Sentence-level parallel data is essential for training machine translation systems. However,
existing parallel data is extremely limited for thousands of languages. In order to increase …

In this paper we explore a Japanese news simplification task. We designed a Japanese
news simplification task, constructed the data set for the task, and analyzed the manual …

In order to enable or facilitate online communication for people with an intellectual disability,
the Text-to-Pictograph translation system automatically translates Dutch written text into a …

The aim of this thesis proposal is to perform bilingual lexicon extraction for cases in which
small parallel corpora are available and it is not easy to obtain monolingual corpus for at …

Abstract: English to Urdu machine translation is still in its beginning and lacks simple
translation methods to provide motivating and adequate English to Urdu translation. In order …

Neural-based and phrase-based methods have shown the effectiveness and promising
results in the development of current machine translation. The two methods are compared …

Abstract Machine Translation is the inevitable technology to reduce communication barriers
in today's world. It has made substantial progress in recent years and is being widely used in …

Machine translation is the core problem for several natural language processing research
across the globe. However, building a translation system involving low-resource languages …

Phrase-based machine translation (MT) systems require large bilingual corpora for training.
Nevertheless, such large bilingual corpora are unavailable for most language pairs in the …

Current machine translation systems require large bilingual corpora for training data. With
large bilingual corpora, phrase-based and neural-based methods can achieve state-of-the …