ACM Transactions on Asian and Low-Resource Language Information Processing (ACM ALRLIP)

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. 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.

ACM Transactions on Asian and Low-Resource Language Information Processing (ACM ALRLIP) is :-

• International, Peer-Reviewed, Open Access, Refereed, Computer Science , Online or Print , Monthly Journal

• UGC Approved, ISSN Approved: P-ISSN P-ISSN: 2375-4699, E-ISSN: 2375-4702, Established: 2013,
• Does Not Provide Crossref DOI

• Indexed in: Scopus

• Not indexed in WoS, DOAJ, PubMed, UGC CARE