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Asian and Low-Resource Language Information Processing (TALLIP)

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ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Volume 16 Issue 4, September 2017

Evaluating the Content of LMF Standardized Dictionaries: A Practical Experiment on Arabic Language
Wafa Wali, Bilel Gargouri, Adelmajid Ben Hamadou
Article No.: 22
DOI: 10.1145/3047406

Since the age of paper versions, dictionaries are often published with anomalies in their content resulting from lexicographer’s mistakes or from the lack of efficiency of automatic enrichment systems. Many of these anomalies are expensive...

A Sentiment Treebank and Morphologically Enriched Recursive Deep Models for Effective Sentiment Analysis in Arabic
Ramy Baly, Hazem Hajj, Nizar Habash, Khaled Bashir Shaban, Wassim El-Hajj
Article No.: 23
DOI: 10.1145/3086576

Accurate sentiment analysis models encode the sentiment of words and their combinations to predict the overall sentiment of a sentence. This task becomes challenging when applied to morphologically rich languages (MRL). In this article, we...

Animation of Fingerspelled Words and Number Signs of the Sinhala Sign Language
Malinda Punchimudiyanse, Ravinda Gayan Narendra Meegama
Article No.: 24
DOI: 10.1145/3092743

Sign language is the primary communication medium of the aurally handicapped community. Often, a sign gesture is mapped to a word or a phrase in a spoken language and named as a conversational sign. A fingerspelling sign is a special sign derived...

AROMA: A Recursive Deep Learning Model for Opinion Mining in Arabic as a Low Resource Language
Ahmad Al-Sallab, Ramy Baly, Hazem Hajj, Khaled Bashir Shaban, Wassim El-Hajj, Gilbert Badaro
Article No.: 25
DOI: 10.1145/3086575

While research on English opinion mining has already achieved significant progress and success, work on Arabic opinion mining is still lagging. This is mainly due to the relative recency of research efforts in developing natural language...

A CDT-Styled End-to-End Chinese Discourse Parser
Fang Kong, Guodong Zhou
Article No.: 26
DOI: 10.1145/3099557

Discourse parsing is a challenging task and plays a critical role in discourse analysis. Since the release of the Rhetorical Structure Theory Discourse Treebank and the Penn Discourse Treebank, the research on English discourse parsing has...

A Position-Aware Language Modeling Framework for Extractive Broadcast News Speech Summarization
Shih-Hung Liu, Kuan-Yu Chen, Yu-Lun Hsieh, Berlin Chen, Hsin-Min Wang, Hsu-Chun Yen, Wen-Lian Hsu
Article No.: 27
DOI: 10.1145/3099472

Extractive summarization, a process that automatically picks exemplary sentences from a text (or spoken) document with the goal of concisely conveying key information therein, has seen a surge of attention from scholars and practitioners recently....

A Supervised Learning Approach for Authorship Attribution of Bengali Literary Texts
Shanta Phani, Shibamouli Lahiri, Arindam Biswas
Article No.: 28
DOI: 10.1145/3099473

Authorship Attribution is a long-standing problem in Natural Language Processing. Several statistical and computational methods have been used to find a solution to this problem. In this article, we have proposed methods to deal with the...

Translating Low-Resource Languages by Vocabulary Adaptation from Close Counterparts
Peyman Passban, Qun Liu, Andy Way
Article No.: 29
DOI: 10.1145/3099556

Some natural languages belong to the same family or share similar syntactic and/or semantic regularities. This property persuades researchers to share computational models across languages and benefit from high-quality models to boost existing...