Machine Translation Research: A Scientometric Assessment of Global Publications Output during 2007-16

被引：3

作者：

Gupta, B. M. ^{[1
]}

Dhawan, S. M. ^{[2
]}

机构：

[1] 1173 Sect 15, Panchkula 134113, India

[2] 114 Dayanand Vihar, Delhi 110092, India

来源：

DESIDOC JOURNAL OF LIBRARY & INFORMATION TECHNOLOGY | 2019年 / 39卷 / 01期

关键词：

Machine translation; Global publications; Scientometrics; Bibliometrics;

D O I：

10.14429/djlit.39.1.13558

中图分类号：

G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];

学科分类号：

1205 ; 120501 ;

摘要：

The present study provides a quantitative and qualitative description of global machine translation research published during 2007-16 and as indexed in Scopus database. The study profiles research in the field on a series of measures, such as publications growth rate, global share, citation impact, share of international collaborative papers and distribution of publications by sub-areas. The study also profiles top contributing countries, organisations and authors in machine translation research on a series of bibliometric indicators. The study further reports characteristics of highly cited papers in the field.

引用

页码：31 / 38

页数：8

共 8 条

[1]

Brownlee Jason, 2017, NATURAL LANGUAGE PRO

[2] Publication trends and co-citation mapping of translation studies between 2000 and 2015 [J].