Release Report - https://s.apache.org/joshua6.1
Sub-task
[JOSHUA-301] - Add findbugs plugin to maven build
Bug
[JOSHUA-22] - Parallelize MBR computation [JOSHUA-71] - OS X installation depends on coreutils to run thrax test [JOSHUA-95] - Vocabulary locking [JOSHUA-107] - Verbosity levels [JOSHUA-172] - Speed up grammar file reading with memory-mapped files [JOSHUA-239] - Dependency addition to Joshua-Decoder/Joshua/pom.xml [JOSHUA-259] - Integration tests are failing [JOSHUA-268] - Phrase-based model error (NullPointerException) [JOSHUA-271] - Thrax invocation should not reply upon $HADOOP being set [JOSHUA-276] - Trivial fixes to 1.8 Javadoc [JOSHUA-278] - Alignments printed incorrectly for phrase-based decoder [JOSHUA-279] - Cannot build Joshua master branch [JOSHUA-280] - Existing Language packs not compatible with Joshua master [JOSHUA-281] - split2files.pl support script no longer exists hence pipeline fails [JOSHUA-282] - %S output format doesn't remove <s> [JOSHUA-284] - Phrase-based decoding changes [JOSHUA-285] - Not all RuntimeExceptions are caught [JOSHUA-287] - KenLM.java catches UnsatisfiedLinkError when attempting to load libken.so (libken.dylib on OSX) [JOSHUA-299] - Move regression tests to proper unit tests [JOSHUA-304] - word-align.conf alignment template file not compatible with berkeley aligner [JOSHUA-305] - joshua-6.1-SNAPSHOT-source-release.zip takes ages to build [JOSHUA-319] - test-decode decoder_command results in java.lang.NumberFormatException: For input string: "MAXSPAN" [JOSHUA-321] - Add JOSHUA env to ./bin/bleu and ./bin/extract-1best bash scripts [JOSHUA-322] - extract-1best script references non-existent execution paths
Improvement
[JOSHUA-252] - Make it possible to use Maven to build Joshua [JOSHUA-256] - Note that Joshua builds and runs with >= Java 1.8 [JOSHUA-262] - Implement all logging as Slf4j over Log4j [JOSHUA-269] - Fix Javadoc in JOSHUA-252 branch to comply with JDK1.8 Spec [JOSHUA-272] - Simplify the packing and usage of phrase-based grammars [JOSHUA-286] - Remove presence of all joshua-decoder.org links in codebase [JOSHUA-291] - Improve code quality via static analysis [JOSHUA-296] - Refactor threading code [JOSHUA-309] - Update CHANGELOG [JOSHUA-312] - Even though alignment is cached, it is always re-done in pipeline re-execution
New Feature
[JOSHUA-100] - Add Shen et al. (2008) dependency LM
Task
[JOSHUA-248] - Add Apache License headers to Joshua code [JOSHUA-249] - Joshua Logo [JOSHUA-251] - Address Website Branding Issues [JOSHUA-254] - Update README with correct branding [JOSHUA-255] - License headers for all bash scripts [JOSHUA-257] - Add license headers to all Python scripts [JOSHUA-258] - Add back penn-treebank-(de)tokenizer perl scripts [JOSHUA-261] - Remove ext directory from source tree [JOSHUA-297] - List supported versions of Hadoop [JOSHUA-323] - Joshua 6.1 Release Management
Test
[JOSHUA-253] - Enable execution of Unit tests
Bugfixes:
Improvements
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)
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
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
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.
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.