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Findings of the IWSLT 2023 Evaluation Campaign.

Sweta AgrawalAntonios AnastasopoulosLuisa BentivogliOndrej BojarClaudia BorgMarine CarpuatRoldano CattoniMauro CettoloMingda ChenWilliam ChenKhalid ChoukriAlexandra ChronopoulouAnna CurreyThierry DeclerckQianqian DongKevin DuhYannick EstèveMarcello FedericoSouhir GahbicheBarry HaddowBenjamin HsuPhu Mon HtutHirofumi InagumaDávid JavorskýJohn JudgeYasumasa KanoTom KoRishu KumarPengwei LiXutai MaPrashant MathurEvgeny MatusovPaul McNameeJohn P. McCraeKenton MurrayMaria NadejdeSatoshi NakamuraMatteo NegriHa NguyenJan NiehuesXing NiuAtul Kr. OjhaJohn E. OrtegaProyag PalJuan PinoLonneke van der PlasPeter PolákElijah RippethElizabeth SaleskyJiatong ShiMatthias SperberSebastian StükerKatsuhito SudohYun TangBrian ThompsonKevin TranMarco TurchiAlex WaibelMingxuan WangShinji WatanabeRodolfo Zevallos
Published in: IWSLT@ACL (2023)
Keyphrases
  • empirical evidence
  • case study
  • relational databases
  • neural network
  • machine learning
  • artificial intelligence
  • computer vision
  • multi agent systems
  • qualitative analysis
  • empirical findings