The advent of transformer-based models such as BERT has led to the rise neural ranking models. These have improved effectiveness retrieval systems well beyond that lexical term matching BM25. While monolingual tasks benefited from large-scale training collections MS MARCO and advances in architectures, cross-language fallen behind these advancements. This paper introduces ColBERT-X, a generaliz...

Bilinguals challenge the boundaries of languages’ distinct grammars – including their phonological systems and processes but impact code-switching on challenging these is not fully understood. The current study explores interaction between adult bilinguals’ two by investigating effects cross-language transfer processes. I investigate main questions: 1) Can a bilingual speaker cross-linguistical...

A machine translation model has been proposed where an input is translated through both source-language and target-language paraphrasing processes. We have implemented our prototype model for the Japanese-Chinese language pair. This paper describes our core idea of translation, where a source language paraphraser and a language transfer cooperates in translation by exchanging information about ...

When building rule-based machine translation systems, a considerable human effort is needed to code the transfer rules that are able to translate source-language sentences into grammatically correct target-language sentences. In this paper we describe how to adapt the alignment templates used in statistical machine translation to the rulebased machine translation framework. The alignment templa...