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_tim12b.cha change

Searching only french/lyon_tim12b.cha. Search all transcripts instead

5 matches in 5 utterances

3.24 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (358 utterances, 1,545 words searched).

Concordance Utterances Distribution Matched forms

ah bah dis donc . 1172352_1179225 MOT · french/lyon_tim12b.cha, line 1233 · Tim 1;05
dis donc à bout d(e) bras . 1358582_1368665 MOT · french/lyon_tim12b.cha, line 1420 · Tim 1;05
tu dis quoi ? MOT · french/lyon_tim12b.cha, line 1838 · Tim 1;05
tu dis au_r(e)voir ? 1889622_1890848 MOT · french/lyon_tim12b.cha, line 1958 · Tim 1;05
tu dis au_r(e)voir ? 1893110_1894583 MOT · french/lyon_tim12b.cha, line 1963 · Tim 1;05

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

per 1,000 words

01234

1;041;051;061;07

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_tim12b.cha	Tim	1;5.25	1,545	5	5	3.24

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