نتایج جستجو برای: persian lexicography

تعداد نتایج: 15413  

Journal: : 2021

From the point of lexicography, phenomenon dictionary look-up frequencies can answer many critical questions on users’ needs and relationship between corpus data tendencies. Although there have been a number studies theoretical functional aspects in field spoken language to date, remain relatively few attempts describe characteristics behaviour sign languages. This paper investigates frequency ...

Journal: :Acta medica Iranica 2013
Seyyed Mohammad Bagher Fazljou Mansoureh Togha Kamyar Ghabili Mahdi Alizadeh Mansoor Keshavarz

Although the connection between head and stomach and hence the condition known as "gastric headache" was well known to the ancients, it has received little attention since the early 20th century. Herein, we review the teachings of the medieval Persian physicians about the gastric headache along with the related signs, symptoms, types and causes. The medieval Persian scholars adopted the main id...

2010
Pavel Rychlý

Low-frequency words, esp. words occurring only once in a text corpus, are very popular in text analysis. Also many lexicographers draw attention to such words. This paper lists a detailed statistical analysis of low-frequency words. The results provides important information for many practical applications, including lexicography and language modeling.

2013
Mir Mohammad Alipour

Optical Character Recognition (OCR) is a very old and of great interest in pattern recognition field. The recognition of cursive scripts like Persian and Arabic languages is a difficult task as their segmentation suffers from serious problems in different languages. Segmentation is a process of dividing cursive words into smaller parts in order to decrease complexity and increase accuracy of re...

Journal: :IJIMAI 2009
Rahim Dehkharghani Mehrnoush Shamsfard

Lexical ontologies are one of the main resources for developing natural language processing and semantic web applications. Mapping lexical ontologies of different languages is very important for inter-lingual tasks. On the other hand mapping approaches can be implied to build lexical ontologies for a new language based on pre-existing resources of other languages. In this paper we propose a sem...

2014
Guita MOVALLALI Firoozeh SAJEDI

BACKGROUND The use of the internet as a source of information gathering, self-help and support is becoming increasingly recognized. Parents and professionals of children with hearing impairment have been shown to seek information about different communication approaches online. Cued Speech is a very new approach to Persian speaking pupils. Our aim was to develop a useful website to give related...

2011

Persian and Turkish exhibit a number of striking similarities: (a) many verbal concepts are expressed by complex predicates (CPr), consisting of a non-verbal (NV) element and a light verb (LV) (Foli et al 2005, Megerdoomian 2002, Kornfilt 2003), (b) both languages exhibit scrambling, and (c) they both mark direct objects for specificity (Karimi 2005, Enc 1991). However, there are also some impo...

2017
Julia Bosque-Gil Jorge Gracia Elena Montiel-Ponsoda

Dictionaries are increasingly being transformed into linguistic linked lata (LLD) relying on the lemon and OntoLex models, but this conversion is not always straightforward. For both linked data (LD) based applications to exploit all content provided in dictionaries and lexicographers adopting LD technologies, the original data and structure should be retrievable from the LLD version to prevent...

2008
Gerhard Kremer Andrea Abel Marco Baroni

Providing sets of semantically related words in the lexical entries of an electronic dictionary should help language learners quickly understand the meaning of the target words. Relational information might also improve memorisation, by allowing the generation of structured vocabulary study lists. However, an open issue is which semantic relations are cognitively most salient, and should theref...

2012
Oi Yee Kwong

Mainstream word sense disambiguation systems have relied mostly on supervised approaches. Complex interactions have been observed between learning algorithms and knowledge sources, but the factors underlying such phenomena are underexplored. This calls for more qualitative analysis of disambiguation results, possibly from an inter-disciplinary perspective. The current study thus preliminarily e...

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