PHPCLANCHILDES with regular expressions

11 matches in 10 utterances

5.46 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (529 utterances, 2,014 words searched).

  1. was it orange+juice ? MOT · eng_british_Manchester_I/becky09a.cha, line 118 · Becky 2;02
  2. what was it ? MOT · eng_british_Manchester_I/becky09a.cha, line 124 · Becky 2;02
  3. it was water , was it ? MOT · eng_british_Manchester_I/becky09a.cha, line 128 · Becky 2;02
  4. it was water , was it ? MOT · eng_british_Manchester_I/becky09a.cha, line 128 · Becky 2;02
  5. very sticky water , was it ? MOT · eng_british_Manchester_I/becky09a.cha, line 136 · Becky 2;02
  6. that was quick . MOT · eng_british_Manchester_I/becky09a.cha, line 614 · Becky 2;02
  7. that was a few weeks ago , wasn't it ? MOT · eng_british_Manchester_I/becky09a.cha, line 1186 · Becky 2;02
  8. was it ? INV · eng_british_Manchester_I/becky09a.cha, line 1191 · Becky 2;02
  9. Donald_Duck wasn't there though , was he ? MOT · eng_british_Manchester_I/becky09a.cha, line 1207 · Becky 2;02
  10. was he not ? INV · eng_british_Manchester_I/becky09a.cha, line 1216 · Becky 2;02
  11. was he gone on his holidays do you think ? MOT · eng_british_Manchester_I/becky09a.cha, line 1222 · Becky 2;02
  1. MOTcan you remember ?
    CHIyeah .
    MOT*MOT: was it orange+juice ?
    CHIno .
    MOTno ?
  2. CHIno .
    MOTno ?
    MOT*MOT: what was it ?
    CHIum # water .
    MOTit was water , was it ?
  3. MOTwhat was it ?
    CHIum # water .
    MOT*MOT: it was water , was it ?
    CHIyeah .
    MOTI see .
  4. MOTI see .
    CHIvery sticky .
    MOT*MOT: very sticky water , was it ?
    CHIyeah .
    CHIxxx .
  5. MOThave you finished ?
    CHIyeah .
    MOT*MOT: that was quick .
    MOTyou haven't done anything , have you ?
    CHIno .
  6. CHIyeah .
    MOTyeah .
    MOT*MOT: that was a few weeks ago , wasn't it ?
    CHIum # yeah .
    INVwas it ?
  7. MOTthat was a few weeks ago , wasn't it ?
    CHIum # yeah .
    INV*INV: was it ?
    CHIyeah .
    INVoh .
  8. INVmmhm .
    INVI know .
    MOT*MOT: Donald_Duck wasn't there though , was he ?
    INVoh no .
    INVhe wasn't ?
  9. INVhe wasn't ?
    CHIno .
    INV*INV: was he not ?
    INVoh dear .
    CHIxxx gone .
  10. INVoh dear .
    CHIxxx gone .
    MOT*MOT: was he gone on his holidays do you think ?
    CHIgone on holidays .
    INVoh .

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_I5.46
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky09a.chaBecky 2;2.302,01410115.46

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. was11 · 100.0%