PHPCLANCHILDES with regular expressions

Regular expression

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More conditions (like a second grep)

The utterance must also match

…and must not match

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Speakers

Context

Ignore case Whole words

Scope One transcript: french/kernfrench_freb29.cha change

Searching only french/kernfrench_freb29.cha. Search all transcripts instead

5 matches in 5 utterances

12.82 per 1,000 words of the child (CHI), in 1 of 1 transcripts (303 utterances, 390 words searched).

Concordance Utterances Distribution Matched forms

bobo . 956600_959600 CHI · french/kernfrench_freb29.cha, line 189 · Emma 1;09
la est bobo . 963840_966840 CHI · french/kernfrench_freb29.cha, line 191 · Emma 1;09
bobo . 968400_971400 CHI · french/kernfrench_freb29.cha, line 193 · Emma 1;09
bobo . 1028119_1031119 CHI · french/kernfrench_freb29.cha, line 219 · Emma 1;09
bobo . 1033200_1036200 CHI · french/kernfrench_freb29.cha, line 221 · Emma 1;09

One dot per transcript: matches per 1,000 words of the child (CHI). Dots of the same child are joined.

per 1,000 words

051015

1;081;091;101;11

Age of the child (years;months)

Matches per 1,000 words, all transcripts of each child together, highest first.

All transcripts as a table

Transcript	Child	Age	Words	Utterances matched	Matches	Per 1,000 words
french/kernfrench_freb29.cha	Emma	1;9.06	390	5	5	12.82

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.