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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 8 of 8 1 Investigating alignment interpretability for low-resource NMT [<Journal>] Boito, Marcely Zanon [Verfasser]; Villavicencio, Aline [Verfasser]; Besacier, Laurent [Verfasser] DNB Subject Category Language Show details 2 Unsupervised Word Segmentation from Discrete Speech Units in Low-Resource Settings ... Boito, Marcely Zanon; Yusuf, Bolaji; Ondel, Lucas. - : arXiv, 2021 BASE Show details 3 Investigating Language Impact in Bilingual Approaches for Computational Language Documentation ... Boito, Marcely Zanon; Villavicencio, Aline; Besacier, Laurent. - : arXiv, 2020 BASE Show details 4 MaSS - Multilingual corpus of Sentence-aligned Spoken utterances ... Boito, Marcely Zanon; Havard, William N.; Mahault Garnerin; Éric Le Ferrand; Besacier, Laurent. - : Zenodo, 2019 Abstract: Abstract The CMU Wilderness Multilingual Speech Dataset is a newly published multilingual speech dataset based on recorded readings of the New Testament. It provides data to build Automatic Speech Recognition (ASR) and Text-to-Speech (TTS) models for potentially 700 languages. However, the fact that the source content (the Bible), is the same for all the languages is not exploited to date. Therefore, this article proposes to add multilingual links between speech segments in different languages, and shares a large and clean dataset of 8,130 para-lel spoken utterances across 8 languages (56 language pairs).We name this corpus MaSS (Multilingual corpus of Sentence-aligned Spoken utterances). The covered languages (Basque, English, Finnish, French, Hungarian, Romanian, Russian and Spanish) allow researches on speech-to-speech alignment as well as on translation for syntactically divergent language pairs. The quality of the final corpus is attested by human evaluation performed on a corpus subset (100 utterances, ... Keyword: parallel speech corpus, multilingual alignment, speech-to-speech alignment, speech-to-speech translation URL: https://zenodo.org/record/3354710 https://dx.doi.org/10.5281/zenodo.3354710 BASE Hide details 5 MaSS - Multilingual corpus of Sentence-aligned Spoken utterances ... Boito, Marcely Zanon; Havard, William N.; Mahault Garnerin. - : Zenodo, 2019 BASE Show details 6 How Does Language Influence Documentation Workflow? Unsupervised Word Discovery Using Translations in Multiple Languages ... Boito, Marcely Zanon; Villavicencio, Aline; Besacier, Laurent. - : arXiv, 2019 BASE Show details 7 Unwritten Languages Demand Attention Too! Word Discovery with Encoder-Decoder Models ... Boito, Marcely Zanon; Berard, Alexandre; Villavicencio, Aline. - : arXiv, 2017 BASE Show details 8 Simplificação lexical de substantivos e multiword expressions Boito, Marcely Zanon. - 2014 BASE Show details

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