PHPCLANCHILDES with regular expressions

7 matches in 6 utterances

3.86 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (498 utterances, 1,813 words searched).

  1. she's got some french+fries though . MOT · eng_british_Manchester_II/nic20b.cha, line 417 · Nicole 2;07
  2. Lucy is coming , isn't she ? MOT · eng_british_Manchester_II/nic20b.cha, line 1760 · Nicole 2;07
  3. she still had her pajamas on last week , didn't she when you went round ? MOT · eng_british_Manchester_II/nic20b.cha, line 1778 · Nicole 2;07
  4. she still had her pajamas on last week , didn't she when you went round ? MOT · eng_british_Manchester_II/nic20b.cha, line 1778 · Nicole 2;07
  5. did she ? MOT · eng_british_Manchester_II/nic20b.cha, line 1817 · Nicole 2;07
  6. did she cry ? MOT · eng_british_Manchester_II/nic20b.cha, line 1819 · Nicole 2;07
  7. didn't she ? MOT · eng_british_Manchester_II/nic20b.cha, line 1827 · Nicole 2;07
  1. INVno .
    MOTno .
    MOT*MOT: she's got some french+fries though .
    INVgot +//.
    INVyes .
  2. MOTand who's coming to have her lunch with us tomorrow after play+group ?
    CHInobody .
    MOT*MOT: Lucy is coming , isn't she ?
    CHIyeah .
    MOTyeah .
  3. MOTmmhm .
    MOTyes .
    MOT*MOT: she still had her pajamas on last week , didn't she when you went round ?
    CHIyeah .
    MOTLucy did .
  4. CHIyeah .
    CHIand washing her hair .
    MOT*MOT: did she ?
    MOTdid she cry ?
    CHIno .
  5. CHIand washing her hair .
    MOTdid she ?
    MOT*MOT: did she cry ?
    CHIno .
    MOTno ?
  6. MOTno ?
    MOToh .
    MOT*MOT: didn't she ?
    CHIno .
    MOTno .

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_II3.86
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic20b.chaNicole 2;7.121,813673.86

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. she7 · 100.0%