scholarly journals C-BiLDA extracting cross-lingual topics from non-parallel texts by distinguishing shared from unshared content

2015 ◽  
Vol 30 (5) ◽  
pp. 1299-1323 ◽  
Author(s):  
Geert Heyman ◽  
Ivan Vulić ◽  
Marie-Francine Moens
Keyword(s):  
Cross Lingual ◽  
Parallel Texts

scholarly journals Language engineering for syntactic knowledge transfer

2012 ◽  
Vol 9 (3) ◽  
pp. 1231-1247 ◽  
Author(s):  
Mihaela Colhon
Keyword(s):  
Knowledge Transfer ◽  
Syntactic Parsing ◽  
Language Engineering ◽  
Syntactic Knowledge ◽  
Cross Lingual ◽  
Parallel Texts

In this paper we present a method for an English-Romanian treebank construction, together with the obtained evaluation results. The treebank is built upon a parallel English-Romanian corpus word-aligned and annotated at the morphological and syntactic level. The syntactic trees of the Romanian texts are generated by considering the syntactic phrases of the English parallel texts automatically resulted from syntactic parsing. The method reuses and adjusts existing tools and algorithms for cross-lingual transfer of syntactic constituents and syntactic trees alignment.

scholarly journals Multilingual Projection for Parsing Truly Low-Resource Languages

2016 ◽  
Vol 4 ◽  
pp. 301-312 ◽  
Author(s):  
Željko Agić ◽  
Anders Johannsen ◽  
Barbara Plank ◽  
Héctor Martínez Alonso ◽  
Natalie Schluter ◽  
...  
Keyword(s):  
Empirical Evaluation ◽  
Upper Bounds ◽  
Low Resource ◽  
Part Of Speech Tagging ◽  
Part Of Speech ◽  
Novel Approach ◽  
Cross Lingual ◽  
Test Languages ◽  
Speech Tagging ◽  
Parallel Texts

We propose a novel approach to cross-lingual part-of-speech tagging and dependency parsing for truly low-resource languages. Our annotation projection-based approach yields tagging and parsing models for over 100 languages. All that is needed are freely available parallel texts, and taggers and parsers for resource-rich languages. The empirical evaluation across 30 test languages shows that our method consistently provides top-level accuracies, close to established upper bounds, and outperforms several competitive baselines.

Propensity Score Matching in Cross-Lingual Test Equating

2012 ◽  
Author(s):  
Xin Liu ◽  
Xiaobin Zhou ◽  
Jianjun Zhu ◽  
Jing-Jen Wang
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Test Equating ◽  
Cross Lingual

Relation of the Saccasa?khepa??k? Called S?ratthas?lin? to the Vinayavinicchaya??k? Called Vinayas?ratthasand?pan?

2018 ◽  
Vol 35 (1-2) ◽  
pp. 189-223
Author(s):  
Petra Kieffer-Pülz
Keyword(s):  
Thirteenth Century ◽  
Present Contribution ◽  
The Common ◽  
Literary Histories ◽  
High Degree ◽  
Parallel Texts

The present contribution suggests the common authorship of three P?li commentaries of the twelfth/thirteenth centuries CE, namely the Vinayavinicchaya??k? called Vinayas?ratthasand?pan? (less probably Vinayatthas?rasand?pan?), the Uttaravinicchaya??k? called L?natthappak?san?, and the Saccasa?khepa??k? called S?ratthas?lin?. The information collected from these three commentaries themselves and from P?li literary histories concerning these three texts leads to the second quarter of the thirteenth century CE as the period of their origination. The data from parallel texts explicitly stated to having been written by V?cissara Thera in the texts themselves render it possible to establish with a high degree of probability V?cissara Thera as their author.

Learning to Adapt Credible Knowledge in Cross-lingual Sentiment Analysis

2015 ◽  
Author(s):  
Qiang Chen ◽  
Wenjie Li ◽  
Yu Lei ◽  
Xule Liu ◽  
Yanxiang He
Keyword(s):  
Sentiment Analysis ◽  
Cross Lingual

Концептологический подход к компаративному анализу терминологии сердечно-сосудистой системы человека и его практическая важность в контексте переводческих методик/Conceptual Approach Used in the Development of a Glossary of Medical Terms Russian-Spanish

2015 ◽  
Vol 2 ◽  
pp. 110-121
Author(s):  
María Shcherbakova
Keyword(s):  
Healthcare Setting ◽  
Comprehensive Analysis ◽  
Medical Terminology ◽  
Medical Systems ◽  
Conceptual Approach ◽  
Main Hypothesis ◽  
Common Mistake ◽  
Medical Terms ◽  
The Subject ◽  
Parallel Texts

В течение последних нескольких десятилетий проблемы терминологии привлекли внимание многих исследователей и ученых, что может объясняться растущей важностью науки в жизни людей. Развитие медицинской терминологии началось много веков назад и продолжается по сей день. Основная цель этой работы заключается в рассмотрении терминологического глоссария сердечно-сосудистой системы, созданного на основе  Nomina Anatomical 2001 года, а также в комплексном анализе перевода специализированной терминологии. Наряду с разработкой испано-русского двуязычного глоссария, мы также обратили внимание на анализ собранных данных и комментарии, которые могут предотвратить ошибки и путаницу среди переводчиков и получателей переведенной информации. Для достижения целей мы прибегли к методу анализа параллельных текстов на выбранную тему в испанском и русском языках, а также к методу визуализации, что позволило нам перевести термины из списка и гарантировать высокий уровень точности, объективности, корректности, эквивалентности и адекватности. Основной гипотезой данной статьи является то, что, несмотря на греческое и латинское происхождение большинства выбранных терминов на испанском и значительной их части в русском языке, дословный перевод представляет собой наиболее серьезную и наиболее распространенную ошибку, которую совершают переводчики медицинских текстов, что объясняется особенностями развития медицинских систем в русском и испанском языках, где каждая отрасль терминологии сосредоточилась на своих собственных эволюционных принципах.Resumen: En las últimas décadas, los problemas de la terminología han llamado la atención de muchos investigadores y científicos, lo cual se explica por la creciente importancia que adquiere la ciencia en la vida de las personas. La terminología médica empezó su formación hace siglos y sigue desarrollándose hasta el momento. El objetivo de nuestro trabajo es dar cuenta de la creación de un glosario de la terminología del sistema cardiovascular basada en la Nómina Anatómica del año 2001 y un análisis exhaustivo de la traducción de términos realizada. Además de la elaboración de un glosario bilingüe español-ruso también nos hemos centrado en el análisis de datos recogidos y comentarios que pueden prevenir errores y confusiones para los traductores y otros destinatarios. Para conseguir los objetivos propuestos hemos optado principalmente por el método de análisis de textos paralelos acerca del tema elegido en español y en ruso, así como el de la metodología de visualización, lo que nos ha permitido traducir los términos de la lista representada garantizando el máximo nivel de fidelidad, objetividad, precisión, equivalencia y adecuación. La hipótesis principal del presente artículo consiste en que, a pesar del origen griego y latín de la mayoría de los términos seleccionados en castellano y una gran parte de los términos en ruso, la traducción literal de éstos representa el error más grave y más frecuente de los traductores de los textos médicos ya que debido a las peculiaridades del desarrollo de los sistemas de lenguajes médicos en español y en ruso, la terminología de cada idioma ha seguido sus propias pautas de evolución.Abstract: During the last few decades the problems of terminology have caught the attention of many researchers and scientists which can be explained by the growing importance of science in the lives of people. Medical terminology formation began centuries ago and keeps developing nowadays. The main objective of this paper is to discuss the terminological glossary of the cardiovascular system created based on the Nomina Anatomical 2001 as well as the comprehensive analysis of specialized terminology translation. Apart from the development of the Spanish-Russian bilingual glossary, I have also focused on the analysis of data collected and comments that can prevent errors and confusion among translators and recipients of the translated information. To achieve the objectives the method of analysis of parallel texts on the subject chosen has been used in Spanish and in Russian, as well as that of visualization, which allowed us to translate the terms from the list and guarantee the highest level of fidelity, objectivity, accuracy, equivalence and adequacy. The main hypothesis of this article is that, despite the Greek and Latin origin of most of the terms selected in Spanish and a large part of the terms in Russian, their literal translation represents the most serious and most common mistake that translators in healthcare setting make due to the peculiarities of the development of medical systems in Spanish and Russian languages, where each language terminology has followed its own guidelines of evolution.  

Improving DNN Bluetooth Narrowband Acoustic Models by Cross-Bandwidth and Cross-Lingual Initialization

2017 ◽  
Author(s):  
Xiaodan Zhuang ◽  
Arnab Ghoshal ◽  
Antti-Veikko Rosti ◽  
Matthias Paulik ◽  
Daben Liu
Keyword(s):  
Acoustic Models ◽  
Cross Lingual
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