PHPCLANCHILDES with regular expressions

Regular expression

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More conditions (like a second grep)

The utterance must also match

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Context

Ignore case Whole words

Scope One transcript: french/lyon_mar28a.cha change

Searching only french/lyon_mar28a.cha. Search all transcripts instead

5 matches in 4 utterances

5.95 per 1,000 words of the child (CHI), in 1 of 1 transcripts (290 utterances, 841 words searched).

Concordance Utterances Distribution Matched forms

<t'as ton> [/] t'as ton mouton . 798142_802202 CHI · french/lyon_mar28a.cha, line 1026 · Marie 2;06
<t'as ton> [/] t'as ton mouton . 798142_802202 CHI · french/lyon_mar28a.cha, line 1026 · Marie 2;06
t'as pas besoin d'argent . 857148_864823 CHI · french/lyon_mar28a.cha, line 1114 · Marie 2;06
t'as oublié quoi ? 1138773_1141858 CHI · french/lyon_mar28a.cha, line 1486 · Marie 2;06
t'as encore d'argent ? 1245742_1250138 CHI · french/lyon_mar28a.cha, line 1649 · Marie 2;06

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

per 1,000 words

02468

2;052;062;072;08

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_mar28a.cha	Marie	2;6.14	841	4	5	5.95

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