syllable contact law in persian simple words

It is not all downhill from here: Syllable Contact Law in Persian

Syllable contact pairs cross-linguistically tend to have a falling sonority slope, a constraint which is called the Syllable Contact Law (SCL). In this study, the phonotactics of syllable contacts in 4202 CVC.CVC words of Persian lexicon is investigated. The consonants of Persian were divided into five sonority categories and the frequency of all possible sonority slopes is computed both in lex...

Visual word recognition of single-syllable words.

Speeded visual word naming and lexical decision performance are reported for 2428 words for young adults and healthy older adults. Hierarchical regression techniques were used to investigate the unique predictive variance of phonological features in the onsets, lexical variables (e.g., measures of consistency, frequency, familiarity, neighborhood size, and length), and semantic variables (e.g. ...

Mapping Persian Words to WordNet Synsets

Lexical ontologies are one of the main resources for developing natural language processing and semantic web applications. Mapping lexical ontologies of different languages is very important for inter-lingual tasks. On the other hand mapping approaches can be implied to build lexical ontologies for a new language based on pre-existing resources of other languages. In this paper we propose a sem...

Gödel's Second Incompleteness Theorem Explained in Words of One Syllable

First of all, when I say "proved", what I will mean is "proved with the aid of the whole of math". Now then: two plus two is four, as you well know. And, of course, it can be proved that two plus two is four (proved, that is, with the aid of the whole of math, as I said, though in the case of two plus two, of course we do not need the whole of math to prove that it is four). And, as may not be ...

A rule based algorithm for detecting negative words in Persian

In order to facilitate sentiment analysis of Persian text, we’ve designed and implemented an algorithm which aims to detect words with negative polarity. Currently most sentiment analysis algorithms depend mainly on polarity datasets. However, since negative prefixes in Persian are only attached to a semantically positive base (shaghagi, 2002), we have incorporated a negative prefix detection t...

Morphological approach to character recognition in machine-printed Persian words