Fusion on Languages

Effective Learning to Rank Persian Web Content

Persian language is one of the most widely used languages in the Web environment. Hence, the Persian Web includes invaluable information that is required to be retrieved effectively. Similar to other languages, ranking algorithms for the Persian Web content, deal with different challenges, such as applicability issues in real-world situations as well as the lack of user modeling. CF-Rank, as a ...

Fusion on Languages

Hierarchical Language Identification based on Automatic Language Clustering

Due to the limitation of single-level classification, existing fusion techniques experience difficulty in improving the performance of language identification when the number of languages and features are further increased. Given that the similarity of feature distribution between different languages may vary, we propose a novel hierarchical language identification framework with multi-level cl...

A robust fusion method for multilingual spoken document retrieval systems employing tiered resources

In this study, we present two novel fusion approaches to merge subword and word based retrieval methods within a multilingual spoken document retrieval (SDR) system. Considering the fact that more than 6000 languages are spoken in the world today, resources (e.g., text and audio data, pronunciation lexicon) needed to develop Automatic Speech Recognition (ASR) systems for such a range of languag...

KU-ISPL Language Recognition System for NIST 2015 i-Vector Machine Learning Challenge

In language recognition, the task of rejecting/differentiating closely spaced versus acoustically far spaced languages remains a major challenge. For confusable closely spaced languages, the system needs longer input test duration material to obtain sufficient information to distinguish between languages. Alternatively, if languages are distinct and not acoustically/linguistically similar to ot...

Evaluation and Comparison of multilingual fusion strategies for similarity-based Word Sense Disambiguation

In this article, we investigate the effects on the quality of the disambiguation of exploiting multilingual features with a similaritybased WSD system based on an Ant Colony Algorithm. We considered features from one, two, three or four languages in order to quantify the improvement brought by using features from additional languages. Using BabelNet as a multilingual resource, we considered thr...