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/york_mona018.cha change

Searching only french/york_mona018.cha. Search all transcripts instead

4 matches in 3 utterances

6.15 per 1,000 words of the child (CHI), in 1 of 1 transcripts (219 utterances, 650 words searched).

Concordance Utterances Distribution Matched forms

on va le faire (.) puis on va le faire . [+ pimit] 1066801_1072653 CHI · french/york_mona018.cha, line 1152 · Max 2;05
on va le faire (.) puis on va le faire . [+ pimit] 1066801_1072653 CHI · french/york_mona018.cha, line 1152 · Max 2;05
et ensuite on va le faire ? [+ imit] 1075011_1077705 CHI · french/york_mona018.cha, line 1163 · Max 2;05
on peut le faire quand +//. [+ pimit] 1220684_1221947 CHI · french/york_mona018.cha, line 1356 · Max 2;05

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;042;052;062;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/york_mona018.cha	Max	2;5.15	650	3	4	6.15

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