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README.md
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1. LIA, Avignon University, Avignon, France.
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2. LS2N, Nantes University, Nantes, France.
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# French Part-Of-Speech (POS) Tagging
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- Corpus: [UD_FRENCH_TREEBANKS](https://universaldependencies.org/treebanks/fr_gsd/index.html)
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- Model: [Flair](https://www.aclweb.org/anthology/C18-1139.pdf)
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Washington <PROPN>
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```
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## Corpora
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`UD_FRENCH_GSD_PLUS` is a part-of-speech tagging corpora based on [UD_French-GSD](https://universaldependencies.org/treebanks/fr_gsd/index.html) which was originally created in 2015 and is based on the [universal dependency treebank v2.0](https://github.com/ryanmcd/uni-dep-tb).
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Originally, the corpora consists of 400,399 words (16,341 sentences) and had 17 different classes. Now, after applying our tags augmentation we
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## Original Tags
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| PPOBJMP | Plurial Masculine Pronoun complements of objects | eux y |
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| PPOBJFS | Singular Feminine Pronoun complements of objects | moi la |
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| PPOBJFP | Plurial Feminine Pronoun complements of objects | en y |
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| PPER1S | Personal Pronoun
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| PPER2S | Personal Pronoun
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| PPER3MS | Personal Pronoun
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| PPER3MP | Personal Pronoun
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| PPER3FS | Personal Pronoun
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| PPER3FP | Personal Pronoun
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| PREFS | Reflexive Pronouns First Person of Singular | me m' |
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| PREF | Reflexive Pronouns Third Person of Singular | se s' |
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| PREFP | Reflexive Pronouns First / Second Person of Plurial | nous vous |
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1. LIA, Avignon University, Avignon, France.
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2. LS2N, Nantes University, Nantes, France.
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# Extended French Part-Of-Speech (POS) Tagging
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- Corpus: [UD_FRENCH_TREEBANKS](https://universaldependencies.org/treebanks/fr_gsd/index.html)
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- Model: [Flair](https://www.aclweb.org/anthology/C18-1139.pdf)
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Washington <PROPN>
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```
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## Corpora
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`UD_FRENCH_GSD_PLUS` is a part-of-speech tagging corpora based on [UD_French-GSD](https://universaldependencies.org/treebanks/fr_gsd/index.html) which was originally created in 2015 and is based on the [universal dependency treebank v2.0](https://github.com/ryanmcd/uni-dep-tb).
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Originally, the corpora consists of 400,399 words (16,341 sentences) and had 17 different classes. Now, after applying our tags augmentation we obtain 60 different classes which add semantic information such as the gender, number, mood, person, tense or verb form.
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## Original Tags
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| PPOBJMP | Plurial Masculine Pronoun complements of objects | eux y |
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| PPOBJFS | Singular Feminine Pronoun complements of objects | moi la |
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| PPOBJFP | Plurial Feminine Pronoun complements of objects | en y |
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| PPER1S | Personal Pronoun First Person Singular | je |
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| PPER2S | Personal Pronoun Second Person Singular | tu |
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| PPER3MS | Personal Pronoun Third Person Masculine Singular | il |
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| PPER3MP | Personal Pronoun Third Person Masculine Plurial | ils |
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| PPER3FS | Personal Pronoun Third Person Feminine Singular | elle |
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| PPER3FP | Personal Pronoun Third Person Feminine Plurial | elles |
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| PREFS | Reflexive Pronouns First Person of Singular | me m' |
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| PREF | Reflexive Pronouns Third Person of Singular | se s' |
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| PREFP | Reflexive Pronouns First / Second Person of Plurial | nous vous |
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