![]() (backtranslation, method based on equivalence constraint theory) under aĭiverse set of conditions. With (and in some cases is even superior to) several standard methods ![]() Weįind that, although simple, our synthetic code-mixing method is competitive This additional data, we adopt a curriculum learning approach where we firstįinetune the language models on synthetic data then on gold code-mixed data. Generating code-mixed texts from bilingual distributed representations that weĮxploit for improving language model performance. Of training data for code-mixing, we also propose a dependency-free method for (i.e., mT5 and mBART) on the task finding both to work well. Transformers Lore: Cybertronian Languages Commander Radix 9.29K subscribers Subscribe 19K views 5 years ago Today we take a look at what we know of various Cybertronian languages. ![]() Given the recent success of pretrained language models, weĪlso test the utility of two recent Transformer-based encoder-decoder models Range of models that convert monolingual English text into Hinglish (code-mixed Monolingual and code-mixed language pairs. Download a PDF of the paper titled Exploring Text-to-Text Transformers for English to Hinglish Machine Translation with Synthetic Code-Mixing, by Ganesh Jawahar and 3 other authors Download PDF Abstract: We describe models focused at the understudied problem of translating between
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