PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

100.00 per 1,000 words of the child (CHI), in 1 of 1 transcripts (30 utterances, 60 words searched).

  1. yes . CHI · bilingual_eng_french_Watkins/a01wat05.cha, line 16 · Jeremy 2;09
  2. yes . CHI · bilingual_eng_french_Watkins/a01wat05.cha, line 21 · Jeremy 2;09
  3. yes . CHI · bilingual_eng_french_Watkins/a01wat05.cha, line 29 · Jeremy 2;09
  4. yes . CHI · bilingual_eng_french_Watkins/a01wat05.cha, line 43 · Jeremy 2;09
  5. yes . CHI · bilingual_eng_french_Watkins/a01wat05.cha, line 75 · Jeremy 2;09
  6. yes please . CHI · bilingual_eng_french_Watkins/a01wat05.cha, line 78 · Jeremy 2;09
  1. bilingual_eng_french_Watkins/a01wat05.cha, line 16 · Jeremy, 2;9.10
    CHIɩ@u two three together .
    FATthere are two three together ?
    CHI*CHI: yes .
    FATthere are two or three bits of your train there .
    FATJeremy ?
  2. bilingual_eng_french_Watkins/a01wat05.cha, line 21 · Jeremy, 2;9.10
    CHIxxx xxx . [+ trn]
    FATcan you bring them over here and show me ?
    CHI*CHI: yes .
    FATyou bring them over here and show me then .
    FATcome on .
  3. bilingual_eng_french_Watkins/a01wat05.cha, line 29 · Jeremy, 2;9.10
    CHItwo three togeth(er) +...
    FATtwo things together ?
    CHI*CHI: yes .
    FAT### oh isn't that clever ?
    FAT# that's a clever boy .
  4. bilingual_eng_french_Watkins/a01wat05.cha, line 43 · Jeremy, 2;9.10
    MOTnebulisation .
    FATah you had your nebulisation .
    CHI*CHI: yes .
    FAThas he had his nebulisation this morning ?
    FATsorry ?
  5. bilingual_eng_french_Watkins/a01wat05.cha, line 75 · Jeremy, 2;9.10
    CHII want my xx .
    FATdo you want your train and your rubbish van ?
    CHI*CHI: yes .
    FATI'll get them for you in a moment .
    FATyes please ?
  6. bilingual_eng_french_Watkins/a01wat05.cha, line 78 · Jeremy, 2;9.10
    FATI'll get them for you in a moment .
    FATyes please ?
    CHI*CHI: yes please .
    CHIlai@u [: I] want [>] .
    FAT<Yes no look look> [<] Jeremy <stay here> [>] .

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. Jeremy bilingual_eng_french_Watkins100.00
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/a01wat05.chaJeremy 2;9.106066100.00

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. yes6 · 100.0%