@article {6632,
	title = {Jean does the dishes while Marie fixes the car: a qualitative and quantitative study of social gender in French syntax articles},
	journal = {Journal of French Language Studies},
	volume = {30},
	year = {2020},
	pages = {47{\textendash}72},
	author = {Richy, C{\'e}lia and Heather Burnett}
}
@article {4789,
	title = {Joint predictiveness in inflectional paradigms},
	journal = {Word Structure},
	volume = {9},
	year = {2016},
	pages = {156-182},
	abstract = {<p>This paper contributes to addressing the Paradigm Cell Filling Problem (PCFP) in inflectional paradigms, as defined by <a class="ref showRefEvent" href="http://www.euppublishing.com/doi/full/10.3366/word.2016.0092$\#$">Ackerman et al. (2009)</a>. We define a method for extending the use of conditional entropy to address the PCFP to prediction based on multiple paradigm cells. We apply this method to French and European Portugese and show that, on average, knowledge of multiple paradigm cells is dramatically more predictive than knowledge of a single cell. Moreover, this new entropy measure proves useful in studying principal parts systems, which correspond to sets of predictors yielding a null entropy. Using a graded measure allows us to highlight the relevance of non-categorical or \&ldquo;good enough\&rdquo; principal parts systems.</p>
},
	doi = {10.3366/word.2016.0092},
	url = {http://dx.doi.org/10.3366/word.2016.0092},
	author = {Olivier Bonami and Sacha Beniamine},
	editor = {Farrell Ackerman and Malouf, Robert}
}
@inproceedings {stern:hal-00699295,
	title = {{A Joint Named Entity Recognition and Entity Linking System}},
	year = {2012},
	pages = {{\textendash}},
	address = {Avignon, France},
	keywords = {entity linking, statistical NER, symbolic NER},
	url = {https://hal.archives-ouvertes.fr/hal-00699295},
	author = {Stern, Rosa and Beno{\^\i}t Sagot and B{\'e}chet, Fr{\'e}d{\'e}ric}
}
@book {5105,
	title = {Journal of French Language Studies 21/1 (Special Issue on French Prosody)},
	series = {Journal of French Language Studies},
	volume = {21/1},
	year = {2011},
	publisher = {Cambridge University Press},
	organization = {Cambridge University Press},
	author = {Mathieu Avanzi and {\'E}lisabeth Delais-Roussarie}
}
