This study investigates the role of phonological and morphological information in children's developing orthographies in two languages with different linguistic typologies: Hebrew, a Semitic language with a highly synthetic morphology, and Dutch, a Germanic language with a sparse morphology. 192 Israeli and 192 Belgian monolingual schoolchildren in grades 1-6 (aged 6;0-12;0) were administered r...

Chinese and Spanish have different morphology structures, which poses a big challenge for translating between this pair of languages. In this paper, we analyze several strategies to better generalize from the Chinese non-morphology-based language to the Spanish rich morphologybased language. Strategies use a first-step of Spanish morphology-based simplifications and a second-step of fullform ge...

Phonetic and Morphology Lexicons that can be used in Spoken Language Applications are costly and time-consuming to build. This paper reports on a project aiming at the semi-automatic development of large phonetic (SIflex) and morphology (SImlex) lexicons for Slovenian language. The main goal of the project is to build the phonetic and morphology lexicon for Slovenian language that will be used ...

We examine the effects of age and education on the production of variable grammatical morphology among speakers of Yucatec Maya. Our investigation focuses on the use of optional plural morphology when describing pictures of one, two and seven entities performing an action in Yucatec Maya. Our sample (N=69) compares children and adults ranging in age from 5 to 48 years old (mean=19.6, SD=12.1) w...

Multi-part words in English language are hyphenated and hyphen is used to separate different parts. Persian language consists of multi-part words as well. Based on Persian morphology, half-space character is needed to separate parts of multi-part words where in many cases people incorrectly use space character instead of half-space character. This common incorrectly use of space leads to some s...

Language modeling is a difficult problem for languages with rich morphology. In this paper we investigate the use of morphology-based language models at different stages in a speech recognition system for conversational Arabic. Classbased and single-stream factored language models using morphological word representations are applied within an N-best list rescoring framework. In addition, we exp...

This paper presents Myanmar phrases translation model with morphological analysis. The system is based on statistical approach. In statistical machine translation, large amount of information is needed to guide the translation process. When small amount of training data is available, morphological analysis is needed especially for morphology rich language. Myanmar language is inflected language...