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/lyon_nat39a.cha change

Searching only french/lyon_nat39a.cha. Search all transcripts instead

5 matches in 2 utterances

2.68 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (446 utterances, 1,868 words searched).

Concordance Utterances Distribution Matched forms

hop [/] hop [/] hop [/] hop voilà t(u) as tout là . MOT · french/lyon_nat39a.cha, line 1123 · Nathan 2;09
hop [/] hop [/] hop [/] hop voilà t(u) as tout là . MOT · french/lyon_nat39a.cha, line 1123 · Nathan 2;09
hop [/] hop [/] hop [/] hop voilà t(u) as tout là . MOT · french/lyon_nat39a.cha, line 1123 · Nathan 2;09
hop [/] hop [/] hop [/] hop voilà t(u) as tout là . MOT · french/lyon_nat39a.cha, line 1123 · Nathan 2;09
hop [= ! s'exclame] ! MOT · french/lyon_nat39a.cha, line 2550 · Nathan 2;09

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

per 1,000 words

0123

2;082;092;102;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/lyon_nat39a.cha	Nathan	2;9.7	1,868	2	5	2.68

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