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ISCApad Archive  »  2011  »  ISCApad #159  »  Resources

ISCApad #159

Wednesday, September 14, 2011 by Chris Wellekens

5 Resources
5-1 Books
5-1-1Alain Marchal, Christian Cave, L'imagerie medicale pour l'etude de la parole

Alain Marchal, Christian Cave

Eds Hermes Lavoisier

99 euros • 304 pages • 16 x 24 • 2009 • ISBN : 978-2-7462-2235-9

Du miroir laryngé à la vidéofibroscopie actuelle, de la prise d'empreintes statiques à la palatographie dynamique, des débuts de la radiographie jusqu'à l'imagerie par résonance magnétique ou la magnétoencéphalographie, cet ouvrage passe en revue les différentes techniques d'imagerie utilisées pour étudier la parole tant du point de vue de la production que de celui de la perception. Les avantages et inconvénients ainsi que les limites de chaque technique sont passés en revue, tout en présentant les principaux résultats acquis avec chacune d'entre elles ainsi que leurs perspectives d'évolution. Écrit par des spécialistes soucieux d'être accessibles à un large public, cet ouvrage s'adresse à tous ceux qui étudient ou abordent la parole dans leurs activités professionnelles comme les phoniatres, ORL, orthophonistes et bien sûr les phonéticiens et les linguistes.

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5-1-2Christoph Draxler, Korpusbasierte Sprachverarbeitung

Author: Christoph Draxler
Title: Korpusbasierte Sprachverarbeitung
Publisher: Narr Francke Attempto Verlag Tübingen
Year: 2008
Link: http://www.narr.de/details.php?catp=&p_id=16394

Summary: Spoken language is a major area of linguistic research and speech technology development. This handbook presents an introduction to the technical foundations and shows how speech data is collected, annotated, analysed, and made accessible in the form of speech databases. The book focuses on web-based procedures for the recording and processing of high quality speech data, and it is intended as a desktop reference for practical recording and annotation work. A chapter is devoted to the Ph@ttSessionz database, the first large-scale speech data collection (860+ speakers, 40 locations in Germany) performed via the Internet. The companion web site (http://www.narr-studienbuecher.de/Draxler/index.html) contains audio examples, software tools, solutions to the exercises, important links, and checklists. 

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5-1-3Robert M. Gray, Linear Predictive Coding and the Internet Protocol

Linear Predictive Coding and the Internet Protocol, by Robert M. Gray, a special edition hardback book from Foundations and Trends in Signal Processing (FnT SP). The book brings together two forthcoming issues of FnT SP, the first being a survey of LPC, the second a unique history of realtime digital speech on packet networks.

 

Volume 3, Issue 3                                                                                                                                                                                                 

A Survey of Linear Predictive Coding: Part 1 of LPC and the IP                                                                                                                                  

By Robert M. Gray (Stanford University)                                                                                                                                                                  

http://www.nowpublishers.com/product.aspx?product=SIG&doi=2000000029                                                                                                             

 

Volume 3, Issue  4

 

A History of Realtime Digital Speech on Packet Networks: Part 2 of LPC and the IP                                                                                                     

By Robert M. Gray (Stanford University)                                                                                                                                                                  

http://www.nowpublishers.com/product.aspx?product=SIG&doi=2000000036                                                                                                            

 

The links above will take you to the article abstracts.

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5-1-4M. Embarki and M. Ennaji, Modern Trends in Arabic Dialectology

Modern Trends in Arabic Dialectology,
M. Embarki & M. Ennaji (eds.), Trenton (USA): The Red Sea Press.

Contents
Introduction
Mohamed Embarki and Moha Ennaji
vii
Part I: Theoretical and Hi storical Perspectives
and Methods in Arabic Di alectology
Chapter 1 : Arabic Dialects: A Discussion
Janet C. E. Watson p. 3
Chapter 2 : The Emergence of Western Arabic: A Likely Consequence of Creolization
Federrico Corriente p. 39
Chapter 3 : Acoustic Cues for the Classification of Arabic Dialects
Mohamed Embarki p. 47
Chapter 4 : Variation and Attitudes:
A Sociolinguistic Analysis of the Qaaf
Maher Bahloul p. 69

Part II : Eastern Arabic Di alects
Chapter 5 : Arabic Bedouin Dialects and their Classification
Judith Rosenhouse p. 97
Chapter 6 : Evolution of Expressive Structures in Egyptian Arabic
Amr Helmy Ibrahim p. 121
Chapter 7 : ?adram? Arabic Lexicon
Abdullah Hassan Al-Saqqaf p. 139

Part III: Western Arabic Di alects
Chapter 8 : Dialectal Variation in Moroccan Arabic
Moha Ennaji p. 171
Chapter 9 : Formation and Evolution of Andalusi Arabic and its
Imprint on Modern Northern Morocco
Ángeles Vicente p. 185
Chapter 10 : The Phonetic Implementation of Falling Pitch Accents
in Dialectal Maltese: A Preliminary Study
of the Intonation of Gozitan ?ebbu?i
Alexandra Vella p. 211
Index p. 239



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5-1-5Gokhan Tur , R De Mori, Spoken Language Understanding: Systems for Extracting Semantic Information from Speech

Title: Spoken Language Understanding: Systems for Extracting Semantic Information from Speech

Editors: Gokhan Tur and Renato De Mori

Web: http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470688246.html

Brief Description (please use as you see fit):

Spoken language understanding (SLU) is an emerging field in between speech and language processing, investigating human/ machine and human/ human communication by leveraging technologies from signal processing, pattern recognition, machine learning and artificial intelligence. SLU systems are designed to extract the meaning from speech utterances and its applications are vast, from voice search in mobile devices to meeting summarization, attracting interest from both commercial and academic sectors.

Both human/machine and human/human communications can benefit from the application of SLU, using differing tasks and approaches to better understand and utilize such communications. This book covers the state-of-the-art approaches for the most popular SLU tasks with chapters written by well-known researchers in the respective fields. Key features include:

Presents a fully integrated view of the two distinct disciplines of speech processing and language processing for SLU tasks.

Defines what is possible today for SLU as an enabling technology for enterprise (e.g., customer care centers or company meetings), and consumer (e.g., entertainment, mobile, car, robot, or smart environments) applications and outlines the key research areas.

Provides a unique source of distilled information on methods for computer modeling of semantic information in human/machine and human/human conversations.

This book can be successfully used for graduate courses in electronics engineering, computer science or computational linguistics. Moreover, technologists interested in processing spoken communications will find it a useful source of collated information of the topic drawn from the two distinct disciplines of speech processing and language processing under the new area of SLU.

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5-1-6Jody Kreiman, Diana Van Lancker Sidtis ,Foundations of Voice Studies: An Interdisciplinary Approach to Voice Production and Perception

Foundations of Voice Studies: An Interdisciplinary Approach to Voice Production and Perception
Jody Kreiman, Diana Van Lancker Sidtis
ISBN: 978-0-631-22297-2
Hardcover
512 pages
May 2011, Wiley-Blackwell

Foundations of Voice Studies provides a comprehensive description and analysis of the multifaceted role that voice quality plays in human existence.

•Offers a unique interdisciplinary perspective on all facets of voice perception, illustrating why listeners hear what they do and how they reach conclusions based on voice quality
•Integrates voice literature from a multitude of sources and disciplines
•Supplemented with practical and approachable examples, including a companion website with sound files, available on publication at www.wiley.com/go/voicestudies
•Explores the choice of various voices in advertising and broadcasting, and voice perception in singing voices and forensic applications
•Provides a straightforward and thorough overview of vocal physiology and control


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5-1-7G. Nick Clements and Rachid Ridouane, Where Do Phonological Features Come From?

 

Where Do Phonological Features Come From?

Edited by G. Nick Clements and Rachid Ridouane

CNRS & Sorbonne-Nouvelle

This volume offers a timely reconsideration of the function, content, and origin of phonological features, in a set of papers that is theoretically diverse yet thematically strongly coherent. Most of the papers were originally presented at the International Conference 'Where Do Features Come From?' held at the Sorbonne University, Paris, October 4-5, 2007. Several invited papers are included as well. The articles discuss issues concerning the mental status of distinctive features, their role in speech production and perception, the relation they bear to measurable physical properties in the articulatory and acoustic/auditory domains, and their role in language development. Multiple disciplinary perspectives are explored, including those of general linguistics, phonetic and speech sciences, and language acquisition. The larger goal was to address current issues in feature theory and to take a step towards synthesizing recent advances in order to present a current 'state of the art' of the field.

 

 

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5-2 Database
5-2-1ELRA - Language Resources Catalogue - Update (2011-05)


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ELRA - Language Resources Catalogue - Update
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ELRA is happy to announce that 2 new Multimodal and 3 new Speech Resources are now available in its catalogue.
Moreover, two Speech Resources previously announced are now available at better pricing conditions.

1) New Language Resources:

ELRA-S0314 LILA Marathi database
The LILA Marathi database comprises 2,002 Marathi speakers (992 males and 1010 females) recorded over the Korean mobile telephone network. Each speaker uttered around 46 read and spontaneous items.
For more information, see: http://catalog.elra.info/product_info.php?products_id=1136

ELRA-S0315 A-SpeechDB
A-SpeechDB© is an Arabic speech database which contains about 20 hours of continuous speech recorded through one desktop omni microphone by 205 native speakers (about 30% of females and 70% of males), aged between 20 and 45. Automatically generated transcriptions are provided with a manually revised version for each sentence.
For more information, see: http://catalog.elra.info/product_info.php?products_id=1140

ELRA-S0316 SmartKom Home (SKH)
Release SKH 1.0 contains 130 recordings in the technical setup ('scenario') SmartKom Home which should be an intelligent communication assistant for the private environment. Naive users were asked to test a 'prototype' for a market study not knowing that the system was in fact controlled by two human operators. They were asked to solve two tasks in a period of 4.5 minutes while they were left alone with the system.
For more information, see: http://catalog.elra.info/product_info.php?products_id=1137

ELRA-S0317 SmartKom Mobil (SKM)
Release SKM 1.0 contains 146 recordings in the technical setup ('scenario') SmartKom Mobil which is a portable PDA equipped with a net link and additional intelligent communication devices. Naive users were asked to test a 'prototype' for a market study not knowing that the system was in fact controlled by two human operators. They were asked to solve two tasks in a period of 4,5 min while they were left alone with the system.
For more information, see: http://catalog.elra.info/product_info.php?products_id=1138

ELRA-S0318 SmartKom Audio (SKAUDIO)
Release SKAUDIO 1.0 contains all audio channel recordings of the SmartKom corpora SmartKom Public (cf. ELRA-S0136), SmartKom Home (cf. ELRA-S0316) and SmartKom Mobil (cf. ELRA-S0317).
For more information, see: http://catalog.elra.info/product_info.php?products_id=1139


2) Revised Language Resources (new pricing conditions):

ELRA-S0136 SmartKom Public (SKP)
Release SKP 2.0 contains 172 recordings in the technical setup ('scenario') SmartKom Public which is comparable to a traditional public phone booth but equipped with additional intelligent communication devices. Naive users were asked to test a 'prototype' for a market study not knowing that the system was in fact controlled by two human operators. They were asked to solve two tasks in a period of 4.5 minutes while they were left alone with the system.
For more information, see: http://catalog.elra.info/product_info.php?cPath=37_39&products_id=1130

ELRA-S0281 LILA Hindi-L1 database
The LILA Hindi-L1 database comprises 2,030 Hindi speakers (1,012 males and 1,018 females, all speakers with Hindi as first language) recorded over the Indian mobile telephone network. Each speaker uttered around 60 read and spontaneous items.
For more information, see: http://catalog.elra.info/product_info.php?products_id=1071


For more information on the catalogue, please contact Valérie Mapelli mailto:mapelli@elda.org

Visit our On-line Catalogue: http://catalog.elra.info
Visit the Universal Catalogue: http://universal.elra.info
Archives of ELRA Language Resources Catalogue Updates: http://www.elra.info/LRs-Announcements.html 

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5-2-2LDC Newsletter (August 2011)

In this newsletter:

 -  Fall 2011 LDC Data Scholarship Program  -

Checking in with previous LDC Data Scholarship recipients  -

 -  Weizmann Institute students are introduced to LDC data  -

 -  LDC Exhibiting at Interspeech 2011, Florence Italy  -

 New publications:

 LDC2011S06
2005 Spring NIST Rich Transcription (RT-05S) Evaluation Set  -

 LDC2011S05
2008 NIST Speaker Recognition Evaluation Training Set Part 1  -

 LDC2011T09
Arabic Treebank: Part 2 v 3.1  -


 

 Fall 2011 LDC Data Scholarship Program


Applications are now being accepted through September 15, 2011 for the Fall 2011 LDC Data Scholarship program!  The LDC Data Scholarship program provides university students with access to LDC data at no-cost.  During the previous two cycles of the program, LDC has awarded no-cost copies of LDC data valued at over US$25,000. 

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 must contain the applicant's name, university, and field of study. The proposal should state which data the student plans to use and contain a description of their research project. 

Applicants should consult the LDC Corpus 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 datasets; students may apply for additional datasets during the following cycle once they have completed processing of the initial datasets and publish or present work in some juried venue.

(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. 

Students can email their applications to the LDC Data Scholarship program. Decisions will be sent by email from the same address.

The deadline for the Fall 2011 program cycle is September 15, 2011.
 

Checking in with previous LDC Data Scholarship recipients


LDC introduced the Data Scholarship program during the Fall 2010 semester. Since that time, more than fifteen individual students and student research groups have been awarded no-cost copies of LDC data for their research endeavors.  Here is an update on the work of a few of our student recipients:

  • Zachary Brooks - University of Arizona (USA), PhD Candidate, Second Language Acquisition and Teaching.  Zachary and his research group were awarded a copy of ECI Multilingual Text (LDC94T5) for research in eye movement tracking by native and non-natives readers. Zachary used the ECI Multilingual Text data to test how second language readers process high and low frequency words in German.  The results thus far show that processing a low frequency word can make it harder to process words that come next.  The group's bilingual reading processes research is ongoing and Zachary anticipates the need to utilize additional speech and text corpora for future work.

 

  • Benjamin Martinez Elizalde - Monterrey Institute of Technology and Superior Studies, ITESM (Mexico), graduate student, Computer Science. Benjamin was awarded a copy of Switchboard-1 Release 2 (LDC97S62) and 2002 NIST Speaker Recognition Evaluation (SRE) (LDC2004S04) to support his research in speaker verification modeling. Benjamin's group has prepared a robust Universal Background Model (UBM) and will use the Switchboard and 2002 NIST SRE data to run enrollment and test experiments once a lower baseline is achieved. The Switchboard and SRE data will also be used to prepare the system for the 2012 NIST SRE.

 

  • Xiaohui Huang - Harbin Institute of Technology (China), Shenzhen Graduate School.  Xiaohui and his research group were awarded a copy of TDT5 Topics and Annotations (LDC2006T19)  for his work in topic detection and tracking for large-scale web data.  Xiaohui extracted 607 documents from TDT5 Multilingual Text (LDC2006T18) and designed a new clustering approach for this data set. TDT5 Topics and Annotations (LDC2006T19 ) was used to label for measuring the precision of clustering.  Xiaohui next compared his clustering approach with other text clustering approaches such as k-means and agglomerative hierarchical clustering and was able to achieve good performance.  Since his group's method has been validated on small test data sets, next they will look to validate the system using larger text databases and time-series databases.

 

  • Muhua Zhu - Northeastern University (China), graduate student, Natural Language Processing. Muhua was awarded a copy of Chinese Treebank (CTB) 7.0 (LDC2010T07) to support the development of a high-accuracy Chinese parser. Currently, Muhua is writing a survey paper on Chinese syntactic parsing which studies the performance of different parsing models on the versions of LDC's CTBs. Muhua had expected that parsing accuracy would increase with the additional data from CTB7.0, but accuracy decreased in some instances perhaps because of the inclusion of web text in CTB 7.0.   Muhua next plans to use re-ranking methods for syntactic parsing and to extract a Combinatory Categorial Grammar bank (CCG bank) from CTB7.0.


We'd like to thanks these students for providing an update on their research.  Stay tuned for further reports from other data scholarship recipients.

Weizmann Institute students are introduced to LDC data


LDC data was featured in an introductory speech recognition course at the Weizmann Institute of Science in Rehovot, Israel.  Visiting professor, Karen Livescu, of Toyota Technological Institute at Chicago and University of Chicago, Department of Computer Science used several LDC corpora, including CSR-I (WSJ0) Complete (LDC93S6A), Switchboard-1 Release 2 (LDC97S62), TIDIGITS (LDC93S10), and TIMIT Acoustic-Phonetic Continuous Speech Corpus (LDC93S1) for homework and term projects, with a few examples shown during in-class demonstration.

The students enrolled in the course  were computer science and mathematics graduate students and all were new to automatic speech recognition (ASR).  They had backgrounds in probability, but no significant experience with the probabilistic models used in ASR, such as hidden Markov models and Gaussian mixtures.  Livescu provided baseline recognizers that the students could modify, so that even beginning students could focus on specific components, while using real data with results in the literature to compare against.

Since the students were provided with real data that the research community actively uses, students were motivated by the potential for 'real' results if their projects went as planned.  As Livescu noted, 'while starting out in ASR from scratch is very difficult, the availability of toolkits and LDC data makes it possible for students in an introductory class to do productive research quite quickly'.

Many thanks to Karen Livescu for sharing an example of how LDC data can be used for teaching purposes.

 

LDC Exhibiting at Interspeech 2011, Florence Italy

 

LDC is returning to Europe to participate in Interspeech 2011. The conference will be held from August 28-31 at the Firenze Fiera, conveniently located near the Stazione di Santa Maria Novella.  Please stop by LDC’s exhibition booth to say hello and learn more about current happenings at the Consortium.

Interspeech 2011’s theme is ‘Speech Science and Technology for Real Life’. You may learn more about the conference here.

The main conference will feature keynotes on the following topics:

Speaking More Like You: Entrainment in Conversational Speech, Prof. Julia Hirschberg

Neural Representations of Word Meanings, Prof. Tom Mitchell

Honest Signals, Prof. Sandy Pentland

Conference organizers have also scheduled a roundtable discussion for August 31st on ‘Future and Applications of Speech and Language Technologies for the Good Health of Society’ which will be led by Profs. Gabriele Miceli, Björn Granström and Hiroshi Ishiguro.

You are encouraged to keep track of LDC’s Interspeech preparations on our Facebook page. We hope to see you there!

 

New Publications

(1) 2005 Spring NIST Rich Transcription (RT-05S) Conference Meeting Evaluation Set was developed by LDC and the National Institute of Standards and Technology (NIST). It contains approximately 78 hours of English meeting speech, reference transcripts and other material used in the RT Spring 2005 evaluation. Rich Transcription (RT) is broadly defined as a fusion of speech-to-text (STT) technology and metadata extraction technologies providing the bases for the generation of more usable transcriptions of human-human speech in meetings.

RT-05S included the following tasks in the meeting domain:

Speech-To-Text (STT) - convert spoken words into streams of text

Speaker Diarization (SPKR) - find the segments of time within a meeting in which each meeting participant is talking

Speech Activity Detection (SAD) - detect when someone in a meeting space is talking

Further information about the evaluation is available on the RT-05 Spring Evaluation Website.

The data in this release consists of portions of meeting speech collected between 2001 and 2005 by the IDIAP Research Institute's Augmented Multi-Party Interaction project (AMI), Martigny, Switzerland; International Computer Science Institute (ICSI) at University of California, Berkeley; Interactive Systems Laboratories (ISL) at Carnegie Mellon University (CMU), Pittsburgh, PA; NIST; and Virginia Polytechnic Institute and State University (VT), Blacksburg, VA. Each meeting excerpt contains a head-mic recording for each subject and one or more distant microphone recordings.

Reference transcripts for the evaluation excerpts were prepared by LDC according to its Meeting Recording Careful Transcription Guidelines. Those specifications are designed to provide an accurate, verbatim (word-for-word) transcription, time-aligned with the audio file and including the identification of additional audio and speech signals with special mark-up.

2005 Spring NIST Rich Transcription (RT-05S) Conference Meeting Evaluation Set is distributed on 3 DVD-ROM.

2011 Subscription Members will automatically receive two copies of this corpus. 2011 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for $2250.

 

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(2) 2008 NIST Speaker Recognition Evaluation Training Set Part 1 was developed by LDC and the National Institute of Standards and Technology (NIST). It contains 640 hours of multilingual telephone speech and English interview speech along with transcripts and other materials used as training data in the 2008 NIST Speaker Recognition Evaluation (SRE).

SRE is part of an ongoing series of evaluations conducted by NIST. These evaluations are an important contribution to the direction of research efforts and the calibration of technical capabilities. They are intended to be of interest to all researchers working on the general problem of text independent speaker recognition.

The 2008 evaluation was distinguished from prior evaluations, in particular those in 2005 and 2006, by including not only conversational telephone speech data but also conversational speech data of comparable duration recorded over a microphone channel involving an interview scenario.

The speech data in this release was collected in 2007 by LDC at its Human Subjects Data Collection Laboratories in Philadelphia and by the International Computer Science Institute (ICSI) at the University of California, Berkley. This collection was part of the Mixer 5 project, which was designed to support the development of robust speaker recognition technology by providing carefully collected and audited speech from a large pool of speakers recorded simultaneously across numerous microphones and in different communicative situations and/or in multiple languages. Mixer participants were native English and bilingual English speakers. The telephone speech in this corpus is predominately English; all interview segments are in English. Telephone speech represents approximately 565 hours of the data, where as microphone speech represents the other 75 hours.

The telephone speech segments include excerpts in the range of 8-12 seconds and 5 minutes from longer original conversations. The interview material includes short conversation interview segments of approximately 3 minutes from a longer interview session. English language transcripts in .cfm format were produced using an automatic speech recognition (ASR) system.

2008 NIST Speaker Recognition Evaluation Training Set Part 1 is distributed on 9 DVD-ROM.

2011 Subscription Members will automatically receive two copies of this corpus. 2011 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for $2000.

 

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(3) Arabic Treebank: Part 2 (ATB2) v 3.1 was developed at LDC. It consists of 501 newswire stories from Ummah Press with part-of-speech (POS), morphology, gloss and syntactic treebank annotation in accordance with the Penn Arabic Treebank (PATB) Guidelines developed in 2008 and 2009. This release represents a significant revision of LDC's previous ATB2 publication: Arabic Treebank: Part 2 v 2.0 LDC2004T02.

The ongoing PATB project supports research in Arabic-language natural language processing and human language technology development. The methodology and work leading to the release of this publication are described in detail in the documentation accompanying this corpus and in two research papers: Enhancing the Arabic Treebank: A Collaborative Effort toward New Annotation Guidelines and Consistent and Flexible Integration of Morphological Annotation in the Arabic Treebank.

ATB2 v 3.1 contains a total of 144,199 source tokens before clitics are split, and 169,319 tree tokens after clitics are separated for the treebank annotation. Source texts were selected from Ummah Press news archives covering the period from July 2001 through September 2002.

Arabic Treebank: Part 2 v 3.1 is distributed via web download.

2011 Subscription Members will automatically receive two copies of this corpus on disc. 2011 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for $4500.


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5-2-3ELRA receives the META Prize at the META-FORUM 2011 in Budapest

Paris, France, July 18, 2011

ELRA receives the META Prize at the META-FORUM 2011 in Budapest


During the META-FORUM 2011 which took place in Budapest (Hungary) on June 27-28, 2011, ELRA, a world-wide leading player providing Language Resources-related services to the HLT community, has received the META Prize for “Outstanding long-term commitment to the preparation and distribution of language resources and technologies”.  The Prize is shared with Linguistic Data Consortium (LDC). The META-NET Prize is awarded by the META-NET Technology Council, a 30 members committee from HLT R&D and industry executives and managers.


*** About ELRA ***
The European Language Resources Association (ELRA) is a world-wide leading player in language resource distribution, sharing and production. ELRA provides services to the language communities related to distribution and production of resources, including production on demand, technology evaluation and benchmarking. ELRA organizes LREC, the major international conference devoted to language resources and evaluation, with over 1,200 attendees from academia and industry. The next LREC edition will be held in Istanbul in 2012.
To find out more about ELRA, please visit our web site: http://www.elra.info


*** About Meta ***
META, the Multilingual Europe Technology Alliance brings together researchers, commercial technology providers, private and corporate language technology users, language professionals and other information society stakeholders.
To find out more about META, please visit the web site: http://www.meta-net.eu

Contact : Helene Mazo, mazo@elda.org

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5-2-4Speechocean China

SpeechOcean China also has about 200+ large language resources and some of databases can be freely used to our members for academic research purpose.  As a ISCA member, we will be also glad to share these databases to other ISCA members,

www.speechocean.com

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