English-Korean Named Entity Transliteration Using Substring Alignment and Re-ranking Methods

NCU IISR English-Korean and English-Chinese Named Entity Transliteration Using Different Grapheme Segmentation Approaches

ANETAC: Arabic Named Entity Transliteration and Classification Dataset

In this paper, we make freely accessible ANETAC our English-Arabic named entity transliteration and classification dataset that we built from freely available parallel translation corpora. The dataset contains 79,924 ins…

Design Challenges in Named Entity Transliteration

We analyze some of the fundamental design challenges that impact the development of a multilingual state-of-the-art named entity transliteration system, including curating bilingual named entity datasets and evaluation o…

Analysis of Zero-Shot Crosslingual Learning between English and Korean for Named Entity Recognition

This paper presents a English-Korean parallel dataset that collects 381K news articles where 1,400 of them, comprising 10K sentences, are manually labeled for crosslingual named entity recognition (NER). The annotation g…

A Myanmar (Burmese)-English Named Entity Transliteration Dictionary

Transliteration is generally a phonetically based transcription across different writing systems. It is a crucial task for various downstream natural language processing applications. For the Myanmar (Burmese) language, …