Transliteration is very important in the Indian language context due to the usage of multiple
scripts and the widespread use of romanized inputs. However, few training and evaluation …

In this paper we present a method for extracting bilingual terminologies from comparable
corpora. In our approach we treat bilingual term extraction as a classification problem. For …

This paper describes a method to mine Hindi-English transliteration pairs from online Hindi
song lyrics. The technique is based on the observations that lyrics are transliterated word-by …

Users of the WWW across the globe are increasing rapidly. According to Internet live stats
there are more than 3 billion Internet users worldwide today and the number of non-English …

It is well known that the use of a good Machine Transliteration system improves the retrieval
performance of Cross-Language Information Retrieval (CLIR) systems when the query and …

In this paper, we address the problem of mining transliterations of Named Entities (NEs) from
large comparable corpora. We leverage the empirical fact that multilingual news articles with …

Abstract Knowledge acquisition and bilingual terminology extraction from multilingual
corpora are challenging tasks for cross-language information retrieval. In this study, we …

In this paper, we present an unsupervised hybrid model which combines statistical, lexical,
linguistic, contextual, and temporal features in a generic EM-based framework to harvest …

Abstract “机器音译是基于语音相似性自动将文本从一种语言转换为另一种语言的过程,
它是机器翻译的一个子任务, 侧重于语音信息的翻译. 音译后可知道源单词在另一种语言中的 …

In this paper we make two contributions. First, we describe a multi-component system called
BiTES (Bilingual Term Extraction System) designed to automatically gather domain-specific …