نتایج جستجو برای: personal names

تعداد نتایج: 177535  

Journal: :Voprosy onomastiki 2022

The study attempts to analyze modern Chinese male personal names from the standpoint of semantics most frequently used lexemes, thereby revealing a corpus words (hieroglyphs) that serve designate “masculine” in name system. author relies on recent data obtained survey with 200 respondents, however, historical are also considered. It is established linguistic culture, masculinity multifaceted co...

Journal: :Journal of Language and Translation 2022

Nouns in the Ẹdo language have been analysed as obligatorily beginning with a vowel. This paper examines personal names one instance which that previously conclusive assumption is violated. The synchronic data this study show are freely transformed such way they used word initial consonants. considers phenomenon resyllabification process seeks to modify CVCV syllable pattern. were collected fro...

Journal: :Poznańskie Studia Polonistyczne. Seria Językoznawcza 2014

Journal: :St.Tikhons' University Review. Series III. Philology 2014

2013
Ajanthaa Lakkshmanan

A person is generally called by different names, it is difficult to identify a person from the web, person will be called by different names by different people for example, Michael Jackson is called as MJ and some call him ” king of pop” , so there will be not trouble-free in penetrating the names from the web . Accurate identification of name of a given person is useful in various web related...

2010
Yang Song Zhengyan He Chen Chen Houfeng Wang

In this paper, we describe our system for Chinese personal name disambiguation task in the first CIPSSIGHAN joint conference on Chinese Language Processing(CLP2010). We use a pipeline approach, in which preprocessing, unrelated documents discarding, Chinese personal name extension and document clustering are performed separately. Chinese personal name extension is the most important part of the...

2007
Ying Chen James H. Martin

The increasing number of web sources is exacerbating the named-entity ambiguity problem. This paper explores the use of various token-based and phrase-based features in unsupervised clustering of web pages containing personal names. From these experiments, we find that the use of rich features can significantly improve the disambiguation performance for web personal names.

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