v1.1

• simplelendfs decoder
• lenbeam decoder
• osm_use_* options for OSM variants
• forced_spurious option for spurious words in forced decoding
• Uniform vocabulary specification for maskvocab and skipvocab wrappers
• minor bug fixes

v1.0

• Update to Python 3
• Update to TF 1.13.1 and T2T 1.13.4
• Support for fairseq (PyTorch)
• Support for "openfst-python" (3rd party python package for exposing OpenFST in Python 3)
• python $SGNMT/decode.py --run_diagnostics to check which external libraries SGNMT is aware of
• Drop support for NPLM, SRILM, Blocks/Theano, TensorFlow seq2seq tutorial, bowsearch, vanilla decoders
• Add (optional) support for BPE segmentation and word maps
• Improved interactive mode
• scripts directory
• New decoders: fstbeam, predlimitbeam, simpledfs

v0.6

• State-dependent Bayesian Interpolation and per-sentence predictor weighting
• New t2t predictor variants: editt2t, fertt2t, segt2t
• New predictor wrappers: rank, glue, maskvocab
• New options: n_cpu_threads, negative_wc, osm_type=srcosm, interpolation_smoothing
• Allow empty src_idxmap or trg_idxmap
• Allow placheholders like %04d in path templates
• Minor bugfixes

v0.5.1

• Change default --beam to 4 and --indexing_scheme to t2t (consistency with tensor2tensor as default)
• Support direct paths to T2T checkpoint files
• New option osm_type
• Drop legacy support for en_test, fr_test, en_idxmap, fr_idxmap
• Minor bugfixes
• Tested with TensorFlow 1.10 and T2T 1.9

v0.5

• Compatibility with TensorFlow 1.9 and Tensor2Tensor 1.7.0
• kenlm predictor

v0.4.2

• Some minor bug fixes in v0.4.1

v0.4.1

• Target side syntax for NMT

v0.4

• Sentence IDs can now be read from a file for improved distributed decoding
• Improvements for forcedlst and lexnizza predictors
• New script extract_scores_along_reference.py
• Introduce interpolation strategies, support MoE interpolation
• New output formats: ngram, timecsv
• New decoders: combibeam, mbrbeam
• New predictors: osm, forcedosm
• Remove support for multiple input files (use altsrc) and reset() in the predictor interface

v0.3.2

• Compatibility with T2T 1.3.1
• Support for nizza alignment models
• ngramize predictor wrapper
• syntaxbeam decoder
• some usability improvements

v0.3.1

• skipvocab predictor
• bracket predictor
• Refactoring of the decoder API
• Compatibility with T2T 1.2.9 and TensorFlow 1.4