Many of today’s applications embed textual chat interfaces or work with multilingual textual information. The Multilingual Information Framework (MLIF) [ISO DIS 24616] is being designed in order to fulfill the multilingual needs of today’s applications. Within our research activity for the MLIF standard, we developed the Multilingual-Assisted Chat Interface, which intends to help people communi...

Multilingual aspects have been gaining more and more attention in recent years. This trend has been accentuated by the global integration of European states and the vanishing cultural and social boundaries. Multilingual text processing has become an important field bringing a lot of new and interesting problems. This paper describes a novel approach to multilingual plagiarism detection. We prop...

Multilingual sentiment analysis attracts increased attention as the massive growth of multilingual web contents. This conducts to study opinions across different languages by comparing the underlying messages written by different people having different opinions. In this paper, we propose Sentiment based Comparability Measures (SCM) to compare opinions in multilingual comparable articles withou...

Multilingual Wikipedia has been used extensively for a variety Natural Language Processing (NLP) tasks. Many Wikipedia entries (people, locations, events, etc.) have descriptions in several languages. These descriptions, however, are not identical. On the contrary, descriptions in different languages created for the same Wikipedia entry can vary greatly in terms of description length and inform...

This paper presents implementation of MLIF [1] (Multilingual Information Framework), a high level model for describing multilingual data across wide range of possible applications in translation/localization process within several multimedia domains (e.g. broadcasting of interactive multimedia applications), natural language interfaces, geographical information systems for multilingual communit...

Multilinguality aspects are becoming increasingly important in the Automatic Speech Recognition (ASR) systems. It is apparent that coping with large variability of the speech signal is an even bigger challenge in multilingual ASR systems than it has been in conventional monolingual systems. In this paper, we address the importance of combining multilingual pronunciation modeling and acoustic mo...

EÆcient storage and query processing of data spanning multiple natural languages are of crucial importance in today's globalized world. A primary prerequisite to achieve this goal is that the principal data repositories, relational database systems, should eÆciently and seamlessly support multilingual data. Our survey of current relational systems indicates that while they do support storage an...

This thesis is about multilingual document clustering through estimating semantic relatedness between multilingual texts. Specifically we focus on the task of clustering multilingual documents with very limited or no supervisory information. We present two approaches to address the problem : a comparable-corpora based approach and a web-searches based approach. Our first approach derives pairwi...

This paper proposes an approach to rapidly update a multilingual deep neural network (DNN) acoustic model for low-resource keyword search (KWS). We use submodular data selection to select a small amount of multilingual data which covers diverse acoustic conditions and is acoustically close to a low-resource target language. The selected multilingual data together with a small amount of the targ...

This article tackles the problem of performing multilingual polarity classification on Twitter, comparing three techniques: (1) a multilingual model trained on a multilingual dataset, obtained by fusing existing monolingual resources, that does not need any language recognition step, (2) a dual monolingual model with perfect language detection on monolingual texts and (3) a monolingual model th...