LINGUIST List 26.3403

Fri Jul 24 2015

FYI: News from Linguistic Data Consortium

Editor for this issue: Ashley Parker <>

Date: 23-Jul-2015
From: Linguistic Data Consortium <>
Subject: News from Linguistic Data Consortium
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In this newsletter:

- Fall 2015 Data Scholarship Program
- English News Text Treebank: Penn Treebank Revised
- TS Wikipedia
- The Walking Around Corpus

Fall 2015 Data Scholarship Program:

Applications are now being accepted through Tuesday, September 15, 2015 for the Fall 2015 LDC Data Scholarship program. The LDC Data Scholarship program provides university students with access to LDC data at no-cost.
This program is open to students pursuing both undergraduate and graduate studies in an accredited college or university. LDC Data Scholarships are not restricted to any particular field of study; however, students must demonstrate a well-developed research agenda and a bona fide inability to pay. The selection process is highly competitive.

The application consists of two parts:

1. Data Use Proposal: Applicants must submit a proposal describing their intended use of the data. The proposal should state which data the student plans to use and how the data will benefit their research project as well as information on the proposed methodology or algorithm.

Applicants should consult the LDC Catalog for a complete list of data distributed by LDC. Due to certain restrictions, a handful of LDC corpora are restricted to members of the Consortium. Applicants are advised to select a maximum of one to two databases.

2. Letter of Support: Applicants must submit one letter of support from their thesis adviser or department chair. The letter must confirm that the department or university lacks the funding to pay the full non-member fee for the data and verify the student's need for data.

For further information on application materials and program rules, please visit the LDC Data Scholarship page.

New publications:

- English News Text Treebank: Penn Treebank Revised was developed by LDC with funding through a gift from Google Inc. It consists of a combination of automated and manual revisions of the Penn Treebank annotation of Wall Street Journal (WSJ) stories. The data is comprised of 1,203,648 word-level tokens in 49,191 sentence-level tokens -- in all 2,312 of the original Penn Treebank WSJ files.

This release includes revised tokenization, part-of-speech, and syntactic treebank annotation intended to bring the full WSJ treebank section into compliance with the agreed-upon policies and updates implemented for current English treebank annotation specifications at LDC. Examples include English Web Treebank (LDC2012T13), OntoNotes (LDC2013T19), and English translation treebanks such as English Translation Treebank: An-Nahar Newswire (LDC2012T02). English Treebank Supplemental Guidelines are included in this release.

- TS Wikipedia is a collection of approximately 1.6 million processed Turkish Wikipedia pages. The data is tokenized and includes part-of-speech tags, morphological analysis, lemmas, bi-grams and tri-grams

The data is in a word-per-line format with five tab-separated columns: token, part-of-speech tag, morphological analysis, lemma and corrected token spelling if needed. All data is presented in UTF-8 XML files and was selected and filtered to reduce non-Turkish characters, mathematical formulas and non-Turkish entries.

- The Walking Around Corpus was developed by Stony Brook University and is comprised of approximately 33 hours of navigational telephone dialogues from 72 speakers (36 speaker pairs). Participants were Stony Brook University students who identified themselves as native English speakers.
This corpus was elicited using a navigation task in which one person directed another to walk to 18 unique destinations on Stony Brook University’s West campus. The direction-giver remained inside the lab and gave directions on a land-line telephone to the pedestrian who used a mobile phone. As they visited each location, the pedestrians took a picture of each of the 18 destinations using the mobile phone. Pairs conversed spontaneously as they completed the task. The pedestrians' locations were tracked using their cell phones' GPS systems. The pedestrians did not have any maps or pictures of the target destinations and therefore relied on the direction-giver's verbal directions and descriptions to locate and photograph the target destinations.

Each digital audio file was transcribed with time stamps. The corpus material also includes the visual materials (pictures and maps) used to elicit the dialogues, data about the speakers' relationship, spatial abilities and memory performance, and other information.

All audio is presented as 8000Hz, 16-bit flac compressed wav. Transcripts are presented as xls spreadsheets.

Linguistic Field(s): Computational Linguistics

Page Updated: 24-Jul-2015