Common representation learning (CRL), wherein different descriptions (or views) of the data
are embedded in a common subspace, has been receiving a lot of attention recently. Two …

For many languages that use non-Roman based indigenous scripts (eg, Arabic, Greek and
Indic languages) one can often find a large amount of user generated transliterated content …

Mining of transliterations from comparable or parallel text can enhance natural language
processing applications such as machine translation and cross language information …

This paper presents transliteration mining on the ACL 2010 NEWS workshop shared
transliteration mining task data. Transliteration mining was done using a generative …

In this paper, we address the problem of building a multilingual transliteration system using
an interlingual representation. Our approach uses international phonetic alphabet (IPA) to …

There exist a large amount of user generated Web content in Roman script for the
languages which are written in indigenous scripts for various reasons. In the light of this …

Much previous work on Transliteration Mining (TM) was conducted on short parallel snippets
using limited training data, and successful methods tended to favor recall. For such methods …

For many languages that use non-Roman based indigenous scripts (eg, Arabic, Greek and
Indic languages) one can often find a large amount of user generated transliterated content …

Among most existing methods of multi-lingual text clustering, the dictionary-based
approaches did not effectively deal with ambiguity and polysemy problem, the approaches …

This paper summarizes the scientific work presented at the 32nd European Conference on
Information Retrieval. It demonstrates that information retrieval (IR) as a research area …