Revisiting evidence for lexicalized word order in young children
نویسندگان
چکیده
منابع مشابه
Word Order Acquisition in Persian Speaking Children
Objectives: Persian is a pro-drop language with canonical Subject-Object-Verb (SOV) word order. This study investigates the acquisition of word order in Persian-speaking children. Methods: In the present study, participants were 60 Persian-speaking children (30 girls and 30 boys) with typically developing language skills, and aged between 30-47 months. The 30-minute language samples were audio...
متن کاملLexicalized Phonotactic Word Segmentation
This paper presents a new unsupervised algorithm (WordEnds) for inferring word boundaries from transcribed adult conversations. Phone ngrams before and after observed pauses are used to bootstrap a simple discriminative model of boundary marking. This fast algorithm delivers high performance even on morphologically complex words in English and Arabic, and promising results on accurate phonetic ...
متن کاملThe evidence for word order correlations
Dunn et al. (2011) argue for the following four theses. First, they argue that there is no evidence of a crosslinguistic word order correlation between certain pairs of elements for which a correlation has been claimed in the previous literature. Second, they argue that although some correlations do exist, they are specific to individual families and not universal. Furthermore, they argue that,...
متن کاملWord frequency cues word order in adults: cross-linguistic evidence
One universal feature of human languages is the division between grammatical functors and content words. From a learnability point of view, functors might provide entry points or anchors into the syntactic structure of utterances due to their high frequency. Despite its potentially universal scope, this hypothesis has not yet been tested on typologically different languages and on populations o...
متن کاملLexicalized Syntactic Reordering Framework for Word Alignment and Machine Translation
We propose a lexicalized syntactic reordering framework for crosslanguage word aligning and translating researches. In this framework, we first flatten hierarchical source-language parse trees into syntactically-motivated linear string representations, which can easily be input to many feature-like probabilistic models. During model training, these string representations accompanied with target...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Lingua
سال: 2012
ISSN: 0024-3841
DOI: 10.1016/j.lingua.2011.11.010