Multilingual Parallel Corpus

AbstractDiscourse structure and coherence relations are one of the main inferential challenges addressed by computational pragmatics. The present study focuses on discourse markers as key elements in guiding the inferences …...

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-art performance. Nevertheless, such large bilingual corpora are unavailable …...

This study discusses the curve-fitting results of the frequency distributions of dependency distances in sentences from a multi-lingual parallel corpus. It assumes that these distributions fit a mathematically well-defined distribution …...

AbstractDiscourse markers carry information about the discourse structure and organization, and also signal local dependencies or epistemological stance of speaker. They provide instructions on how to interpret the discourse, and …...

AbstractThe multilingual parallel corpus is an important resource for many applications of natural language processing (NLP). For machine translation, the size and quality of the training corpus mainly affects the …...