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Renmin trainslation pdf#
Renmin trainslation code#
Renmin trainslation download#

In particular, the original CoNLL files do not conform to the specification given here.

Note that although we refer to these files as CoNLL files (after the format used in the CoNLL 20 shared tasks), the term CoNLL file has been overloaded in the literature and now is used to refer to a family of related formats. The token number indicates the token offset within the line) (This means several tokens may have the same location. This and the following three fields are the coordinates of the box tightly surrounding the line containing the token on the page assuming a DPI of 216. Because the layout is drawn from a printed newspaper, the previous token is not always the immediately preceding token in the file. This ID encodes the year, month, day, page number, box number, and token number counts left to right (or top to bottom) within the box. Tags are in what Wikipedia calls "IOB2" format. The data are tokenized by character, so a word might span more than one token. The files created through this process (, , and ) are tab-separated, UTF-8-encoded text files.

Renmin trainslation pdf#

We leave it to the user of the collection to convert the pdf files to images in a form that meets their needs this ensures that the image file format, DPI, etc., work with the user's OCR system. The CoNLL files created by create-renmin-collection.py should have the following MD5 checksums: File The scripts use relative paths to find the location of the encoded files and the other scripts, so they should not be moved from the directory in which they were created. This script takes a single argument, the name of the directory into which the collection is to be placed.

Renmin trainslation download#

The create-renmin-collection.py program will download the Renmin pdf pages used by the collection, and use them to decode the tokens listed in the encrypted train, dev, and test files. We assume a DPI of 216 if you use a different DPI, you will need to convert the offsets in the output files. To generate images of the newspaper pages, you will need the ability to convert from pdf to the image format of your choice. You will need Python 3.6 or later to run the scripts in this distribution. You will need http connectivity to this site. The Renmin source data are available from

Renmin trainslation code#

This program, together with the two other scripts it calls ( renmin-downloader.py and renmin-reconstructor.py) are in the code directory.

The create-renmin-collection.py python3 program that converts encoded tokens back to actual token strings.

These encoded annotation files are in the data directory. This ensures that the text cannot be recreated without access to the pdfs.

Annotation files (, and ) in which token strings have been encoded using keys in the original pdf file.

To recreate the OCR/NER data you will need: Fortunately, the attached scripts should do all of the work for you. This somewhat tortuous process is necessary because we do not have the rights to distribute the Renmin source data. To create the collection, you will need to download the source pdf files from Renmin, then replace the coded tokens in the annotation files with actual tokens recovered from the downloaded pdf files. Once constructed, the collection consists of a set of pdf newspaper pages from Renmin Ribao, together with character-tokenized versions of the articles in those pages annotated with fifteen named entity types. Rathnam taught at Davidson from 2016-2017.The Renmin OCR/NER Collection supports evaluation of named entity recognition (NER) over optical character recognition (OCR) output. He joined fellow Davidsonian Lincoln Rathnam ’07, a DKU political science faculty member who completed his doctorate in 2018. Ahrensdorf joined the faculty at DKU in 2019 to teach political philosophy and politics and literature. Pickus, who was also dean of curriculum and faculty development at DKU, tapped Ahrensdorf, along with John Wertheimer of the Davidson History Department, to help build the faculty that would launch an undergraduate degree program in the fall of 2018. In February 2017, Ahrensdorf was invited by Duke University Associate Provost Noah Pickus to help recruit and evaluate applicants for tenure track jobs at Duke Kunshan University (DKU), a Sino-American joint venture institution. The translations further deepen Ahrensdorf’s already significant relationship to China. This latest translation is the eighth work by Ahrensdorf published in Chinese, including an interview he gave in 2020 in Political Thoughts Review, which is sponsored by the School of Political Science and Public Administration, East China University of Political Science and Law.