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UD_Old_French-SRCMF is a conversion of (part of) the SRCMF corpus (Syntactic Reference Corpus of Medieval French


UD_Old_French-SRCMF consists in 10 texts spanning from 9th to 13th century. It includes 17678 sentences and 170 741 tokens.

Sentences are annotated with the following metadata:

  • sent_id : a unique id for each sentence in the treebank
  • text : the sentence
  • newdoc id : a unique id for each of the texts. This id can be split on underscores to get back :
    • name of the text
    • date
    • form : verse and/or prose

The following table lists the texts used in this treebank :

ID Author Name of the text Number of tokens
Strasbourg_842_prose anonymous Serments de Strasbourg 115
StLegier_1000_verse anonymous Vie de saint Léger 1,388
StAlexis_1050_verse anonymous Vie de saint Alexis 4,750
Roland_1100_verse anonymous Chanson de Roland 28,752
Lapidaire_mid12_prose anonymous Lapidaire en prose 4,708
QuatreLivresReis_late12_prose anonymous Quatre livres des reis 12,949
BeroulTristan_late12_verse Beroul, Tristan Tristan de Beroul 26,766
TroyesYvain_1180_verse Chrestien de Troyes, Yvain Yvain de Chretien de Troyes 41,256
Aucassin_early13_verse-prose anonymous Aucassin et Nicolet 9,838
Graal_1225_prose anonymous Queste del Saint Graal 40,219


The corpus results from a conversion from the SRCMF corpus.

In the SRCMF projet, texts with less than about 40,000 words were entirely annotated, while texts with more than 40,000 words were sampled in three parts (beginning, middle and end of the text) to reach a total amount of about 40000 words.

As a result, UD_Old_French-SRCMF includes 8 full texts (Strasbourg, StLegier, StAlexis, Roland, Lapidaire, BeroulTristan, TroyesYvain, Aucassin) and 2 sampled ones (QuatreLivresReis and Graal).

The treebank is split as follows (in number of tokens) :

ID Train Test Dev
Strasbourg_842_prose 115 0 0
StLegier_1000_verse 1388 0 0
StAlexis_1050_verse 4750 0 0
Roland_1100_verse 18752 4999 5001
Lapidaire_mid12_prose 0 2361 2347
QuatreLivresReis_late12_prose 12949 0 0
BeroulTristan_late12_verse 16748 5001 5017
TroyesYvain_1180_verse 41256 0 0
Aucassin_early13_verse-prose 9838 0 0
Graal_1225_prose 30225 4997 4997
Total 136021 17358 17362

It is to be noticed that most of Dev and Test data is taken from texts that also exist in Training data, but these are large texts, so it does not make the testing too easy… One text (Lapidaire) is represented only in Dev/Test but not in train. Pre-1100 texts are only in Train, because they seem too small to reserve anything for testing. The rest of the data (136 021 /170 741 tokens) is for Train corpus.

Deviations from UD

We added some more specific relations (subtypes), either to specify a relation, or in the case of tokens entering a double dependency relation (typically : relative pronouns and contracted forms) :

  • acl:relcl : relative clause
  • advmod:obl : contracted advmod + obl (eg. sin = si + en)
  • aux:pass : passive auxiliary
  • case:det : contracted case + det (eg. del = de + le)
  • cc:nc : non coordinating conjunction (eg. et at the beginning of a sentence)
  • mark:advmod : mark and advmod (eg. coment at the beginning of a subordinate clause)
  • mark:obj : mark and obj (eg. relative pronoun que)
  • mark:obl : mark and obl (eg. relative pronoun cui / qui )
  • nmod:appos
  • nsubj:advmod : contracted nsubj + advmod (eg. jon = jo + en)
  • nsubj:obj : contracted nsubj + obj (eg. quil = qui + le)
  • obj:advmod : contracted advmod + obj (eg. sis = si + les)
  • obj:advneg : contracted negation + obj (eg. nes = ne + les)
  • obj:obl : contracted obl + obj (eg. oul = ou + le)
  • obl:advmod : the double labelling accounts for the difficulty to decide between obl and advmod relations (en and i).
  • obl:mod

We added some features:

  • Morph=VFin : finite verb
  • Morph=VInf : non finite verb
  • Morph=VPar : verbal participle
  • Polarity=Int : interrogative
  • PronType=Ord : numeral

Consult the language specific documentation for further details.


UD_Old_French-SRCMF results from the conversion of (part of) the SRCMF corpus (Syntactic Reference Corpus of Medieval French

The SRCMF corpus results from the SRCMF project which took place in 2008-2012, funded by the ANR (France) and the DFG (Germany), and supervised by Sophie Prévost and Achim Stein.

The SRCMF project consisted in the manual syntactic annotation of 15 texts (251,000 tokens) from the 9th to 13th C. Part-of-speech tags were for most of them retrieved from the already existing tagging of the texts (stemming from: Base de Français Medieval, Lyon, ENS de Lyon, IHRIM Laboratory, and the Nouveau Corpus d'Amsterdam

The contributors to the SRCMF project were: Stein, Achim; Prévost, Sophie; Rainsford, Tom; Mazziotta, Nicolas; Bischoff Béatrice; Glikman, Julie; Lavrentiev, Alexei; Heiden, Serge; Guillot-Barbance, Céline; Marchello-Nizia, Christiane.

The whole SRCMF corpus (251,000 tokens) was converted into UD dependencies, but only 172,000 tokens have so far undergone a significant checking: the remaining 80,000 tokens will be added to UD_Old_French-SRCMF in a future release.

The conversion from the original SRCMF annotation to the SRCMF-UD annotation was done automatically both for the POS and the syntactic relations, thanks to a set of elaborated rules. Some 1,200 syntactic relations left unlabelled were then manually annotated (Sophie Prévost), and significant spot-checking occurred, focusing on potential difficulties (eg. conj relation).

This conversion was achieved by Aurélie Collomb, in the frame of a internship funded by lab Lattice (Paris, CNRS, ENS & Université Sorbonne Nouvelle Paris 3, PSL & USPC), and supervised by Sophie Prévost, Isabelle Tellier and Kim Gerdes. Marine Courtin achieved the deposit of the files, and especially took in charge the validation of the corpus through the successive steps of the process.

A significant review of this initial release has been done on the occasion of the UD 2.6 release by Loïc Grobol and Sophie Prévost in the frame of the ANR PROFITEROLE project in order to improve the compliance of the corpus to UD guidelines. This includes both automatic corrections using the graph rewriting system GREW (Bonfante et al., 2018) and extensive manual corrections.



  • 2020-05-15 v2.6
    • Significant bugfix release (more than 9k changed tokens)
  • 2018-04-15 v2.2
    • Initial release
=== Machine-readable metadata (DO NOT REMOVE!) ================================
Data available since: UD v2.2
License: CC BY-NC-SA 3.0
Includes text: yes
Genre: nonfiction legal poetry
Lemmas: not available
UPOS: converted with corrections
XPOS: manual native
Features: automatic
Relations: automatic with corrections
Contributors: Prévost, Sophie; Collomb, Aurélie; Gerdes, Kim; Tellier, Isabelle; Courtin, Marine; Lavrentiev, Alexei; Guillot-Barbance, Céline; Grobol, Loïc
Contributing: here source