Asian and Low-Resource Language Information Processing (TALLIP)


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ACM Transactions on Asian Language Information Processing (TALIP), Volume 10 Issue 1, March 2011

Introduction to the Special Issue on Arabic Computational Linguistics
Graham Katz, Mona Diab
Article No.: 1
DOI: 10.1145/1929908.1929909

Machine Translation Errors: English and Iraqi Arabic
S. Condon, D. Parvaz, J. Aberdeen, C. Doran, A. Freeman, M. Awad
Article No.: 2
DOI: 10.1145/1929908.1929910

Errors in machine translations of English-Iraqi Arabic dialogues were analyzed using the methods developed for the Human Translation Error Rate measure (HTER). Human annotations were used to refine the Translation Error Rate (TER) annotations. The...

Spelling Correction for Dialectal Arabic Dictionary Lookup
C. Anton Rytting, David M. Zajic, Paul Rodrigues, Sarah C. Wayland, Christian Hettick, Tim Buckwalter, Charles C. Blake
Article No.: 3
DOI: 10.1145/1929908.1929911

The “Did You Mean...?” system, described in this article, is a spelling corrector for Arabic that is designed specifically for L2 learners of dialectal Arabic in the context of dictionary lookup. The authors use an orthographic density...

Exploiting Separation of Closed-Class Categories for Arabic Tokenization and Part-of-Speech Tagging
Seth Kulick
Article No.: 4
DOI: 10.1145/1929908.1929912

Research on the problem of morphological disambiguation of Arabic has noted that techniques developed for lexical disambiguation in English do not easily transfer over, since the affixation present in Arabic creates a very different tag set than...

Automatic Detection of Arabic Non-Anaphoric Pronouns for Improving Anaphora Resolution
Muhammad Abdul-Mageed
Article No.: 5
DOI: 10.1145/1929908.1929913

Anaphora resolution is one of the most difficult tasks in NLP. The ability to identify non-referential pronouns before attempting an anaphora resolution task would be significant, since the system would not have to attempt resolving such pronouns...

Interruption Point Detection of Spontaneous Speech Using Inter-Syllable Boundary-Based Prosodic Features
Chung-Hsien Wu, Wei-Bin Liang, Jui-Feng Yeh
Article No.: 6
DOI: 10.1145/1929908.1929914

This article presents a probabilistic scheme for detecting the interruption point (IP) in spontaneous speech based on inter-syllable boundary-based prosodic features. Because of the high error rate in spontaneous speech recognition, a combined...