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_mar29a.cha change

Searching only french/lyon_mar29a.cha. Search all transcripts instead

5 matches in 5 utterances

2.59 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (447 utterances, 1,927 words searched).

Concordance Utterances Distribution Matched forms

tu me montres ? MOT · french/lyon_mar29a.cha, line 183 · Marie 2;07
tu me le montres ? MOT · french/lyon_mar29a.cha, line 189 · Marie 2;07
de ce qu(e) tu m(e) montres avec les pieds là ? 783828_787568 MOT · french/lyon_mar29a.cha, line 1097 · Marie 2;07
+< je vois pas là ce qu(e) tu me montres . 792207_796310 MOT · french/lyon_mar29a.cha, line 1116 · Marie 2;07
tu me les montres ? 834053_835137 MOT · french/lyon_mar29a.cha, line 1189 · Marie 2;07

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;062;072;082;09

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_mar29a.cha	Marie	2;7.16	1,927	5	5	2.59

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