Having a morphological analyzer is a very critical issue especially for NLP related tasks on agglutinative languages. This paper presents a detailed computational analysis of Kazakh language which is an agglutinative language. With a detailed analysis of Kazakh language morphology, the formalization of rules over all morphotactics of Kazakh language is worked out and a rule-based morphological ...

The paper analyses the application of DATR language for lexical knowledge presentation for interpreting Bulgarian inflectional morphology. It discuss the semantic network of the feature of definiteness in Bulgarian language and compares the lexical knowledge representation for the different part-of-speech with respect to the defined grammar rules, the sound alternations, the related formal pres...

This paper presents a new method for analyzing words in the Persian language context to find orthographical and structural errors regardless of the meaning. This technique tokenizes each word in a statement then tries to detect the kind of word, and analyses its correctness in terms of orthography and morphology by means of a lexicon. It should be noted that some words in the Persian language h...

A limited number of studies have investigated language in Huntington's disease (HD). These have generally reported abnormalities in rule-governed (grammatical) aspects of language, in both syntax and morphology. Several studies of verbal inflectional morphology in English and French have reported evidence of over-active rule processing, such as over-suffixation errors (e.g., walkeded) and over-...

One of the most explored fields of NLP is morphology. It is important because language is productive: in any given text we will encounter text words an word forms that we haven’t seen before and that are not in a precompiled dictionary. The core task of computational morphology is to take a word as input and produce a morphonological analysis for it. There are a lot of approaches in formalizing...

Computational morphology is an important part of natural language processing. Finite-state techniques have been applied successfully in computational phonology and morphology to many of the world’s major languages. Celtic languages such as Modern Irish present challenging morphological features that to date have not been addressed using finite-state technology. This paper presents a finite-stat...

The lack of parallel data for many language pairs is an important challenge to statistical machine translation (SMT). One common solution is to pivot through a third language for which there exist parallel corpora with the source and target languages. Although pivoting is a robust technique, it introduces some low quality translations especially when a poor morphology language is used as the pi...

Statistical approaches in speech technology, whether used for statistical language models, trees, hidden Markov models or neural networks, represent the driving forces for the creation of language resources (LR), e.g., text corpora, pronunciation and morphology lexicons, and speech databases. This paper presents a system architecture for the rapid construction of morphologic and phonetic lexico...

In recent years, there has been increased interest in examining and explaining the differential difficulty of acquisition of language modules, interfaces, operations, and constructions (Lardiere 2005, 2008; Slabakova 2006, 2008; White, 2003). For example, a recent GASLA plenary, Lardiere 2005, argued that morphological competence should be accorded a special status and highlighted its differenc...