Journal Information
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP)
https://dl.acm.org/journal/tallip
Impact Factor:
1.800
Publisher:
ACM
ISSN:
2375-4699
Viewed:
16549
Tracked:
11
Call For Papers
The ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP) publishes high quality original archival papers, survey papers, and technical notes in the areas of computation and processing of information in Asian languages, low-resource languages of Africa, Australasia, Oceania and the Americas, as well as related disciplines. It is published six times a year.

The subject areas covered by TALLIP include, but are not limited to:

    Computational Linguistics: including computational phonology, computational morphology, computational syntax (e.g. parsing), computational semantics, computational pragmatics, etc.
    Linguistic Resources: including computational lexicography, terminology, electronic dictionaries, cross-lingual dictionaries, electronic thesauri, etc.
    Hardware and software algorithms and tools for Asian or low-resource language processing, e.g., handwritten character recognition.
    Information Understanding: including text understanding, speech understanding, character recognition, discourse processing, dialogue systems, etc.
    Machine Translation involving Asian or low-resource languages.
    Information Retrieval: including natural language processing (NLP) for concept-based indexing, natural language query interfaces, semantic relevance judgments, etc.
    Information Extraction and Filtering: including automatic abstraction, user profiling, etc.
    Speech processing: including text-to-speech synthesis and automatic speech recognition.
    Multimedia Asian Information Processing: including speech, image, video, image/text translation, etc.
    Cross-lingual information processing involving Asian or low-resource languages.

Papers that deal in theory, systems design, evaluation and applications in the aforesaid subjects are appropriate for TALLIP. Emphasis will be placed on the originality and the practical significance of the reported research.

In addition, papers published in TALLIP must relate to some aspect of Asian or low-resource language or speech processing. Asian languages include languages in East Asia (e.g. Chinese, Japanese, Korean), South Asia (Hindi, Tamil, etc), Southeast Asia (Malay, Thai, Vietnamese, etc), the Middle East (Arabic, etc), and so on. Low-resource languages of primary interest are those of Africa, Australasia, Oceania, the Americas and, of course, Asia.

TALLIP is also open to articles that provide literature and/or technology reviews in one of the above-mentioned areas. However, in order to be considered for publication, such an article must demonstrate that it provides information that is substantially different from what is available in the literature. The author(s) of review articles must submit a cover letter that clearly states why they believe their contribution adds useful material not covered elsewhere. Also, a review article should not just be a summarization of previous work: it must also be a work of exegesis. That is, the author(s) must show how the different strands of work relate to each other. They should also offer a view of where the field under review is going. A survey or review article submitted to TALLIP will go through the usual review process only if the editors feel the submission adheres to the above guidelines.

Finally, starting with issue 12(4), a new editorial column entitled TALLIP Perspectives (formerly TALIP Perspectives) has been launched. The editorial column is open anyone who wants to contribute an editorial on topics relevant to Asian language and speech processing. Contributors should contact the Editor directly. Submissions will be shared with the Associate Editors for discussion. In rare instances, if the submission involves substantial technical content, we will ask an outside reviewer for assistance.
Last updated by Dou Sun in 2024-08-10
Related Journals
Related Conferences
Recommendation