Despite the recognition of the Arabic language by the United Nations and its active development, there are no powerful interactive dictionaries to accompany efficiently this development. In addition, most of the existing dictionaries require knowledge of morphological rules to get the meaning of words. We studied in this paper the “Interactive Dictionary of Arabic Language”. This is, in our kno...

This article describes the Romanian lexical resources containing morphological data and dictionaries: synonyms, Romanian-English, and RomanianRussian. The inflection process at the creation of morphological resources based on the functional grammar with scattered context is considered. An arbitrary word is inflected knowing only its part of speech, and the gender for nouns. New words were obtai...

The Arabic language has a very rich morphology where a word is composed of zero or more prefixes, a stem and zero or more suffixes. This makes Arabic data sparse compared to other languages, such as English, and consequently word segmentation becomes very important for many Natural Language Processing tasks that deal with the Arabic language. We present in this paper two segmentation schemes th...

This paper describes our research on statistical language modeling of Lithuanian. The idea of improving sparse n-gram models of highly inflected Lithuanian language by interpolating them with complex n-gram models based on word clustering and morphological word decomposition was investigated. Words, word base forms and part-of-speech tags were clustered into 50 to 5000 automatically generated c...

In reading research, morphological processing and monomorphemic word identification have generally been treated separately. We describe a computational model that brings both kinds of reading together within a single framework. This model assumes that word knowledge—the orthography, phonology, and meaning of words—accumulates with experiences with individual words and that this knowledge is ref...

Morphologically rich languages such as Turkish may benefit from morphological analysis in natural language tasks. In this study, we examine the effects of morphological analysis on text categorization task in Turkish. We use stems and word categories that are extracted with morphological analysis as main features and compare them with fixed length stemmers in a bag of words approach with severa...

This paper investigates whether stuttering rates in English-speaking adults and children are influenced by phonological and morphological complexity at the ends of words. The phonology of English inflection is such that morphological and phonological complexity are confounded, and previous research has indicated that phonological complexity influences stuttering. Section 1 of this paper conside...

The aim of the present study is to examine the morphological knowledge of readers with developmental dyslexia compared to chronological age and reading-level matched controls. The study also analyzes the errors dyslexics make and their metamorphological awareness compared to controls. Participants included 31 seventh-grade dyslexic children and two matched control groups of normal readers: 34 s...

We present in this paper methods to improve HMM-based part-of-speech (POS) tagging of Mandarin. We model the emission probability of an unknown word using all the characters in the word, and enrich the standard left-to-right trigram estimation of word emission probabilities with a right-to-left prediction of the word by making use of the current and next tags. In addition, we utilize the RankBo...

Some theories of visual word recognition postulate that there is a level of processing or representation at which morphemes are treated differently fromwhole words. Support for these theories has been derived from priming experiments in which the recognition of a target word is facilitated by the prior presentation of amorphologically related prime (departure-DEPART). In English, such facilitat...