Parallel corpus is a key component of statistical and Neural Machine Translation (NMT).
While most research focuses on machine translation, corpus creation studies are limited for …

An imbalance in urban development in China has become a contradiction. Points of Interest
(POIs) serve as representations of the spatial distribution of urban functions. Analyzing POI …

Using a trilingual parallel corpus, this article investigates the translation of Chinese political
speeches in Italian and English, with the aim to explore cross-linguistic variations regarding …

Exploring the efficacy of multilingual prompt engineering for sentiment analysis reveals a
promising avenue for extending the adaptability of large language models (LLMs) beyond …

Today, access to the Internet provides access to various forms of knowledge like free online
lecture series offered by prestigious universities, massive open online courses, films and …

Background The increasing global cancer incidence corresponds to serious health impact in
countries worldwide. Knowledge-powered health system in different languages would …

This research analyzes pronominal anaphora in a Turkish and English translated TED
corpus, namely the TED-MDB (Zeyrek et al., 2020) and presents a heuristic-based resolution …

In this work, we introduce a method of constructing a Chinese-Vietnamese bilingual corpus
on subtitle resources. The corpus construction process involved careful curation and …

The word alignment process, which is a critical step in statistical translation systems (SMT),
has been suggested by several researchers as a promising track for enhancing neural …

In this paper we present the efforts to diversify Serbian-French-English-Spanish corpus
ParCoLab. ParCoLab is the project led by CLLE research unit (UMR 5263 CNRS) at the …