If we search after the types and function of morpheme, can see that in Kurdish language there is a large number ofmorphemes with significant roles actions language. Especially, at morphological syntactic levels. The (da) morpheme one those morphemes functionally very active grammar which why this study entitled (The Role “da” Morpheme Language) dealt it central dialect particular. This plays di...

Language is a significant aspect of every culture. Kankanaey one the most widely spoken languages in Cordillera Administrative Region (CAR), Philippines. Regrettably, study this language has very few resources and material available for it. This presents centering on -an morpheme words, how they developed, present situation, can be improved or enriched to meet needs future times generations ter...

This paper examines two case studies of morpheme-specific reduplication that copy from a syntactic domain larger than root but smaller word, providing an analysis in Cophonologies by Phase (CBP) both phonotactic requirements different processes and the amount structure copied reduplication. The first study comes Guébie (Kru, Ivory Coast), where marks nominalization reciprocals (among others). I...

This article introduces a novel approach to model morphosyntax in morpheme unit based speech recognizers. The proposed method is evaluated in our recent Hungarian large vocabulary continuous speech recognition (LVCSR) system. The architecture of the recognition system is based on the weighted finite state transducer (WFST) paradigm. The task domain is the recognition of fluently read sentences ...

An algorithm for the morphological decomposition of words into morphemes is presented. The application area is information retrieval, and the purpose is to find morphologically related terms to a given search term. First, the parsing framework is presented, then several linguistic decisions are discussed: morpheme selection and segmentation, morpheme classes, morpheme grammar, allomorph handlin...

Sparsity is one of the major problems in natural language processing. The problem becomes even more severe in agglutinating languages that are highly prone to be inflected. We deal with sparsity in Turkish by adopting morphological features for part-of-speech tagging. We learn inflectional and derivational morpheme tags in Turkish by using conditional random fields (CRF) and we employ the morph...

Chinese poses a challenge for models of compound processing, since the basic notions of morpheme, word and phrase are not consistently distinguished by native speakers. It is thus proposed that the mental lexicon consists of linked and overlapping listemes (in the sense of Di Sciullo and Williams 1987) which can potentially be of any size (morpheme, word, phrase). One implication of this approa...