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The ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP) publishes high quality original archival 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》是一本由ASSOC COMPUTING MACHINERY出版商出版的專(zhuān)業(yè)工程技術(shù)期刊,該刊創(chuàng)刊于2015年,刊期4 issues/year,該刊已被國(guó)際權(quán)威數(shù)據(jù)庫(kù)SCIE收錄。在中科院最新升級(jí)版分區(qū)表中,該刊分區(qū)信息為大類(lèi)學(xué)科:工程技術(shù) 4區(qū),小類(lèi)學(xué)科:計(jì)算機(jī):人工智能 4區(qū);在JCR(Journal Citation Reports)分區(qū)等級(jí)為Q4。該刊發(fā)文范圍涵蓋計(jì)算機(jī):人工智能等領(lǐng)域,旨在及時(shí)、準(zhǔn)確、全面地報(bào)道國(guó)內(nèi)外計(jì)算機(jī):人工智能工作者在該領(lǐng)域取得的最新研究成果、工作進(jìn)展及學(xué)術(shù)動(dòng)態(tài)、技術(shù)革新等,促進(jìn)學(xué)術(shù)交流,鼓勵(lì)學(xué)術(shù)創(chuàng)新。2021年影響因子為1.471,
大類(lèi)學(xué)科 | 分區(qū) | 小類(lèi)學(xué)科 | 分區(qū) | Top期刊 | 綜述期刊 |
計(jì)算機(jī)科學(xué) | 4區(qū) | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 計(jì)算機(jī):人工智能 | 4區(qū) | 否 | 否 |
JCR分區(qū)等級(jí) | JCR所屬學(xué)科 | 分區(qū) | 影響因子 |
Q4 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Q4 | 1.471 |
影響因子 | h-index | Gold OA文章占比 | 研究類(lèi)文章占比 | OA開(kāi)放訪問(wèn) | 平均審稿速度 |
1.471 | 6 | 0.83% | 99.06% | 未開(kāi)放 | -- |