Please cite the paper when referencing the SONAR embedding space, encoders and decoders as: @misc{Duquenne:2023:sonar_arxiv, author = {Paul-Ambroise Duquenne and Holger Schwenk and Benoit Sagot}, title = {{SONAR:} Sentence-Level Multimodal and Language-Agnostic Representations}, publisher = ...
As discussed in the paper, we also provide an assembled training set consisting of samples The Belebele dataset is intended to be used only as a test set, and not for training or validation. Therefore, for models that require additional task-specific training, we instead propose using an ass...
“Writing is the production of thought for oneself or others under the direction of one’s goal-directed metacognitive monitoring and control, and the translation of that thought into an external symbolic representation” (Hacker, Keener, & Kircher, 2009, p. 154). How HMH Into Literature Aligns...
This study aims to determine the convergent and discriminant validity and internal consistent reliability of the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 (EORTC QLQ-C30) Tagalog among adult Filipinos with differentiated thyroid cancer (DTC).#104 ad...
The first two rows are baselines from the XNLI paper and the last three rows are our results with BERT. Translate Trainmeans that the MultiNLI training set was machine translated from English into the foreign language. So training and evaluation were both done in the foreign language. Unfortunate...
zho_Hantzho_trad zsm_Latnmsa zul_Latnzul FLORES-101is a Many-to-Many multilingual translation benchmark dataset for 101 languages. FLORESv1 included Nepali, Sinhala, Pashto, and Khmer. If you use this data in your work, please cite:
one of “literal translation” (which is, incidentally, widely criticized in translation studies; seeDurieux 2007;Meschonnic 1999); (2) independent fieldwork, which involves the interpreter taking a leading role in the data collection by meeting participants without the presence of the researcher, ...
University, Penrith, NSW 2751, Australia; m.j.singh@westernsydney.edu.au Academic Editor: James Albright Received: 29 September 2016; Accepted: 25 January 2017; Published: 20 February 2017 Abstract: This paper reports on the ground-breaking research in the study of languages in doctoral ...
Babel(17 languages, 1.7k hours):Assamese, Bengali, Cantonese, Cebuano, Georgian, Haitian, Kazakh, Kurmanji, Lao, Pashto, Swahili, Tagalog, Tamil, Tok, Turkish, Vietnamese, Zulu We also finetuned several models on languages fromCommonVoice(version 6.1) andBabel. Please refer toour paperfor ...
As discussed in the paper, we also provide an assembled training set consisting of samplesThe Belebele dataset is intended to be used only as a test set, and not for training or validation. Therefore, for models that require additional task-specific training, we instead propose using an ...