Informal Persian Universal Dependency Treebank

Related tags

Deep LearningiPerUDT
Overview

Informal Persian Universal Dependency Treebank (iPerUDT)

Informal Persian Universal Dependency Treebank, consisting of 3000 sentences and 54,904 tokens, is an open source collection of colloquial informal texts from Persian blogs. The corpus is annotated in CoNLL-U format within the Universal Dependencies scheme (Nivre et al., 2020).

The following Course-grained Universal Dependencies parts of speech tags (UPOS), and fine-grained language-specific parts of speech tags (XPOS) are used in this treebank.

UPOS XPOS Description
ADJ ADJ Adjective
ADJ ADJ_CMPR Comparative adjective
ADJ ADJ_SUP Superlative adjective
ADV ADV Adverb
ADV ADV_I Adverb of interrogation
ADV ADV_LOC Adverb of location
ADV ADV_NEG Adverb of Negation
ADV ADV_TIME Adverb of time
ADP P Preposition
AUX V_AUX Auxiliary/copula verb
CCONJ CON Coordinating conjunction
DET DET Determiner
INTJ INTJ Interjection
NOUN N_PL Plural noun
NOUN N_SING Singular noun
NUM NUM Numeral
PART PART Differential object marker, focus marker, negative particle, question particle
PRON PRO Pronoun
PROPN PROPN Proper nouns (persons,locations, months, organizations, geopolitical entities)
PUNCT DELM Punctuation/delimiter
SCONJ CON Subordinating conjunction
VERB V_IMP Imperative verb
VERB V_PA Past tense verb
VERB V_PP Past participle
VERB V_PRS Present tense verb
VERB V_SUB subjunctive verb
X FW Foreign word

We used the Universal Dependencies annotation scheme which produces syntactic analyses of sentences in terms of the dependency structures of dependency grammar, determined by the relation between a head and its dependents. The syntactic annotation consists of 42 dependency relations, including 32 universal and 10 language-specific relations (marked by *).

Dependency relation Description
acl Clausal modifier of noun
acl:relcl* relative clause modifier
advcl Adverbial clause modifier
advmod Adverbial modifier
amod Adjectival modifier
appos Appositional modifier
aux Auxiliary
aux:pass Passive auxiliary
case Accusative marker/case marking
cc Coordination
cc:preconj* Preconjunction
ccomp Clausal complement
compound Compound
compound:lvc* Nominal/adjectival NVE in complex predicates
compound:prt* Particle NVE in complex predicates
compound:redup* Reduplicative words
compound:svc* Serial verb constructions
conj Conjunct
Cop Copula
det Determiner
det:predet* Predeterminer
discourse Discourse element
discourse:top/foc* Topic/focus marker
dislocated Dislocated elements
fixed Fixed multiword expressions
flat Flat multiword expressions
goeswith Goes with for poorly-edited words
nmod Nominal modifier
nmod:poss* Possessive/genitive modifier
nsubj Nominal subject
nsubj:pass Passive nominal subject
nummod Numeric modifier
mark Complementizer/marker
obj Object
obl Oblique
obl:arg* Oblique core argument
orphan Ellipsis constructions
parataxis Parataxis
punct Punctuation
root Root
vocative Vocative
xcomp Open clausal complement

References

Nivre, Joakim, Marie-Catherine de Marneffe, Filip Ginter, Jan Hajič, Christopher D. Manning, Sampo Pyysalo, Sebastian Schuster, Francis M. Tyers, and Dan Zeman. (2020). Universal dependencies v2: An evergrowing multilingual treebank collection. In Proceedings of the 12th Conference on Language Resources and Evaluation (LREC), 4027–4036.

Owner
Roya Kabiri
Computational Linguist
Roya Kabiri
A very short and easy implementation of Quantile Regression DQN

Quantile Regression DQN Quantile Regression DQN a Minimal Working Example, Distributional Reinforcement Learning with Quantile Regression (https://arx

Arsenii Senya Ashukha 80 Sep 17, 2022
python 93% acc. CNN Dogs Vs Cats ( Pytorch )

English | 简体中文(测试中...敬请期待) Cnn-Classification-Dog-Vs-Cat 猫狗辨别 (pytorch版本) CNN Resnet18 的猫狗分类器,基于ResNet及其变体网路系列,对于一般的图像识别任务表现优异,模型精准度高达93%(小型样本)。 项目制作于

apple ye 1 May 22, 2022
PyMove is a Python library to simplify queries and visualization of trajectories and other spatial-temporal data

Use PyMove and go much further Information Package Status License Python Version Platforms Build Status PyPi version PyPi Downloads Conda version Cond

Insight Data Science Lab 64 Nov 15, 2022
Variational autoencoder for anime face reconstruction

VAE animeface Variational autoencoder for anime face reconstruction Introduction This repository is an exploratory example to train a variational auto

Minzhe Zhang 2 Dec 11, 2021
Point Cloud Denoising input segmentation output raw point-cloud valid/clear fog rain de-noised Abstract Lidar sensors are frequently used in environme

Point Cloud Denoising input segmentation output raw point-cloud valid/clear fog rain de-noised Abstract Lidar sensors are frequently used in environme

75 Nov 24, 2022
Code for "NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video", CVPR 2021 oral

NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video Project Page | Paper NeuralRecon: Real-Time Coherent 3D Reconstruction from Mon

ZJU3DV 1.4k Dec 30, 2022
Some bravo or inspiring research works on the topic of curriculum learning.

Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GAN Official code for NeurIPS 2021 paper "Towards Scalable Unpaired Virtu

131 Jan 07, 2023
Official PyTorch implementation of Joint Object Detection and Multi-Object Tracking with Graph Neural Networks

This is the official PyTorch implementation of our paper: "Joint Object Detection and Multi-Object Tracking with Graph Neural Networks". Our project website and video demos are here.

Richard Wang 443 Dec 06, 2022
Doing fast searching of nearest neighbors in high dimensional spaces is an increasingly important problem

Benchmarking nearest neighbors Doing fast searching of nearest neighbors in high dimensional spaces is an increasingly important problem, but so far t

Erik Bernhardsson 3.2k Jan 03, 2023
Python scripts form performing stereo depth estimation using the CoEx model in ONNX.

ONNX-CoEx-Stereo-Depth-estimation Python scripts form performing stereo depth estimation using the CoEx model in ONNX. Stereo depth estimation on the

Ibai Gorordo 8 Dec 29, 2022
PINN(s): Physics-Informed Neural Network(s) for von Karman vortex street

PINN(s): Physics-Informed Neural Network(s) for von Karman vortex street This is

ShotaDEGUCHI 2 Apr 18, 2022
Mscp jamf - Build compliance in jamf

mscp_jamf Build compliance in Jamf. This will build the following xml pieces to

Bob Gendler 3 Jul 25, 2022
Organseg dags - The repository contains the codebase for multi-organ segmentation with directed acyclic graphs (DAGs) in CT.

Organseg dags - The repository contains the codebase for multi-organ segmentation with directed acyclic graphs (DAGs) in CT.

yzf 1 Jun 12, 2022
Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

Amazon Forest Computer Vision Satellite Image tagging code using PyTorch / Keras Here is a sample of images we had to work with Source: https://www.ka

Mamy Ratsimbazafy 359 Jan 05, 2023
Multi-angle c(q)uestion answering

Macaw Introduction Macaw (Multi-angle c(q)uestion answering) is a ready-to-use model capable of general question answering, showing robustness outside

AI2 430 Jan 04, 2023
[NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators"

G-PATE This is the official code base for our NeurIPS 2021 paper: "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of T

AI Secure 14 Oct 12, 2022
OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network

Stock Price Prediction of Apple Inc. Using Recurrent Neural Network OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network Dataset:

Nouroz Rahman 410 Jan 05, 2023
Pose estimation for iOS and android using TensorFlow 2.0

💃 Mobile 2D Single Person (Or Your Own Object) Pose Estimation for TensorFlow 2.0 This repository is forked from edvardHua/PoseEstimationForMobile wh

tucan9389 165 Nov 16, 2022
A general framework for inferring CNNs efficiently. Reduce the inference latency of MobileNet-V3 by 1.3x on an iPhone XS Max without sacrificing accuracy.

GFNet-Pytorch (NeurIPS 2020) This repo contains the official code and pre-trained models for the glance and focus network (GFNet). Glance and Focus: a

Rainforest Wang 169 Oct 28, 2022
Implementation of "JOKR: Joint Keypoint Representation for Unsupervised Cross-Domain Motion Retargeting"

JOKR: Joint Keypoint Representation for Unsupervised Cross-Domain Motion Retargeting Pytorch implementation for the paper "JOKR: Joint Keypoint Repres

45 Dec 25, 2022