Background: Speech and language pathologists should include connected speech assessment as part of their evaluation for children with speech sound disorders. The purpose of the present study was to design and validate an instrument for assessment of articulation by story-retelling for Persian children.Methods: 261 typically developing children, aged 4-5 years old in Iran, Tehran, in 2016-2017, ...

In 2001, an open question that was posed by Blyth, Silva and Varlet in [2] is the following: for an Ockham algebra L determine the congruences on L that are kernels of endomorphisms on L. Whereas a general solution to this is stll an open problem, there has been some progress in investigating kernels of endomorphisms in various lattice-ordered algebras. In this connection, an algebra A is said ...

the role of orthography in difficult speech perception tasks has already been proved (dehaene & cohen, 2011). since the processing of heterographic homophones is believed to be more difficult than other words (hino & colleagues, 2013), the present study aimed at identifying the role of orthography and word forms in perception of such words during top-down processes, such as speech perception. a...

We discuss the design of a tool for the interactive exploration of part-of-speech classes using structural features. At the heart of the tool are incremental hierarchical clustering algorithms. The algorithms are used to detect classes using morphological and syntactical features. The algorithms have been modified or designed to allow interactive exploration and constrained clustering. We prese...

Arabic is a morphologically rich language, which presents a challenge for part of speech tagging. In this paper, we compare two novel methods for POS tagging of Arabic without the use of gold standard word segmentation but with the full POS tagset of the Penn Arabic Treebank. The first approach uses complex tags that describe full words and does not require any word segmentation. The second app...

This paper presents an algorithm for tagging words whose part-of-speech properties are unknown. Unlike previous work, the algorithm categorizes word tokens in con$ezt instead of word ~ypes. The algorithm is evaluated on the Brown Corpus.

Diierent approaches have been taken in order to solve the part-of-speech tagging problem. Several methods for unsupervised tagging have obtained good accuracies in practice. The approach taken by Brill Bri95] obtains results comparable to the best existing taggers. In this paper we explore the details of this unsupervised part-of-speech tagger and we present a comparison to the Xerox tagger, wh...