PHPCLANCHILDES with regular expressions

7 matches in 4 utterances

120.69 per 1,000 words of the child (CHI), in 1 of 1 transcripts (13 utterances, 58 words searched).

  1. and even we asked her, we did a party, not a real one, we went to la tenneuse [?]… CHI · bilingual_eng_french_Watkins/c3zan04.cha, line 16 · Stephanie 4;08
  2. and even we asked her, we did a party, not a real one, we went to la tenneuse [?] . CHI · bilingual_eng_french_Watkins/c3zan04.cha, line 16 · Stephanie 4;08
  3. and even we asked her, we did a party, not a real one, we went to la tenneuse [?] . CHI · bilingual_eng_french_Watkins/c3zan04.cha, line 16 · Stephanie 4;08
  4. and after we all wanted to xx xx . CHI · bilingual_eng_french_Watkins/c3zan04.cha, line 20 · Stephanie 4;08
  5. we said we +/. CHI · bilingual_eng_french_Watkins/c3zan04.cha, line 21 · Stephanie 4;08
  6. we said we +/. CHI · bilingual_eng_french_Watkins/c3zan04.cha, line 21 · Stephanie 4;08
  7. a xx but we said it was [//] wasn't one . CHI · bilingual_eng_french_Watkins/c3zan04.cha, line 27 · Stephanie 4;08
  1. bilingual_eng_french_Watkins/c3zan04.cha, line 16 · Stephanie, 4;8.28
    CHIyes .
    MOTMonica is bronzée, but that [/] that's the real colour of her skin and Monica is um black, she comes from a black country .
    CHI*CHI: and even we asked her, we did a party, not a real one, we went to la tenneuse [?] .
    MOTla terreur ?
    CHIa tyre .
  2. bilingual_eng_french_Watkins/c3zan04.cha, line 20 · Stephanie, 4;8.28
    MOTla terreur ?
    CHIa tyre .
    CHI*CHI: and after we all wanted to xx xx .
    CHIwe said we +/.
    GRAStephanie what did you eat ?
  3. bilingual_eng_french_Watkins/c3zan04.cha, line 21 · Stephanie, 4;8.28
    CHIa tyre .
    CHIand after we all wanted to xx xx .
    CHI*CHI: we said we +/.
    GRAStephanie what did you eat ?
    CHIwhat ?
  4. bilingual_eng_french_Watkins/c3zan04.cha, line 27 · Stephanie, 4;8.28
    MOTan xx .
    GRAa what ?
    CHI*CHI: a xx but we said it was [//] wasn't one .
    GRAshow me .
    GRAnot too close, not too close .

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. Stephanie bilingual_eng_french_Watkins120.69
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/c3zan04.chaStephanie 4;8.285847120.69

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. we7 · 100.0%