Findings of the 2021 Conference on Machine Translation (WMT21).
Farhad AkhbardehArkady ArkhangorodskyMagdalena BiesialskaOndrej BojarRajen ChatterjeeVishrav ChaudharyMarta R. Costa-jussàCristina España-BonetAngela FanChristian FedermannMarkus FreitagYvette GrahamRoman GrundkiewiczBarry HaddowLeonie HarterKenneth HeafieldChristopher HomanMatthias HuckKwabena Amponsah-KaakyireJungo KasaiDaniel KhashabiKevin KnightTom KocmiPhilipp KoehnNicholas LourieChristof MonzMakoto MorishitaMasaaki NagataAjay NageshToshiaki NakazawaMatteo NegriSantanu PalAllahsera Auguste TapoMarco TurchiValentin VydrinMarcos ZampieriPublished in: WMT@EMNLP (2021)
Keyphrases
- machine translation
- language independent
- statistical machine translation
- language processing
- information extraction
- natural language processing
- word alignment
- word sense disambiguation
- cross lingual
- natural language generation
- target language
- natural language
- language resources
- chinese english
- cross language information retrieval
- tasks in natural language processing
- machine translation system
- parallel corpora
- brazilian portuguese
- query translation
- machine transliteration
- source language
- word level
- text categorization
- text mining
- information retrieval
- grammar induction