[Corpora-List] MLP2017: First Workshop on Multi-Language Processing in a Globalising World

Qun Liu liuquncn at gmail.com
Thu May 18 18:00:51 CEST 2017

** Apologies for cross-postings **

The First Workshop on Multi-Language Processing in a Globalising World (MLP 2017)

September 4-5, Dublin City University, Ireland


*MLP 2017 **Call for Abstracts*

*MLP 2017 **Call for Participation in Shared Tasks*


*MLP 2017 **Call for Abstracts*

The First Workshop on Multi-Language Processing in a Globalising World (MLP2017), organized by ADAPT Centre, Dublin City University (DCU), Ireland, will be held at DCU on September 4–5, 2017. ​ Globalisation has, on the one hand, brought us significant growth in free international trade and cross-cultural communication, as well as access to newly-developed technology, media, education, healthcare, consumer goods, etc. On the other hand, it may have negative impacts on local societies, such as cultural homogenisation. To embrace cultural diversity and multilingual phenomena, experts with research interests in different languages are invited to participate in this workshop. This international workshop will be organised as a forum and we invite natural language processing researchers and linguists to come together to discuss the current status and future directions of research in multilingualism and minority languages in this globalising world. ​ The workshop aims to provide a research forum dedicated to state-of-the-art methods and techniques on multi-language and cross-language processing and exploring the use of such technologies in specific tasks. The workshop will solicit original and ongoing research contributions related to the theme, which includes but are not limited to:


Theoretical and applied linguistic research for multilinguality and

minority languages


Text encoding theory and transcoding techniques


Resource construction, such as multilingual corpora and corpora for

minority languages


Speech, lexical, syntactic, semantic analytics for multiple

languages or minority languages


Cross-language adaptation for natural language processing


Multi-language, cross-language and minority language processing

methods and applications in machine translation, speech recognition,

information retrieval etc.


Evaluation metrics for multi-language, cross-language and minority

language processing


Multi-language, cross-language and minority language processing for

social media and user generated content


Deep learning and expressions for multi-language processing


Minority languages in emergency responses and security/disaster



Multi-language or cross-language named entity recognition, entity

relation extraction and event extraction


Multi-language or cross-language linked data or knowledge graph


Multi-language or cross-language anaphora resolution and discourse



Multi-language or cross-language sentiment analysis


Multi-language or cross-language text classification and generation


Transliteration and machine translation

The language of the Workshop is English. Abstract submissions may include research results as well as work in progress. Submissions must have a clear focus on specific issues pertaining to and cross-language processing, including minority language processing. Descriptions of commercial systems are welcome, provided the authors are willing to discuss the details of their work. The number of pages should be limited to 1–2 pages.

We suggest you structure your abstract using the following headings but it is not mandatory:

* Introduction

* Existing Work

* Methods Proposed

* Results

* Conclusion

Only the PDF version of the abstract is accepted. The submitted abstract will be subject to a double-blind review, and must not contain authors' names and affiliations. ​ Abstracts are submitted to https://easychair.org/conferences/?conf=mlp2017. Important Dates:

* Abstract Submission: June 30, 2017

* Notification of Acceptance: July 20, 2017

* Final Manuscript Submission: August 5, 2017

* Registration: July 25, 2017

* Conference: September 4-5, 2017


Conference Chair: Qun LIU (ADAPT Centre, Dublin City University,


Program Chair:

Mikel L. Forcada (Universitat d’Alacant, Spain)


mlp2017.organisation at gmail.com


* ****MLP 2017 Call for Participation in Shared Tasks on Cross-lingual Word Segmentation and Morpheme Segmentation*

The analysis of word formation is among the most fundamental natural language processing (NLP) technologies for extracting basic processing units for further NLP tasks in many languages. There are broadly two groups of segmentation tasks related to word formation, i.e. morpheme segmentation and word segmentation. Morpheme segmentation is required in languages such as Turkish, for example, where words are formed by stems, root words, prefixes, and/or suffixes. It is the foundation for further morphological analysis tasks. Word segmentation is necessary in languages such as Mandarin Chinese, where there are no word boundaries in the writing system.

Although there is clear similarity among different languages in terms of either morpheme segmentation or word segmentation, most of these tools are designed specifically for one language. In this shared task, we encourage the participants to submit the results of one system/method as applied to multiple languages for one of the two segmentation tasks.

These systems are expected to demonstrate the ability of cross-lingual processing on the segmentation tasks, which would give insights to our community into the building of fundamental NLP tools for low resource languages.

Popular languages such as Chinese and Japanese are also included in the task for two reasons. Firstly, although morpheme segmentation and word segmentation tools for these languages have been developed for many years and are often regarded as mature technologies, human creativity, variability of textual genres and dialects as exhibited in language evolution still make them challenging problems to these languages.

Secondly, we would like to encourage participants of this shared task to develop systems/methods that can be used across different languages where morpheme segmentation or word segmentation is required for natural language processing.

A corpus of at least 2,000 sentences will be prepared as the training set in each language for either morpheme segmentation or word segmentation. Development and test sets will each include 1,000 sentences for system development and evaluation purposes. The whole corpus will comprise multiple genres s where plausible in both subtasks.

Recommendations of additional language resources will also be listed/provided for some languages by the organizers. These resources might include, but will not be limited to, dictionaries, articles, social media posts and bilingual (aligned) texts for the target languages.

The tasks will be organized into two subtasks - constrained and semi-constrained, in the sense on the availability of annotated data in the corpora. In the constrained subtasks, participants will use only the corpora provided by the shared task in the development of systems, where comparisons among different technologies exhibiting their pros and cons are easier to be made. In the semi-constrained subtasks, participants are encouraged to use additional publicly available resources to further improve the performance of their systems. The four subtasks are as follows; participants can take part in any (and all) of the subtasks. It should be noted that for the external data used in semi-constrained subtasks, only un-annotated (raw) data can be used, while annotated data with word or morpheme boundaries cannot.


Task: Word Segmentation (WS)


Subtask: Word Segmentation - Constrained (WSC)


Subtask: Word Segmentation - Semi-constrained (WSS)


Task: Morpheme Segmentation (MS)


Subtask: Morpheme Segmentation - Constrained (MSC)


Subtask: Morpheme Segmentation - Semi-constrained (MSS)

In the development, results of systems tuned only with the given development sets must be submitted. Participants may also submit additional results tuned with different development sets, provided a description on how these sets are produced is given, e.g. a subset derived manually from the original given development set or by using some other method. The organizers will provide results of baseline systems for constrained morpheme segmentation (MSC) and constrained word segmentation (WSC) tasks. The results of submitted systems will be evaluated against the prepared test set for each language. Precision, recall and F1 measure will be used as metrics for the evaluation.

TARGET LANGUAGES(listed in alphabetical order)


Word Segmentation: Mandarin Chinese, Thai, Vietnamese.


Morpheme Segmentation: Basque, Farsi, Japanese, Finnish, Kazakh,

Marathi, Uyghur.


The format of the data is shown as below.


Uyghur; morpheme segmentation

ئسلاھ‪//‬ئات ئاچ‪//‬ئې‪//‬ۋەت‪//‬ىش‪//‬نى چوڭ‪//‬قۇر ئىلگىرى سۈر//دۇق


Basque, i.e. Euskara; morpheme segmentation

Paper\\a\\k mahai\\a\\ren gain\\ean daude


Mandarin Chinese; word segmentation

美國 喬治亞 州 首府 亞特蘭大


May 20, 2017 Shared Task Website Ready

May 20, 2017 First Call for Participants Ready

May 20, 2017 Registration Begins

June 20, 2017 Release of Training Set

July 5, 2017 Dryrun: Release of Development Set

July 8, 2017 Dry run: Results Submission on Development Set

July 10, 2017 Dryrun: Release of Scores

July 12, 2017 Release of Surprise Languages (Training and

Development Sets)

July 20, 2017 Registration Ends

July 24, 2017 Release of Test Set

July 31, 2017 Submission of Systems

August 4, 2017 System Results

August 11, 2017 System Description Paper Due

August 18, 2017 Notification of Acceptance

August 25, 2017 Camera-Ready Deadline


Please send a registration email tomlp2017.sharedtasks at gmail.com <mailto:mlp2017.sharedtasks at gmail.com>with the following information:








Contact person:




Last Name


First Name


Email address


Tasks and Subtasks to participate in.

The title of a registration email should be:_Registration_.

ORGANIZERS:[listed in alphabetical order]

Alberto Poncelas

ADAPT Centre, Dublin City University

Alex Huynh

University of Science, Vietnam National University Ho Chi Minh City

Chao-Hong Liu

ADAPT Centre, Dublin City University

Dinh Dien

University of Science, Vietnam National University Ho Chi Minh City

Francis Tyers UiT

Norgga árktalaš universitehta

Majid Latifi

Universitat Politècnica de Catalunya


Inner Mongolia University

Prachya Boonkwan

National Electronics and Computer Technology Center

Teresa Lynn

ADAPT Centre, Dublin City University

Thepchai Supnithi

National Electronics and Computer Technology Center

Tommi A Pirinen

Universität Hamburg

Qun Liu

ADAPT Centre, Dublin City University

Vinit Ravishankar

Maharashtra Institute of Technology

Yating Yang

University of Chinese Academy of Sciences

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