Work in phonology and morphology consistently recognizes that affixes show a strong tendency to be less marked than roots crosslinguistically. Within Optimality Theory, this observation has been dealt with through the imposition of a universally-fixed ranking, known as the Root-Affix Faithfulness Metaconstraint (McCarthy and Prince 1995), which states that faithfulness to root material universa...

this paper studies derivation in scientific and colloquial varieties in persian, and seeks to determine the frequency and manner of this process in each of the above-mentioned varieties by scrutinizing and comparing a significant number of derived words. to do so, after collecting persian scientific and colloquial words and analyzing them, the following issues will be specified a) what kinds of...

there are different processes to form new words in every language, including compounding, derivation, inflection, etc. in compounding, two lexical stems form a compound. in derivation and inflection, new words are coined by affixation or some phonetic changes. this kind of affixation is applied on the simple or compound stem. here our compound stem is a bound compound stem, consisting of a noun...

Instruments are expressed in language by various means: prepositions, postpositions, affixes including case marks, nonfinite verbs, etc. We consider here 12 languages from five families in order to be able to identify the different meaning components that structure instrumentality.

Morphological analysis of Arabic words allows decreasing the storage requirements of the Arabic dictionaries, more efficient encoding of diacritical Arabic text, faster spelling and efficient Optical character recognition. All these factors allow efficient storage and archival of multilingual digital libraries that include Arabic texts. This paper presents a lossless compression algorithm based...

This research aimed to identify what error of inflectional affixes was the most frequently appeared on students’ writings and least writings. The approach qualitative method with descriptive analysis analyze data. data were taken from made by 111 second semester students Indonusa Polytechnic Surakarta majoring in health information management. perform percentage plural -s/es 58,46 %, third pers...

Word embedding has been shown to be remarkably effective in a lot of Natural Language Processing tasks. However, existing models still have a couple of limitations in interpreting the dimensions of word vector. In this paper, we provide a new approach—roots and affixes model(RAAM)—to interpret it from the intrinsic structures of natural language. Also it can be used as an evaluation measure of ...

We present a new fully unsupervised human-interventionfree algorithm for stemming for an open class of languages. Since it does not rely on existing large data collections or other linguistic resources than raw text it is especially attractive for low-density languages. The stemming problem is formulated as a decision whether two given words are variants of the same stem and requires that, if s...

Most research in Arabic roots extraction focuses on removing affixes from Arabic words. This process adds processing overhead and may remove non-affix letters, which leads to the extraction of incorrect roots. This paper advises a new approach to dealing with this issue by introducing a new algorithm for extracting Arabic words’ roots. The proposed algorithm, which is called the Word Substring ...