Background: The language profiles of children with language impairment (LI) and bilingual children can show partial, and possibly temporary, overlap. The current study examined the persistence of this overlap over time. Furthermore, we aimed to better understand why the language profiles of these two groups show resemblance, testing the hypothesis that the language difficulties of children with...

Morphology is one of the few areas in the natural language processing where computers are good enough. Different approaches lead to different problems. For Slavonic languages rules and statistical methods are commonly used. Rule based methods are more precise but tend to fail when parsing unknown words. Hybrid technologies with statistical methods helps to solve this problem. It is also possibl...

The present article argues that the idea of morphology-driven syntax carries over to first-language acquisition. Morphology encodes properties of functional categories, i.e. particular features and feature values that must be set according to the target (adult) language during the acquisition process. In agreement with previous findings concerning the acquisition of functional categories in the...

The complexity of different components of the grammars of human languages can be quantified. For example, languages vary greatly in the size of their phonological inventories, and in the degree to which they make use of inflectional morphology. Recent studies have shown that there are relationships between these types of grammatical complexity and the number of speakers a language has. Language...

We describe the design objectives, features, and the computational language model of a computer-mediated tool designed for learners of Turkish morphology. The underlying system is a generative grammar, more speciically, a computational word grammar that makes use of feature structures to deliver composition and decomposition of morphemes at the syntax-lexicon interface via two-level morphology....

Level-tone systems in the Sino-Tibetan family are now well-attested, and increasingly well-described (about Pumi, see Ding 2006 and Jacques 2011; about Hakha Lai: Hyman and VanBik 2002, 2004; see also the synthesis by Evans 2008). The present study aims to contribute to this strand of research by describing a specific area of the tonal morphology of the Yongning Na language, namely the tone pat...

In this paper Discriminative Language Models (DLMs) are applied to the Turkish Broadcast News transcription task. Turkish presents a challenge to Automatic Speech Recognition (ASR) systems due to its rich morphology. Therefore, in addition to word n-gram features, morphology based features like root n-grams and inflectional group n-grams are incorporated into DLMs in order to improve the langua...

Assessment of the similarities between texts has been studied for decades from different perspectives and for several purposes. One interesting perspective is the morphology. This article reports the results on a study on the assessment of the morphological relatedness between natural language words. The main idea is to adapt a formal string alignment algorithm namely Needleman-Wunsch’s to acco...

This study investigates the development of morphology in the interlanguage of English learners of Xhosa. A quasi-longitudinal research design is used to trace development in the oral interlanguage of six learners of Xhosa for a period of eight months. The elicitation tasks employed range from fairly unstructured conversation tasks to highly structured sentence-manipulation tasks. The learners h...

Morphology has a special place in any language, including written and spoken applications. Markov method is used to labeingl and determine the role of words.emergence in software sciences has eliminated 0 and 1 computations, putting them within an infinite space of between 0,1. This characteristic of fuzzy logic has resolved ambiguity in numerous previous problems. The sentence roles in Persian...