unsupervisedmt

We have hosted the application unsupervisedmt in order to run this application in our online workstations with Wine or directly.

Quick description about unsupervisedmt:

Unsupervised Machine Translation is a research repository that implements both phrase-based SMT and neural MT approaches for translation without parallel corpora. The neural component supports multiple architectures�seq2seq, biLSTM with attention, and Transformer�and allows extensive parameter sharing across languages to improve data efficiency. Training relies on denoising auto-encoding and back-translation, with on-the-fly, multithreaded generation of synthetic parallel data to continually refresh supervision signals. The project also provides scripts to fetch and preprocess monolingual data, learn BPE codes, and train cross-lingual embeddings that bootstrap unsupervised alignment between languages. Beyond the core EMNLP 2018 setup, the codebase exposes additional, optional capabilities such as multi-language training, language model pretraining with shared parameters, and adversarial training.

Features:

• Neural MT with seq2seq, biLSTM+attention, and Transformer architectures
• Parameter sharing across encoders/decoders and embeddings for multiple languages
• Denoising auto-encoder training and back-translation with on-the-fly generation
• Utilities to download, tokenize, BPE, and binarize large monolingual corpora
• Cross-lingual embeddings via fastText or alignment methods to initialize models
• Unsupervised PBSMT pipeline with automated Moses training and evaluation

Programming Language: Python, Unix Shell.
Categories: