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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 Page: 1 2 3 4 5 6 Hits 1 – 20 of 106 1 SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence Embedding ... Madabushi, Harish Tayyar; Gow-Smith, Edward; Garcia, Marcos. - : arXiv, 2022 BASE Show details 2 Improving Tokenisation by Alternative Treatment of Spaces ... Gow-Smith, Edward; Madabushi, Harish Tayyar; Scarton, Carolina. - : arXiv, 2022 BASE Show details 3 Investigating alignment interpretability for low-resource NMT [<Journal>] Boito, Marcely Zanon [Verfasser]; Villavicencio, Aline [Verfasser]; Besacier, Laurent [Verfasser] DNB Subject Category Language Show details 4 Investigating alignment interpretability for low-resource NMT Zanon Boito, Marcely; Villavicencio, Aline; Besacier, Laurent In: ISSN: 0922-6567 ; EISSN: 1573-0573 ; Machine Translation ; https://hal.archives-ouvertes.fr/hal-03139744 ; Machine Translation, Springer Verlag, 2021, &#x27E8;10.1007/s10590-020-09254-w&#x27E9; (2021) BASE Show details 5 AStitchInLanguageModels: Dataset and Methods for the Exploration of Idiomaticity in Pre-Trained Language Models ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Carolina; Gow-Smith, Edward. - : Underline Science Inc., 2021 BASE Show details 6 Unsupervised Word Segmentation from Discrete Speech Units in Low-Resource Settings ... Boito, Marcely Zanon; Yusuf, Bolaji; Ondel, Lucas. - : arXiv, 2021 BASE Show details 7 Assessing the Representations of Idiomaticity in Vector Models with a Noun Compound Dataset Labeled at Type and Token Levels ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; ., Carolina; Garcia, Marcos. - : Underline Science Inc., 2021 BASE Show details 8 The Role of negative information when learning dense word vectors ; O papel da informação negativa na aprendizagem de vetores palavra densos Salle, Alexandre Tadeu. - 2021 BASE Show details 9 Investigating Language Impact in Bilingual Approaches for Computational Language Documentation Zanon Boito, Marcely; Villavicencio, Aline; Besacier, Laurent In: Proceedings of the 1st Joint SLTU and CCURL Workshop (SLTU-CCURL 2020), ; SLTU-CCURL workshop, LREC 2020 ; https://hal.archives-ouvertes.fr/hal-02895907 ; SLTU-CCURL workshop, LREC 2020, May 2020, Marseille, France (2020) BASE Show details 10 Annotated corpora and tools of the PARSEME Shared Task on Semi-Supervised Identification of Verbal Multiword Expressions (edition 1.2) Ramisch, Carlos; Guillaume, Bruno; Savary, Agata. - : PARSEME, 2020 BASE Show details 11 Investigating Language Impact in Bilingual Approaches for Computational Language Documentation ... Boito, Marcely Zanon; Villavicencio, Aline; Besacier, Laurent. - : arXiv, 2020 BASE Show details 12 Empirical Evaluation of Sequence-to-Sequence Models for Word Discovery in Low-resource Settings Zanon Boito, Marcely; Villavicencio, Aline; Besacier, Laurent In: Interspeech 2019 ; https://hal.archives-ouvertes.fr/hal-02193867 ; Interspeech 2019, Sep 2019, Graz, Austria (2019) Abstract: International audience ; Since Bahdanau et al. [1] first introduced attention for neural machine translation, most sequence-to-sequence models made use of attention mechanisms [2, 3, 4]. While they produce soft-alignment matrices that could be interpreted as alignment between target and source languages, we lack metrics to quantify their quality, being unclear which approach produces the best alignments. This paper presents an empirical evaluation of 3 of the main sequence-to-sequence models for word discovery from unsegmented phoneme sequences: CNN, RNN and Transformer-based. This task consists in aligning word sequences in a source language with phoneme sequences in a target language, inferring from it word segmentation on the target side [5]. Evaluating word segmentation quality can be seen as an extrinsic evaluation of the soft-alignment matrices produced during training. Our experiments in a low-resource scenario on Mboshi and English languages (both aligned to French) show that RNNs surprisingly outperform CNNs and Transformer for this task. Our results are confirmed by an intrinsic evaluation of alignment quality through the use Average Normalized Entropy (ANE). Lastly, we improve our best word discovery model by using an alignment entropy confidence measure that accumulates ANE over all the occurrences of a given alignment pair in the collection. Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; computational language documentation; low-resource languages; sequence-to-sequence models; soft-alignment matrices; word discovery URL: https://hal.archives-ouvertes.fr/hal-02193867/file/IS2019marcely-camera-ready.pdf https://hal.archives-ouvertes.fr/hal-02193867 https://hal.archives-ouvertes.fr/hal-02193867/document BASE Hide details 13 Unsupervised Compositionality Prediction of Nominal Compounds Cordeiro, Silvio; Villavicencio, Aline; Idiart, Marco... In: ISSN: 0891-2017 ; EISSN: 1530-9312 ; Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-02318196 ; Computational Linguistics, Massachusetts Institute of Technology Press (MIT Press), 2019, 45 (1), pp.1-57. &#x27E8;10.1162/coli_a_00341&#x27E9; (2019) BASE Show details 14 How Does Language Influence Documentation Workflow? Unsupervised Word Discovery Using Translations in Multiple Languages Zanon Boito, Marcely; Villavicencio, Aline; Besacier, Laurent In: Journées Scientifiques du Groupement de Recherche: Linguistique Informatique, Formelle et de Terrain (LIFT). ; https://hal.archives-ouvertes.fr/hal-02895895 ; Journées Scientifiques du Groupement de Recherche: Linguistique Informatique, Formelle et de Terrain (LIFT)., Nov 2019, Orléans, France (2019) BASE Show details 15 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 16 CogniVal: A Framework for Cognitive Word Embedding Evaluation de la Torre, Antonio; Langer, Nicolas; Zhang, Ce... In: Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL) (2019) BASE Show details 17 Unsupervised Compositionality Prediction of Nominal Compounds Cordeiro, Silvio; Villavicencio, Aline; Idiart, Marco. - : MIT Press, 2019 BASE Show details 18 A small Griko-Italian speech translation corpus Zanon Boito, Marcely; Anastasopoulos, Antonios; Lekakou, Marika... In: 6th international workshop on spoken language technologies for under-resourced languages(SLTU'18) ; https://hal.archives-ouvertes.fr/hal-01962528 ; 6th international workshop on spoken language technologies for under-resourced languages(SLTU'18), Aug 2018, New Delhi, India (2018) BASE Show details 19 Unsupervised Word Segmentation from Speech with Attention Godard, Pierre; Zanon Boito, Marcely; Ondel, Lucas... In: Interspeech 2018 ; https://hal.archives-ouvertes.fr/hal-01818092 ; Interspeech 2018, Sep 2018, Hyderabad, India (2018) BASE Show details 20 Language, Cognition, and Computational Models Poibeau, Thierry; Villavicencio, Aline. - : HAL CCSD, 2018. : Cambridge University Press, 2018 In: https://hal.archives-ouvertes.fr/hal-01722351 ; Cambridge University Press, 2018 ; https://www.cambridge.org/core/books/language-cognition-and-computational-models/90CC7DBA6CADB1FE361266D311CB4413 (2018) BASE Show details Page: 1 2 3 4 5 6

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