====== Project outcomes ======

The goal of our project is to develop linguistic resources (lexicons, corpora, annotation guidelines) and software (parsers, MWE identifiers and linkers). Some of them are currently under development and will be published here when they are ready.

===== Software =====

==== MWE identification software ====

Tools which annotate multiword expressions automatically in running text, developed within the project or in close collaboration with PARSEME-FR project members.

   * [[https://github.com/hazemalsaied/IdenSys|ATILF-LLF system]] ("Transition" in shared task 2017)
   * [[https://gitlab.com/cpasquer/SharedTask2018_varIDE|VarIDE]]
   * [[https://github.com/zamp13/Veyn|Veyn]]
   * [[http://igm.univ-mlv.fr/~mconstan/index.php?section=software|LGTagger]]
   * [[http://mwetoolkit.sourceforge.net/|mwetoolkit]]
   * [[https://gitlab.com/cpasquer/st_2020|Seen2Seen et Seen2Unseen]] (cf. PARSEME shared task 1.2)

Some of these tools can be tested online on the PARSEME-FR [[https://mwedemonstrator.atilf.fr/|demonstrator]]

==== Other software ====

   * [[https://mwedemonstrator.atilf.fr/|Demonstrator]] of MWE identifiers and a corpus-lexicon browser
   * On-line PARSEME-FR corpus browser on [[http://match.grew.fr/?corpus=PARSEME-FR@1.2|Grew-match]]
   * [[https://gitlab.com/parseme/utilities/|PARSEME shared task utilities]]
   
===== Language resources and datasets =====

==== Verbal MWE-annotated corpora of the PARSEME shared tasks ====

The datasets of the PARSEME shared task contain 18-20 languages, including French, and can be downloaded from:

   * Corpus edition 1.0 (2017) on [[http://hdl.handle.net/11372/LRT-2282|LINDAT/CLARIN]]. The French dataset was used in the [[http://multiword.sourceforge.net/sharedtask2017/|PARSEME Shared Task on identification of verbal multiword expressions]] (edition 1.0, 2017). [[https://www.ortolang.fr/market/corpora/parseme-fr|You can also download the French data only from the ORTOLANG platform]]. 
   * Corpus edition 1.1 (2018) on [[http://hdl.handle.net/11372/LRT-2842|LINDAT/CLARIN]]. The French dataset was used in the [[http://multiword.sourceforge.net/sharedtask2018/|PARSEME Shared Task on identification of verbal multiword expressions]] (edition 1.1, 2018).
   * Corpus edition 1.2 (2020) on [[https://gitlab.com/parseme/sharedtask-data/tree/master/1.2|gitlab (temporary)]]. The French dataset was used in the [[http://multiword.sourceforge.net/sharedtask2020/|PARSEME Shared Task on identification of verbal multiword expressions]] (edition 1.2, 2020).
   * [[http://parsemefr.lif.univ-mrs.fr/parseme-st-guidelines/|Annotation guidelines]]


==== Full-MWE annotated Sequoia treebank ====

   * Released on [[http://hdl.handle.net/11234/1-3429|LINDAT/CLARIN]] as part of the [[https://deep-sequoia.inria.fr/|Deep sequoia corpus]]
   * [[https://gitlab.lis-lab.fr/PARSEME-FR/PARSEME-FR-public/wikis/Guide-annotation-PARSEME_FR-chapeau|Annotation guidelines]]

==== MWE and coreference corpus ====

   * [[https://github.com/anaelle-p/MWE_coref|French corpus]] annotated both for MWEs and for coreference - data, annotation tools, manual validation results, statistics and reports.

==== Manually annotated web sample ====

   * [[https://gitlab.com/cpasquer/websample|4618 sentences]] with positive and negative examples of 90 selected verbal MWEs in French. The sentences stem from Wikipedia and webcrawling and were taken from the [[http://hdl.handle.net/11234/1-1989|CoNLL shared task corpus]].
   * [[https://arxiv.org/pdf/2007.11381.pdf|Paper]] describing the construction of this dataset

==== Multilingual corpus of literal occurrences of multiword expressions ====

   * [[http://hdl.handle.net/11372/LRT-2966|Corpus]] in Basque, German, Greek, Polish and Portuguese 
   * [[https://ufal.mff.cuni.cz/pbml/112/art-savary-et-al.pdf|Paper]] describing the construction and study of the corpus

==== French metagrammar with verbal MWEs ====
   * [[https://gitlab.com/agata.savary/mwe-xmg/|FrenchTAG metagrammar]] with encoded verbal MWEs
   * [[https://lexique.univ-lille.fr/object-oriented-lexical-encoding-of-multiword-expressions-short-and-sweet.html|Paper]] describing the encoding process and the evaluation


==== Project-internal resources ====

   * For project members: [[https://gitlab.lif.univ-mrs.fr/PARSEME-FR/PARSEME-FR|PARSEME-FR GitLab]]