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Neural Machine Translation for Sumerian and English

Python 87.97% Shell 3.91% Perl 4.95% Smalltalk 0.26% Emacs Lisp 2.31% JavaScript 0.11% NewLisp 0.21% Ruby 0.22% Slash 0.04% SystemVerilog 0.02%
deep-learning english-sumerian neural-machine-translation opennmt

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barionleg

machine-translation's Issues

consolidate evaluation (=https://github.com/cdli-gh/Semi-Supervised-NMT-for-Sumerian-English/issues/17)

At the moment, every MTAAC/CDLI MT system is independently evaluated, so that it is impossible to track progress.

e.g., Rachit's (2020) "mu usz-bar x 2(disz) tug2 usz-bar tur" seems to correspond to two independent (!) lines in Ravneet's (2019) system:

544,mu ucbar X
542, NUMB tug ucbar tur sumun

But it's likely that these are actually completely different texts (and that there is no overlap for the phrase "ucbar tur" / "usz-bar tur" in their data), because "sumun" is not in Rachit's text, and then, the systems are just incomparable.

Establish a consistent train/test set and replicate.

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