Translationese in Russian Literary Texts

The paper reports the results of a translationese study of literary texts based on translated and non-translated Russian. We aim to find out if translations deviate from non-translated literary texts, and if the established differences can be attributed to typological relations between source and target languages. We expect that literary translations from typologically distant languages should exhibit more translationese, and the fingerprints of individual source languages (and their families) are traceable in translations. We explore linguistic properties that distinguish non-translated Russian literature from translations into Russian. Our results show that non-translated fiction is different from translations to the degree that these two language varieties can be automatically classified. As expected, language typology is reflected in translations of literary texts. We identified features that point to linguistic specificity of Russian non-translated literature and to shining-through effects. Some of translationese features cut across all language pairs, while others are characteristic of literary translations from languages belonging to specific language families.

NEREL: A Russian Dataset with Nested Named Entities, Relations and Events

In this paper, we present NEREL, a Russian dataset for named entity recognition and relation extraction. NEREL is significantly larger than existing Russian datasets: to date it contains 56K annotated named entities and 39K annotated relations. Its important difference from previous datasets is annotation of nested named entities, as well as relations within nested entities and at the discourse level. NEREL can facilitate development of novel models that can extract relations between nested named entities, as well as relations on both sentence and document levels. NEREL also contains the annotation of events involving named entities and their roles in the events. The NEREL collection is available via https://github.com/nerel-ds/NEREL.

Personality Trait Identification Using the Russian Feature Extraction Toolkit

Feature engineering is an important step in classical NLP pipelines, but machine learning engineers may not be aware of the signals to look for when processing foreign language text. The Russian Feature Extraction Toolkit (RFET) is a collection of feature extraction libraries bundled for ease of use by engineers who do not speak Russian. RFET's current feature set includes features applicable to social media genres of text and to computational social science tasks. We demonstrate the effectiveness of the tool by using it in a personality trait identification task. We compare the performance of Support Vector Machines (SVMs) trained with and without the features provided by RFET; we also compare it to a SVM with neural embedding features generated by Sentence-BERT.

تطور العلاقات الأطلسية- الروسية بعد انتهاء الحرب الباردة

The unexpected and rapid collapse of the Soviet Union has had significant implications for both the international and regional balance of power. The United State has devised a new formulation for its national security concept. This new strategy saw the need to overcome the geographical boundaries and then came the second Gulf war to represent an opportunity for the US to implement its vision of working unilaterally and combating any potential hegemon even from the European allies. For its part, Russia has endeavoured to reconstruct its relations with the world, especially with its neighbours, former allies and yesterday's enemy of the liberal West, and also to restructure its foreign policy, opening up to the West and deal with it on the basis of common interests, and dismantling Warsaw pact to enter into a new security project.

The development of Russian relations - Iran's post-Cold War

Russian-Iranian relations began crystallize and expand significantly after the end of the Cold War and the disintegration of the Soviet Union in 1991, but these relations seemed cautious in the beginning, despite the existence of common interests between both countries represented to strengthen Iran's military and economic capabilities, Russia considered as a supportive partner in this field, in addition to nuclear cooperation where Russia was the only country that has not been subject to pressure from the United States and accepted the signing of the contract for the establishment of the Iranian nuclear reactor, In contrast, Russia has considered these relationships an opportunity to improve its economy, which suffered a strong tremor after the disintegration of the Soviet Union.

International competition between the major powers the US-Russian relations model

International relations have witnessed great changes after the collapse of the Soviet Union, and the emergence of the United States pole sole controlled the fate of international relations, and the impact of these changes significant to the Russian Federation and the heir of the Soviet Union, as experienced international pressure continuing to encircle and isolate and control their own destiny, but it did not stand idle in front of this pressures, and was able, thanks to a set of political and economic variables and procedures for the Advancement again and restore its role as her weight in the world.