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6.0.5 (October 23, 2015)
========================
- KenLM updated, includes vastly improved cmake-based build
- Fix for grammar packing that previously limited the size of grammars (esp. Hiero)
- Support for packing and decoding with multiple packed grammars (if packed together)
- Feature functions now report dense features, for more efficient handling
- Added AdaGrad and internal MIRA
- Pipeline:
- Alignment of different chunks now parallelized
- Computes meteor scores if $METEOR is defined
- Updated to use Hadoop 2.5.2
- Reworked how multiple tuning runs (for optimizer instability) function
- Maven compatibility
- Developers
- Ant eclipse target
- Added code formatting spec for Eclipse import
- Many bugfixes and other improvements
6.0.4 (June 15, 2015)
=====================
- Local MIRA implementation (now the default for the pipeline; Moses' kbmira available
with '--tuner kbmira')
- PRO tuning implementation restored
- Alignment in pipeline parallelized across chunks (up to --threads)
- Better integration for class-based LMs
- Bugfixes in pipeline script and elsewhere
- Logic for KenLM/lmplz boost compile improved
6.0.3 (June 1, 2015)
====================
- New, more versatile run bundler for creating language packs
- Restructuring of the pipeline. Now uses the run bundler to build models
for tuning and testing, and no longer directly supports multiple optimizer
runs
- Split out ZMERT / PRO tuning script into run_zmert.py, to facilitate
running ZMERT independently
- Fix to ivy (dependency download tool) for offline and cached downloads
- Other bug fixes and changes
6.0.2 (April 10, 2015)
======================
- Restored compatibility with Moses 3.0 tuning regime (tuning with kbmira
now requires Moses 3.0)
- Sparse feature support in grammar file, which enables compatibility with
PPDB grammars (paraphrase.org)
- Bugfixes and other minor improvements
6.0.1 (March 6, 2015)
=====================
Bugfixes:
- Maximum phrase length was off by one (short)
Improvements
- **Phrase-table packing for Moses grammars**
- BerkeleyLM now detects compressed files automatically
- output-format now respected when top-n = 0 (with a subset of variables)
- key + value format for specifying TMs
- Better error messages and other minor improvements
6.0 (February 4, 2015)
======================
Joshua 6.0 introduces many extensions and improvements. They include:
- Phrase-based decoder
Joshua now includes an unlexicalized phrase-based decoder. It reads
Moses phrase tables directly. Support for training phrase-based
models is included in the pipeline (via callouts to Moses)
- Significant speed improvements
Joshua is a lot faster (TODO: quantify). The phrase-based decoder is
on roughly par with Moses in terms of decoding speed: slower for
small beam sizes and faster for larger (above 200). GHKM decoding is
significantly faster as a result of the dot chart removal due to
Sennrich (2014).
- Numerous bugfixes and other improvements
Dynamic lattice-based OOV segmenting, improved progress meters and
verbose output handling, support for alignments in phrase table,
latest KenLM (including lmplz)
5.0 (August 16, 2013)
===================
The main features of this release are described in
"Joshua 5.0: Sparser, Better, Faster, Server"
Matt Post, Juri Ganitkevitch, Luke Orland, Jonny Weese, Yuan Cao, and Chris Callison-Burch.
ACL Workshop on Statistical Machine Translation. August, 2013.
www.statmt.org/wmt13/pdf/WMT26.pdf
- Sparse feature implementation
Joshua now uses sparse features natively, with support for (hundreds of) thousands of
features and large-scale discriminative tuning via PRO (included) or kbMIRA (via Moses).
- Significant performance improvements
Joshua is up to 6 times faster than the previous release. It scales to many threads
easily, and the packed grammar and amortized sorting virtually remove model loading times.
- Added left-state LM minimization support (via KenLM)
Tests show that Joshua has parity with Moses in terms of speed and search.
- Thrax 2.0
Thrax 2.0 is significantly faster, uses less disk space, and has been tested on corpora
of one hundred million sentence pairs.
- Server
Joshua now includes a multithreaded TCP/IP server with round-robin scheduling among
connections.
- Many, may bugfixes
4.0 (July 2, 2012)
==================
The main features of this release are described in
"Joshua 4.0: Packing, PRO, and Paraphrasing."
Juri Ganitkevitch, Yuan Cao, Jonny Weese, Matt Post, and Chris Callison-Burch.
NAACL Workshop on Statistical Machine Translation, June, 2012.
They include:
- Significantly improved and expanded documentation (both user and developer)
See http://joshua-decoder.org/4.0 or ./joshua-decoder.org/4.0/index.html (local mirror)
- Synchronous parsing
Joshua will compute the best synchronous derivation over a pair of
sentences. Pass the sentences in in the form
source sentence ||| target sentence
and set the parameter "parse = true" (either from the config file or
command-line).
- PRO implementation
We include an implementation of Pairwise Ranking Optimization (PRO,
Hopkins & May, EMNLP 2011). It can be activated by passing "--tuner
pro" to the pipeline script.
- Grammar packing
We include an efficient grammar representation that can be used to
greatly reduce the memory footprint of large grammars.
- Numerous bugfixes
== 3.2 (February 17, 2012) ======================================
- Pop-limit pruning.
Pruning can now be specified with a single parameter "pop-limit"
parameter, which limits the number of pops from the cube pruning
candidate list at the span level. This replaces the beam and
threshold pruning that was governed by four parameters (fuzz1,
fuzz2, relative_threshold, and max_n_rules), whose performance and
interaction was somewhat difficult to characterize. The pop-limit
allows a simple relationship between decoding time and model score
to be defined.
Setting "pop-limit" in the configuration file or from the command
line turns off beam-and-threshold pruning, and its use is
recommended. The default setting is to use a pop-limit of 100.
- Multiple language model support
You can now specify an arbitrary number of language models. See the
documentation in
$JOSHUA/scripts/training/templates/mert/joshua.config
for information on how to do this. You can also specify multiple
--lmfile flags to the pipeline.pl script.
- Multiple optimizer + test runs (--optimizer-runs N), averaging the
results at the end (Clark et al., ACL 2011)
- Added support for BerkeleyLM (Pauls and Klein, ACL 2011)
- Support for lattice decoding (thanks to Lane Schwartz and the
miniSCALE 2012 team)
- Pipeline script:
- Removed all external dependencies (e.g., Moses, SRILM)
- Reorganized the training data
- Permit multiple test runs with subsequent --test FILE --name NAME
calls to the pipeline
- GIZA++ runs are parallelized if more than one thread is permitted
(--threads N, N >=2 )
- Numerous bugfixes
- Hadoop cluster rollout is now a single instance (slower but
doesn't require error-prone server setup)
- Parameters
- Joshua now dies if it encounters unknown parameters on the command
line or config file
- Parameters are now normalized to remove hyphens (-) and
underscores (_) and to flatten case, permitting you to specify any
of, for example, {pop-limit, popLimit, pop_limit, ...}
- Lots of reorganization and purging of old code
3.1
=============================
- Fixed multithreading. Use -threads N from the command line or
configuration file to spawn N parallel decoding threads.
- Configuration file parameters can now be overridden from the command
line. The format is
-parameter value
Among these must be the configuration file itself, which can be
referred to with -config, or -c for short.
3.0
===
- Added the highly parameterizable Hadoop-based Thrax grammar
extractor, which extracts both Hiero and SAMT grammars.
- Incorporated a black-box pipeline script at
$JOSHUA/scripts/training/pipeline.pl
- Moved development to github.com.
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