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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 First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERT Muller, Benjamin; Elazar, Yanai; Sagot, Benoît... In: https://hal.inria.fr/hal-03161685 ; 2021 (2021) BASE Show details 2 Can Multilingual Language Models Transfer to an Unseen Dialect? A Case Study on North African Arabizi Muller, Benjamin; Sagot, Benoît; Seddah, Djamé In: https://hal.inria.fr/hal-03161677 ; 2021 (2021) Abstract: Building natural language processing systems for non standardized and low resource languages is a difficult challenge. The recent success of large-scale multilingual pretrained language models provides new modeling tools to tackle this. In this work, we study the ability of multilingual language models to process an unseen dialect. We take user generated North-African Arabic as our case study, a resource-poor dialectal variety of Arabic with frequent code-mixing with French and written in Arabizi, a non-standardized transliteration of Arabic to Latin script. Focusing on two tasks, part-of-speech tagging and dependency parsing, we show in zero-shot and unsupervised adaptation scenarios that multilingual language models are able to transfer to such an unseen dialect, specifically in two extreme cases: (i) across scripts, using Modern Standard Arabic as a source language, and (ii) from a distantly related language, unseen during pretraining, namely Maltese. Our results constitute the first successful transfer experiments on this dialect, paving thus the way for the development of an NLP ecosystem for resource-scarce, non-standardized and highly variable vernacular languages. Keyword: [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing URL: https://hal.inria.fr/hal-03161677 BASE Hide details 3 Cross-Lingual GenQA: A Language-Agnostic Generative Question Answering Approach for Open-Domain Question Answering ... Muller, Benjamin; Soldaini, Luca; Koncel-Kedziorski, Rik. - : arXiv, 2021 BASE Show details 4 First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERT ... Muller, Benjamin; Elazar, Yanai; Sagot, Benoît. - : arXiv, 2021 BASE Show details 5 When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language Models Muller, Benjamin; Anastasopoulos, Antonis; Sagot, Benoît... In: https://hal.inria.fr/hal-03109106 ; 2020 (2020) BASE Show details 6 Can Multilingual Language Models Transfer to an Unseen Dialect? A Case Study on North African Arabizi ... Muller, Benjamin; Sagot, Benoit; Seddah, Djamé. - : arXiv, 2020 BASE Show details 7 When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language Models ... Muller, Benjamin; Anastasopoulos, Antonis; Sagot, Benoît. - : arXiv, 2020 BASE Show details 8 CamemBERT: a Tasty French Language Model Martin, Louis; Muller, Benjamin; Ortiz Suárez, Pedro Javier... In: https://hal.inria.fr/hal-02445946 ; 2019 (2019) BASE Show details

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