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: bilingual_eng_span_Perez/shelia2.cha change

Searching only bilingual_eng_span_Perez/shelia2.cha. Search all transcripts instead

6 matches in 6 utterances

9.57 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (182 utterances, 627 words searched).

Concordance Utterances Distribution Matched forms

quieres algún libro? MOT · bilingual_eng_span_Perez/shelia2.cha, line 164 · Sheila 2;08
vamos a leer el libro de Clifford? MOT · bilingual_eng_span_Perez/shelia2.cha, line 166 · Sheila 2;08
dónde esta el libro de Clifford, m(i) hija? MOT · bilingual_eng_span_Perez/shelia2.cha, line 170 · Sheila 2;08
el libro de Clifford, dónde está? MOT · bilingual_eng_span_Perez/shelia2.cha, line 172 · Sheila 2;08
no sé, Sheila tú has visto su libro? MOT · bilingual_eng_span_Perez/shelia2.cha, line 179 · Sheila 2;08
Ernesto tiene que mirar porque este libro es para los dos . MOT · bilingual_eng_span_Perez/shelia2.cha, line 200 · Sheila 2;08

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

per 1,000 words

03581013

2;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
bilingual_eng_span_Perez/shelia2.cha	Sheila	2;8.	627	6	6	9.57

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