How Templatic Is Arabic Input to Children? The Role of Child-Directed-Speech in the Acquisition of Semitic Morpho-Phonology

Semitic languages such as Hebrew and Arabic are known for having a non-concatenative morphology: words are typically built of a combination of a consonantal root, typically tri-consonantal (e.g., k-t-b "related to writing" in Modern Standard Arabic (MSA)), with a prosodic template. Research on Hebrew language development suggests early sensitivity to frequently occurring templates. For the Arabic dialects, little is known about whether implicit sensitivity to non-concatenative morphology develops at a young age through exposure to speech, and how templatic the spoken language is in comparison to MSA. We focus on Lebanese Arabic. We hypothesized that prolonged contact with French and English may have "diluted" the salience of roots and patterns in the input. We used three different corpora of adult-directed-speech (ADS), child-directed-speech (CDS), and child speech. We analyzed the root and pattern structures in the 50 most frequent Lebanese Arabic word types in each corpus. We found fewer words with templatic patterns than expected among the most frequent words in ADS (35/50), even fewer in CDS (23/50) and still fewer in the children's target words (15/50). In addition, only a minority contains three root consonants in their surface forms: 22 in ADS, 15 in CDS, and only 7 in words targeted by the children. We conclude that Semitic structure is less evident in either input to children or words targeted by children aged 1-3 than has been assumed. We discuss implications for the development of sensitivity to templatic structure among Lebanese-acquiring children.

Authors

Institutions

Publication Details

Journal
Language and Speech
Published
2025-01-23
DOI
https://doi.org/10.1177/00238309241311230
Primary Topic
Language Development and Disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

How Templatic Is Arabic Input to Children? The Role of Child-Directed-Speech in the Acquisition of Semitic Morpho-Phonology

Tamar Keren‐Portnoy, Ghada Khattab
Language and Speech
Language Development and Disorders
article

How Templatic Is Arabic Input to Children? The Role of Child-Directed-Speech in the Acquisition of Semitic Morpho-Phonology

Tamar Keren‐Portnoy, Ghada Khattab
article en

Abstract

Semitic languages such as Hebrew and Arabic are known for having a non-concatenative morphology: words are typically built of a combination of a consonantal root, typically tri-consonantal (e.g., k-t-b "related to writing" in Modern Standard Arabic (MSA)), with a prosodic template. Research on Hebrew language development suggests early sensitivity to frequently occurring templates. For the Arabic dialects, little is known about whether implicit sensitivity to non-concatenative morphology develops at a young age through exposure to speech, and how templatic the spoken language is in comparison to MSA. We focus on Lebanese Arabic. We hypothesized that prolonged contact with French and English may have "diluted" the salience of roots and patterns in the input. We used three different corpora of adult-directed-speech (ADS), child-directed-speech (CDS), and child speech. We analyzed the root and pattern structures in the 50 most frequent Lebanese Arabic word types in each corpus. We found fewer words with templatic patterns than expected among the most frequent words in ADS (35/50), even fewer in CDS (23/50) and still fewer in the children's target words (15/50). In addition, only a minority contains three root consonants in their surface forms: 22 in ADS, 15 in CDS, and only 7 in words targeted by the children. We conclude that Semitic structure is less evident in either input to children or words targeted by children aged 1-3 than has been assumed. We discuss implications for the development of sensitivity to templatic structure among Lebanese-acquiring children.

Language and SpeechVol. 69(1)
University of York (GB), Newcastle University (GB)
Quality Education
Openalex Percentile: Top 99%
Language Development and Disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.