Jordanian Emigration: An Analysis of Migration Data

1980 ◽  
Vol 14 (3) ◽  
pp. 357-382 ◽  
Author(s):  
Ahmad A. Hammouda
Keyword(s):  
Secondary School ◽  
Linear Model ◽  
Household Survey ◽  
Young Males ◽  
School Certificate ◽  
Migration Data ◽  
Log Linear ◽  
Work Abroad ◽  
Analyze Data

This paper utilizes a log-linear model to analyze data of “The Multipurpose Household Survey; Jordanians Abroad 1975”. The findings indicate that the Jordanian emigrants are mainly young males (15–34 years of age) from the Amman District, most of whom have obtained the secondary school certificate. Only 41 percent of the emigrants left Jordan to work abroad. And only one person out of each 5.6 households left Jordan to live abroad.

scholarly journals Keith Stewartson, 20 September 1925 - 7 May 1983

1985 ◽  
Vol 31 ◽  
pp. 545-569
Keyword(s):  
Secondary School ◽  
Academic Career ◽  
Mechanics Of Fluids ◽  
School Certificate ◽  
The Family ◽  
Family Home

Keith Stewartson, one of the most mathematically profound of this century’s great applied mathematicians active in the mechanics of fluids, was brought up in Billingham, County Durham , where his father was a master baker. Keith was the youngest of three children, two boys and a girl, but his sister died very young and he was not subsequently able to remember her. Later on, an eminent academic career was nearly smothered at its inception when the eleven-plus examiners failed Keith Stewartson. Fortunately, however, they put him on a reserve list, from which he was in the end selected for entry to Stockton Secondary School. After a brilliant performance in the School Certificate Keith was encouraged to enter only a year later, in 1942, for the Higher School Certificate. Immediately after his extremely distinguished examination achievement leading to a State Scholarship and Kitchener Memorial Scholarship to St Catharine’s College, Cambridge, the family home received a direct hit from a German bomb. Happily, however, the Stewartsons escaped owing to their air-raid shelter’s robust construction.

Asymptotic results for a conditional Poisson log-linear model

1989 ◽  
Vol 7 (4) ◽  
pp. 267-270 ◽  
Author(s):  
Douglas G Bonett ◽  
P.M Bentler ◽  
J.Arthur Woodward
Keyword(s):  
Linear Model ◽  
Asymptotic Results ◽  
Log Linear ◽  
Conditional Poisson

scholarly journals A Cascaded Unsupervised Model for PoS Tagging

2021 ◽  
Vol 20 (1) ◽  
pp. 1-23
Author(s):  
Necva Bölücü ◽  
Burcu Can
Keyword(s):  
Linear Model ◽  
Language Processing ◽  
Bayesian Model ◽  
Linear Models ◽  
Syntactic Category ◽  
Semantic Parsing ◽  
Pos Tagging ◽  
Part Of Speech ◽  
Sentence Level ◽  
Log Linear

Part of speech (PoS) tagging is one of the fundamental syntactic tasks in Natural Language Processing, as it assigns a syntactic category to each word within a given sentence or context (such as noun, verb, adjective, etc.). Those syntactic categories could be used to further analyze the sentence-level syntax (e.g., dependency parsing) and thereby extract the meaning of the sentence (e.g., semantic parsing). Various methods have been proposed for learning PoS tags in an unsupervised setting without using any annotated corpora. One of the widely used methods for the tagging problem is log-linear models. Initialization of the parameters in a log-linear model is very crucial for the inference. Different initialization techniques have been used so far. In this work, we present a log-linear model for PoS tagging that uses another fully unsupervised Bayesian model to initialize the parameters of the model in a cascaded framework. Therefore, we transfer some knowledge between two different unsupervised models to leverage the PoS tagging results, where a log-linear model benefits from a Bayesian model’s expertise. We present results for Turkish as a morphologically rich language and for English as a comparably morphologically poor language in a fully unsupervised framework. The results show that our framework outperforms other unsupervised models proposed for PoS tagging.

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