PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.52 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (341 utterances, 1,190 words searched).

  1. he's got a funny tail , has he ? MOT · eng_british_Manchester_I/becky15b.cha, line 385 · Becky 2;05
  2. that's made it all better , has it ? INV · eng_british_Manchester_I/becky15b.cha, line 985 · Becky 2;05
  3. he's licked your nose , has he ? MOT · eng_british_Manchester_I/becky15b.cha, line 1334 · Becky 2;05
  1. eng_british_Manchester_I/becky15b.cha, line 385 · Becky, 2;5.01
    INVgot a what ?
    CHIhe's got a funny .
    MOT*MOT: he's got a funny tail , has he ?
    CHIyeah .
    CHIlike my funny tail .
  2. eng_british_Manchester_I/becky15b.cha, line 985 · Becky, 2;5.01
    MOTwww .
    CHIthat's made you better .
    INV*INV: that's made it all better , has it ?
    CHImade you better .
    INVgood .
  3. eng_british_Manchester_I/becky15b.cha, line 1334 · Becky, 2;5.01
    CHIxxx .
    CHIhe's lick [*] my nose .
    MOT*MOT: he's licked your nose , has he ?
    CHIxxx .
    MOTxxx .

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. Becky eng_british_Manchester_I2.52
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky15b.chaBecky 2;5.011,190332.52

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. has3 · 100.0%