material ID: translations

Related Papers

Enriching Word Sense Embeddings with Translational Context

Authors: nan

Publication: TIPSTER (2015)

DOI: nan

Vector-space models derived from corpora are an effective way to learn a representa- tion of word meaning directly from data, and these models have many uses in prac- tical applications. …...

29473

Break it Down for Me: A Study in Automated Lyric Annotation

Authors: nan

Publication: TIPSTER (2017)

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AbstractComprehending lyrics, as found in songs and poems, can pose a challenge to human and machine readers alike. This motivates the need for systems that can understand the ambiguity and …...

32786

Samsung and University of Edinburgh’s System for the IWSLT 2018 Low Resource MT Task

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Publication: TIPSTER (2018)

DOI: nan

AbstractThis paper describes the joint submission to the IWSLT 2018 Low Resource MT task by Samsung R&D Institute, Poland, and the University of Edinburgh. We focused on supplementing the very …...

20620

Lexicogrammatic translationese across two targets and competence levels

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThis research employs genre-comparable data from a number of parallel and comparable corpora to explore the specificity of translations from English into German and Russian produced by students and professional …...

14508

CSECU-DSG at SemEval-2021 Task 1: Fusion of Transformer Models for Lexical Complexity Prediction

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Publication: TIPSTER (2021)

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AbstractLexical complexity prediction (LCP) conveys the anticipation of the complexity level of a token or a set of tokens in a sentence. It plays a vital role in the improvement …...

25631

Semi-Supervised and Unsupervised Sense Annotation via Translations

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractAcquisition of multilingual training data continues to be a challenge in word sense disambiguation (WSD). To address this problem, unsupervised approaches have been proposed to automatically generate sense annotations for …...

20287