PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.93 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (506 utterances, 2,049 words searched).

  1. it's celery . MOT · eng_british_Manchester_I/anne08b.cha, line 1658 · Anne 2;00
  2. celery . MOT · eng_british_Manchester_I/anne08b.cha, line 1662 · Anne 2;00
  3. yeah that is celery ,, isn't it ? MOT · eng_british_Manchester_I/anne08b.cha, line 1666 · Anne 2;00
  4. what real celery ? MOT · eng_british_Manchester_I/anne08b.cha, line 1672 · Anne 2;00
  5. does Anne like celery ? MOT · eng_british_Manchester_I/anne08b.cha, line 1679 · Anne 2;00
  6. you like celery . MOT · eng_british_Manchester_I/anne08b.cha, line 1688 · Anne 2;00
  1. eng_british_Manchester_I/anne08b.cha, line 1658 · Anne, 2;0.17
    CHIlooking .
    CHIoh what's that ?
    MOT*MOT: it's celery .
    CHIxxx celery please .
    MOTcelery .
  2. eng_british_Manchester_I/anne08b.cha, line 1662 · Anne, 2;0.17
    MOTit's celery .
    CHIxxx celery please .
    MOT*MOT: celery .
    CHIcelery please .
    MOTyeah that is celery ,, isn't it ?
  3. eng_british_Manchester_I/anne08b.cha, line 1666 · Anne, 2;0.17
    MOTcelery .
    CHIcelery please .
    MOT*MOT: yeah that is celery ,, isn't it ?
    CHIAnne have Anne's mouth .
    MOTcan you have in Anne's mouth .
  4. eng_british_Manchester_I/anne08b.cha, line 1672 · Anne, 2;0.17
    CHIAnne have Anne's mouth .
    MOTcan you have in Anne's mouth .
    MOT*MOT: what real celery ?
    MOTwell perhaps later we might be able to find some .
    MOTfor your tea .
  5. eng_british_Manchester_I/anne08b.cha, line 1679 · Anne, 2;0.17
    MOTwell perhaps later we might be able to find some .
    MOTfor your tea .
    MOT*MOT: does Anne like celery ?
    MOTwhat else does Anne like that's here ?
    MOTdo you like tomato ?
  6. eng_british_Manchester_I/anne08b.cha, line 1688 · Anne, 2;0.17
    MOTdo you like tomato ?
    MOTyes .
    MOT*MOT: you like celery .
    MOTyou like tomatos .
    MOTdo you like strawberrys ?

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. Anne eng_british_Manchester_I2.93
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne08b.chaAnne 2;0.172,049662.93

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. celery6 · 100.0%