train .
    MOTKing ?
    CHIa train .
  3. CHIa train .
    MOTKing ?
    CHI*CHI: a train .
    MOTtrain ?
    CHIyes .
  4. MOTlook .
    MOTthe trains are all here .
    CHI*CHI: where 0is [*] train ?
    MOTthis train do you mean ?
    CHIchair .
  5. CHII want a xxx .
    CHIno .
    CHI*CHI: train .
    CHIthere .
    CHIno .
  6. MOTthey're round for little xxx .
    MOTyeah .
    CHI*CHI: go train .
    CHIgo train .
    MOTare they going on the train ?
  7. MOTyeah .
    CHIgo train .
    CHI*CHI: go train .
    MOTare they going on the train ?
    CHIyeah .

Matches by age

One dot per transcript: matches per 1,000 words of the child (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. Becky eng_british_Manchester_I12.84
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky07b.chaBecky 2;2.155457712.84

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. train7 · 100.0%