Named entity recognition aims to classify words in a document into pre-defined target entity classes. It is now considered to be fundamental for many natural language processing tasks such as information retrieval, machine translation, information extraction and question answering. This paper presents a workflow to build an English-Vietnamese named entity corpus from an aligned bilingual corpus. The workflow is based on a state of the art named entity recognition tool to identify English named entities and map them into Vietnamese text. The paper also presents a detailed discussion about several mapping errors and differences between English and Vietnamese sentences that affect this task.
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Building English-Vietnamese Named Entity Corpus with Aligned Bilingual News Articles
Semantic Scholar · Computer Science · 2014
Abstract
Named entity recognition aims to classify words in a document into pre-defined target entity classes. It is now considered to be fundamental for many natural language processing tasks such as information retrieval, machine translation, information extraction and question answering. This paper presents a workflow to build an English-Vietnamese named entity corpus from an aligned bilingual corpus. The workflow is based on a state of the art named entity recognition tool to identify English named entities and map them into Vietnamese text. The paper also presents a detailed discussion about several mapping errors and differences between English and Vietnamese sentences that affect this task.