Mainstream research on hate speech focused so far predominantly on the task of classifying mainly social media posts with respect to predefined typologies of rather coarse-grained hate speech categories. This may be sufficient if the goal is to detec
t and delete abusive language posts. However, removal is not always possible due to the legislation of a country. Also, there is evidence that hate speech cannot be successfully combated by merely removing hate speech posts; they should be countered by education and counter-narratives. For this purpose, we need to identify (i) who is the target in a given hate speech post, and (ii) what aspects (or characteristics) of the target are attributed to the target in the post. As the first approximation, we propose to adapt a generic state-of-the-art concept extraction model to the hate speech domain. The outcome of the experiments is promising and can serve as inspiration for further work on the task
The aim of this paper is to describe the process carried out to develop a paral-lel corpus comprised of texts extracted from the corporate websites of south-ern Spanish SMEs from the sanitary sector which will serve as the basis for MT quality assess
ment. The stages for compiling the parallel corpora were: (i) selection of websites with content translated in English and Spanish, (ii) downloading of the HTML files of the selected websites, (iii) files filtering and pairing of English files with their Spanish equivalents, (iv) compilation of individual corpora (EN and ES) for each of the selected websites, (v) merging of the individual corpora into a two general corpus one in English and the other in Spanish, (vi) selection a representative sample of segments to be used as original (ES) and reference translations (EN), (vii) building of the parallel corpus intended for MT evaluation. The parallel corpus generated will serve to future Machine Translation quality assessment. In addition, the monolingual corpora generated during the process could as a base to carry out research focused on linguistic -- bilingual or monolingual − analysis.
Mapping user locations to countries can be useful for many applications such as dialect identification, author profiling, recommendation system, etc. Twitter allows users to declare their locations as free text, and these user-declared locations are
often noisy and hard to decipher automatically. In this paper, we present the largest manually labeled dataset for mapping user locations on Arabic Twitter to their corresponding countries. We build effective machine learning models that can automate this mapping with significantly better efficiency compared to libraries such as geopy. We also show that our dataset is more effective than data extracted from GeoNames geographical database in this task as the latter covers only locations written in formal ways.
The aim of the current research is to identify the effect of university
students' use of social networking sites to achieve personal and social
compatibility according to their theoretical and applied competencies,
and to exacerbate gender differe
nces in the use of these sites on their
personal and social consensus better.
This study investigated the effect of adding different
percentages of sand to several types of clay soils, Which used as
liners at solid waste landfill sites in order to find the best mixing
ratio (sand - clay).
Abo Rabah is one of the most important structures in the Al- Daw
basin, because of the great tectonic complexity that has been
exposed during the geological history, and being one of the most
important gas producing areas in Syria. That explains t
he
importance of its study. Our applied studies indicates that there is
significant variation in salt thickness depending on sedimentation
and tectonic factors, which directly affects the kurachine dolomite
gas reservoir, Here lies the importance of this paper.
In this study, the effect of temperature on volume strains in three
types of local clay soils was studied after adding different percentages of
sand for each soil (10%-20%-30%40%-50%) when temperatures change
from (20-60)° C to be used as liners i
n solid waste landfill sites . The
results of the study showed that the mixing of sand with the clay played a
key role in reducing the magnitude of volume strains between (24-27%)
of the value of strains.
This study explore the various geographical elements and resources of the cananean
kingdom of Ugarit (mountains, costal strips, plains, river valley, climate, etc), and its
exploitation by the ugaritic man, as a diversified economic and cultural re
sources, which
had a great impact on the prosperity and identity of the kingdom. The study identified the
majors elements and sites exploited in economic activities such as agriculture, timber, and
commerce : passage of inland transport and harbors, and others sites exploited in ritual
activities.
The research aims to expose the of The Educational Effects Social
Connections Network on University Youth. This research depended
on the descriptive approach. The questionnaire was toll used to
collect data. The questionnaire content (26) terms in three axis, they
are about effects: (personality, social and cultural).
This paper presents the producing of touristic tour using tourist data and management
the data in GIS environment by using the extension network analyst in ARCGIS to find the
better time routine with time as obstacle. The base map was the tourist m
ap for Tartous
with scale 1:250 000.
DTM and several three dimension data was generated for studying area for helping
people to know nature of the area, by using the topographic map for Tartous with scale
1/250000 . Also, in this research the spatial tourist data base was generated for Tartous
province using GIS which contains data about road, town, ruins sites, services ( like oil
stations, restaurants and hotels and others serve the tourist).
Network analyst was applied on ruins sites in Tartous province to calculate the better
routine from the hotel to supposed several ruins sites.
The integration between tourist data and ArcGIS software with its extension
network analyst can help for obtaining better touristic services by determining the better
touristic tour to visit the desirable touristic sites in short time.
