Cross-lingual document clustering is the task of automatically organizing a large collection of multi-lingual documents into a few clusters, depending on their content or topic. It is well known that language barrier and translation ambiguity are two challenging issues for cross-lingual document representation. To this end, we propose to represent cross-lingual documents through statistical wor...

Cross-lingual topic detection within text is a feasible solution to resolving the language barrier in accessing the information. This paper presents a Chinese-English cross-lingual topic corpus (CLTC), in which 90,000 Chinese articles and 90,000 English articles are organized within 150 topics. Compared with TDT corpora, CLTC has three advantages. First, CLTC is bigger in size. This makes it po...

Despite interest in using cross-lingual knowledge to learn word embeddings for various tasks, a systematic comparison of the possible approaches is lacking in the literature. We perform an extensive evaluation of four popular approaches of inducing cross-lingual embeddings, each requiring a different form of supervision, on four typologically different language pairs. Our evaluation setup spans...

Statistical Parametric Speech Synthesis (SPSS) offers flexibility and computational advantage compared to other methods for Text-to-Speech Synthesis. While the speech output is intelligible, statistically trained voices are less natural due to the amount of signal processing and statistical averaging that goes into building the models. Much of the blame for the lack of naturalness falls on the ...

In this paper, we describe a technique to improve named entity recognition in a resource-poor language (Hindi) by using cross-lingual information. We use an on-line machine translation system and a separate word alignment phase to find the projection of each Hindi word into the translated English sentence. We estimate the cross-lingual features using an English named entity recognizer and the a...

The practice of cross-lingual transfer of speech technology is of increasing concern as the demand for recognition systems in multiple languages grows. Previous work has proved that: firstly, if there is a big difference between the source language and the target language, cross-lingual adaptation may not outperform scratch training even if the training set is limited; secondly, cross-lingual s...

Abstract. This paper describes the participation of RICOH in the monolingual and cross-lingual information retrieval tasks on German Indexing and Retrieval Testdatabase (GIRT) in the Cross-Language Evaluation Forum (CLEF) 2004. We used a morphological analyzer for word decompounding and parallel corpora for cross-lingual information retrieval. The performance of cross-lingual information retrie...