Structural Asymmetries in Machine Translation: The case of English-Japanese

Kauffmann, Alexis

doi:10.13097/archive-ouverte/unige:34540

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Multiword Expressions1

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2021

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“…Multiword expressions (MWE) have been the object of numerous studies in NLP (Baldwin and Kim, 2013). For example, Wehrli et al (2010) have studied collocations (mainly verb-object collocations), and how to detect and translate them, taking advantage of multiword lexical data, lexical tagging and syntactic parsing (see also Wehrli and Nerima 2018;Kauffmann 2013). Our model for INER is partly inspired by these works.…”

Section: Multiword Expressionsmentioning

confidence: 99%

Indirectly Named Entity Recognition

Kauffmann

Rey

Atanassova

et al. 2021

J. Comp. Assist. Linguist. Res.

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We define here indirectly named entities, as a term to denote multiword expressions referring to known named entities by means of periphrasis. While named entity recognition is a classical task in natural language processing, little attention has been paid to indirectly named entities and their treatment. In this paper, we try to address this gap, describing issues related to the detection and understanding of indirectly named entities in texts. We introduce a proof of concept for retrieving both lexicalised and non-lexicalised indirectly named entities in French texts. We also show example cases where this proof of concept is applied, and discuss future perspectives. We have initiated the creation of a first lexicon of 712 indirectly named entity entries that is available for future research.

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Section: Multiword Expressionsmentioning

confidence: 99%