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Journal articles on the topic 'Language compression'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

Stecuła, Beniamin, Kinga Stecuła, and Adrian Kapczyński. "Compression of Text in Selected Languages—Efficiency, Volume, and Time Comparison." Sensors 22, no. 17 (2022): 6393. http://dx.doi.org/10.3390/s22176393.

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The goal of the research was to study the possibility of using the planned language Esperanto for text compression, and to compare the results of the text compression in Esperanto with the compression in natural languages, represented by Polish and English. The authors performed text compression in the created program in Python using four compression algorithms: zlib, lzma, bz2, and zl4 in four versions of the text: in Polish, English, Esperanto, and Esperanto in x notation (without characters outside ASCII encoding). After creating the compression program, and compressing the proper texts, au

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Teal, Tracy K., and Charles E. Taylor. "Effects of Compression on Language Evolution." Artificial Life 6, no. 2 (2000): 129–43. http://dx.doi.org/10.1162/106454600568366.

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Abstract For many adaptive complex systems information about the environment is not simply recorded in a look-up table, but is rather encoded in a theory, schema, or model, which compresses information. The grammar of a language can be viewed as such a schema or theory. In a prior study [Teal et al., 1999] we proposed several conjectures about the learning and evolution of language that should follow from these observations: (C1) compression aids in generalization; (C2) compression occurs more easily in a “smooth”, as opposed to a “rugged”, problem space; and (C3) constraints from compression

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Ignatoski, Matea, Jonatan Lerga, Ljubiša Stanković, and Miloš Daković. "Comparison of Entropy and Dictionary Based Text Compression in English, German, French, Italian, Czech, Hungarian, Finnish, and Croatian." Mathematics 8, no. 7 (2020): 1059. http://dx.doi.org/10.3390/math8071059.

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The rapid growth in the amount of data in the digital world leads to the need for data compression, and so forth, reducing the number of bits needed to represent a text file, an image, audio, or video content. Compressing data saves storage capacity and speeds up data transmission. In this paper, we focus on the text compression and provide a comparison of algorithms (in particular, entropy-based arithmetic and dictionary-based Lempel–Ziv–Welch (LZW) methods) for text compression in different languages (Croatian, Finnish, Hungarian, Czech, Italian, French, German, and English). The main goal i

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Ibragimova, Dilnora Shavkat qizi. "MEANS OF COMPRESSION IN SIMULTANEOUS INTERPRETING." SCHOLAR 1, no. 3 (2023): 190–93. https://doi.org/10.5281/zenodo.7628631.

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<em>Simultaneous interpreting for all intents and purposes is a particularly common interpreting modality that kind of is utilized in conferences, place of business education sessions, and prison or authorities situations in a fairly big way. In the instance of simultaneous interpreting, the interpreter goes thru a three-part simultaneous process: Listening to the original language the speaker cognitively converts the verbal exchange into the generally goal language earlier than decoding it to the third party/audience in the for all intents and purposes goal language, actually contrary to popu

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Brisaboa, Nieves R., Antonio Fariña, Gonzalo Navarro, and José R. Paramá. "Lightweight natural language text compression." Information Retrieval 10, no. 1 (2006): 1–33. http://dx.doi.org/10.1007/s10791-006-9001-9.

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Buhrman, Harry, Troy Lee, and Dieter van Melkebeek. "Language compression and pseudorandom generators." computational complexity 14, no. 3 (2005): 228–55. http://dx.doi.org/10.1007/s00037-005-0199-5.

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Pletenev, Sergey. "Probing the Pitfalls: Understanding SVD’s Shortcomings in Language Model Compression." Journal of Language and Education 10, no. 4 (2024): 85–97. https://doi.org/10.17323/jle.2024.22368.

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Background: Modern computational linguistics heavily relies on large language models that demonstrate strong performance in various Natural Language Inference (NLI) tasks. These models, however, require substantial computational resources for both training and deployment. To address this challenge, a range of compression and acceleration techniques has been developed, including quantization, pruning, and factorization. Each of these approaches operates differently, can be applied at various levels of the model architecture, and is suited to different deployment scenarios. Purpose: The objectiv

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Yang, Le, Zhao Yang Guo, Shan Shan Yong, Feng Guo, and Xin An Wang. "A Hardware Implementation of Real Time Lossless Data Compression and Decompression Circuits." Applied Mechanics and Materials 719-720 (January 2015): 554–60. http://dx.doi.org/10.4028/www.scientific.net/amm.719-720.554.

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This paper presents a hardware implementation of real time data compression and decompression circuits based on the LZW algorithm. LZW is a dictionary based data compression, which has the advantage of fast speed, high compression, and small resource occupation. In compression circuit, the design creatively utilizes two dictionaries alternately to improve efficiency and compressing rate. In decompression circuit, an integrated State machine control module is adopted to save hardware resource. Through hardware description and language programming, the circuits finally reach function simulation

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Roy, Abhijit, Pamela E. Souza, and Ann Bradlow. "Exploring the need for language-specific hearing aid signal processing." Journal of the Acoustical Society of America 152, no. 4 (2022): A197. http://dx.doi.org/10.1121/10.0016012.

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Speech phonemes in higher frequencies have varying acoustic characteristics in different languages. For example, /s/ and /ʃ/, fricatives commonly used in English, have spectral peaks at higher frequencies than /ʂ/ and /x/, fricatives commonly used in Mandarin. Data on the relationship between the acoustic characteristics of a listener’s native language and their hearing aid signal prescription requirements could provide important clinical guidance. Non-linear frequency compression is a digital signal processing tool that compresses auditory information above a pre-determined cutoff frequency.

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Laura, Juan Andres, Gabriel Omar Masi, and Luis Argerich. "From Imitation to Prediction, Data Compression vs Recurrent Neural Networks for Natural Language Processing." Inteligencia Artificial 21, no. 61 (2018): 30. http://dx.doi.org/10.4114/intartif.vol21iss61pp30-46.

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In recent studies Recurrent Neural Networks were used for generative processes and their surprising performance can be explained by their ability to create good predictions. In addition, Data Compression is also based on prediction. What the problem comes down to is whether a data compressor could be used to perform as well as recurrent neural networks in the natural language processing tasks of sentiment analysis and automatic text generation. If this is possible, then the problem comes down to determining if a compression algorithm is even more intelligent than a neural network in such tasks

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Zaslavsky, Noga, Charles Kemp, Terry Regier, and Naftali Tishby. "Efficient compression in color naming and its evolution." Proceedings of the National Academy of Sciences 115, no. 31 (2018): 7937–42. http://dx.doi.org/10.1073/pnas.1800521115.

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We derive a principled information-theoretic account of cross-language semantic variation. Specifically, we argue that languages efficiently compress ideas into words by optimizing the information bottleneck (IB) trade-off between the complexity and accuracy of the lexicon. We test this proposal in the domain of color naming and show that (i) color-naming systems across languages achieve near-optimal compression; (ii) small changes in a single trade-off parameter account to a large extent for observed cross-language variation; (iii) efficient IB color-naming systems exhibit soft rather than ha

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Turg’unova Fazilat Rustam qizi. "LEXICAL AND GRAMMATICAL FEATURES OF GRAMMATICAL COMPRESSION IN ENGLISH AND UZBEK MASS MEDIA." Sciental Journal of Education Humanities and Social Sciences 3, no. 5 (2025): 5–9. https://doi.org/10.62536/sjehss.2025.v3.i5.pp5-9.

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This article explores the lexical and grammatical features of grammatical compression in English and Uzbek. The study focuses on methods of grammatical compression in the mass media of both languages, implemented through abbreviations, acronyms, and simplification of word combinations. In English, grammatical compression is primarily achieved through the use of abbreviations and acronyms, whereas in Uzbek it is more closely related to lexical reduction and the simplification of multi-word expressions. The article aims to analyze the significance of grammatical compression within the contexts o

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Stepanova, Z. B., and S. A. Iliina. "FEATURES OF LANGUAGE COMPRESSION IN MANGA." Социосфера / Sociosphere 8, no. 4 (2017): 125–27. http://dx.doi.org/10.24044/sph.2017.4.26.

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Konurbaev, Marklen E., and Elvira R. Ganeeva. "COMPRESSION IN SIMULTANEOUS INTERPRETING IN DIFFERENT TYPES OF DISCOURSE." Lomonosov Translation Studies Journal, no. 4, 2022 (May 30, 2023): 59–78. http://dx.doi.org/10.55959/msu2074-6636-22-2022-4-59-78.

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In modern translation studies, compression has come to be regarded as a linguistic operation, as a translation strategy. However, the cognitive process that underlies compression has not been taken into consideration. The authors believe that compression is based on selecting a functional equivalent to the source message, provided that the cultural concepts in both languages overlap. Th e article aims at studying compression pragmatically in various types of discourse in the process of simultaneous interpretation. To reach this goal the authors provide an overview of the previous research that

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Hong, Qi, and Xiao Lei Lu. "Study on Data Compression Algorithm Based on Semantic Analysis." Advanced Materials Research 842 (November 2013): 712–16. http://dx.doi.org/10.4028/www.scientific.net/amr.842.712.

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As a lossless data compression coding, Huffman coding is widely used in text compression. Nevertheless, the traditional approach has some deficiencies. For example, same compression on all characters may overlook the particularity of keywords and special statements as well as the regularity of some statements. In terms of this situation, a new data compression algorithm based on semantic analysis is proposed in this paper. The new kind of method, which takes C language keywords as the basic element, is created for solving the text compression of source files of C language. The results of exper

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Öztürk, Emir, and Altan Mesut. "Learning-based short text compression using BERT models." PeerJ Computer Science 10 (October 18, 2024): e2423. http://dx.doi.org/10.7717/peerj-cs.2423.

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Learning-based data compression methods have gained significant attention in recent years. Although these methods achieve higher compression ratios compared to traditional techniques, their slow processing times make them less suitable for compressing large datasets, and they are generally more effective for short texts rather than longer ones. In this study, MLMCompress, a word-based text compression method that can utilize any BERT masked language model is introduced. The performance of MLMCompress is evaluated using four BERT models: two large models and two smaller models referred to as “t

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A.F., Panteleev, Redkozubova E.A., and Agapova S.G. "Syntactic Compression in the Modern Russian Language." International Journal of Economics and Business Administration VII, Special Issue 1 (2019): 270–80. http://dx.doi.org/10.35808/ijeba/271.

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Rotman, Guy, Amir Feder, and Roi Reichart. "Model Compression for Domain Adaptation through Causal Effect Estimation." Transactions of the Association for Computational Linguistics 9 (2021): 1355–73. http://dx.doi.org/10.1162/tacl_a_00431.

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Abstract Recent improvements in the predictive quality of natural language processing systems are often dependent on a substantial increase in the number of model parameters. This has led to various attempts of compressing such models, but existing methods have not considered the differences in the predictive power of various model components or in the generalizability of the compressed models. To understand the connection between model compression and out-of-distribution generalization, we define the task of compressing language representation models such that they perform best in a domain ad

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DALEY, MARK, and IAN MCQUILLAN. "FORMAL MODELLING OF VIRAL GENE COMPRESSION." International Journal of Foundations of Computer Science 16, no. 03 (2005): 453–69. http://dx.doi.org/10.1142/s0129054105003091.

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The study of viruses in molecular genetics, as biological entities with extremely small genomes, and in medicine, as pathogens, represents an important area of inquiry with significant potential for improving scientific knowledge in both domains. One of the most fascinating genetic adaptations of viruses is the ability to compress their own genomes. We exposit here a formal model of gene compression in viruses and study its properties from a formal-language-theoretic standpoint. In addition to enumerating abstract properties of gene compression for infinite languages, we pay particular attenti

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Kashefi Khishan, Razieh, and Maryam Iraji. "Study of the Effects of Frequency on the Compression Process in Old and New Persian Dialogues in the Bybee Phonological Framework." JOURNAL OF ADVANCES IN LINGUISTICS 10 (October 5, 2019): 1576–99. http://dx.doi.org/10.24297/jal.v10i0.8453.

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The purpose of this research is an analytical analysis of the compression process (including deletion and merging) in old cinematic films compared to new cinematic films in Persian language. The old cinematic films selected for this study include two films, "Kaiser" and "Treasure of the Qaroon," and new cinematic films that examine two films," Life+1 Day "and “Lottery.” The theoretical framework has been used in Cognitive Phonology, Bybee (1999). The method of the present study is descriptive-analytical, and data collection is in library method. All the data has been pulled out from the dialou

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Istiqomah, Lilik, Yudi Hartanto, and Tika Fatmalasari. "Linguistic Compression in Saving Private Ryan Film in Indonesian Subtitle." PIONEER: Journal of Language and Literature 12, no. 2 (2020): 165. http://dx.doi.org/10.36841/pioneer.v12i2.736.

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This research aims to analyze the linguistic compression in the film Saving Private Ryan in the Indonesian subtitle on the speech acts. This research uses descriptive qualitative method. The source of data is the conversation among characters in the film Saving Private Ryan. Meanwhile, data of this research are the utterances or sentences in the subtitle of the movie which involve two different languages; English (Source Language) and Indonesian (Target Language). The finding shows that there are 22 data of illocutionary speech acts which are translated by using linguistic compression techniqu

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Rahman, Md Atiqur, and Mohamed Hamada. "Lossless text compression using GPT-2 language model and Huffman coding." SHS Web of Conferences 102 (2021): 04013. http://dx.doi.org/10.1051/shsconf/202110204013.

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Modern daily life activities produced lots of information for the advancement of telecommunication. It is a challenging issue to store them on a digital device or transmit it over the Internet, leading to the necessity for data compression. Thus, research on data compression to solve the issue has become a topic of great interest to researchers. Moreover, the size of compressed data is generally smaller than its original. As a result, data compression saves storage and increases transmission speed. In this article, we propose a text compression technique using GPT-2 language model and Huffman

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Amusa, Kamoli, Adeoluwawale Adewusi, Tolulope Erinosho, Sule Salawu, and David Odufejo. "On the application of wavelet transform and Huffman algorithm to Yorùbá language syntax text files compression." Serbian Journal of Electrical Engineering 19, no. 3 (2022): 351–68. http://dx.doi.org/10.2298/sjee2203351a.

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Most algorithms of data compression were developed with English language as target text syntax. However, this paper approaches the problem of Yor?b? text files compression via the use of Discrete Wavelet Transform (DWT) and Huffman algorithm. Text files in Yor?b? language syntax are first converted into signal format that are then decomposed using DWT. The decomposed ASCII code representation of the text files are subsequently encoded using Huffman algorithm. Twenty different variants of DWTs taken from four families of wavelet filters (Haar, Daubechies, Symlets and bi-orthogonal) are consider

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Priyono, Eko, and Hindayati Mustafidah. "Text Compression Using the Shannon-Fano, Huffman, and Half–Byte Algorithms." International Journal of Scientific Research and Management (IJSRM) 12, no. 09 (2024): 1422–27. http://dx.doi.org/10.18535/ijsrm/v12i09.ec01.

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Background and Objectives: File sizes increase as technology advances. Large files require more storage memory and longer transfer times. Data compression is changing an input or original data into another data stream as output or compressed data which is smaller in size. Existing compression techniques include the Huffman, Shannon-Fano, and Half-Byte algorithms. Like algorithms in computer science, these three algorithms offer advantages and disadvantages. Therefore, testing is needed to determine which algorithm is most effective for data compression, especially text data. Methods: Applying

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Sanket Dudhmande, Shivam Golliwar, Ameya Bhagwat, Ram Ghiya, and Archana Bhade. "Textual Compression Using Lamini-LM." International Research Journal on Advanced Engineering and Management (IRJAEM) 2, no. 05 (2024): 1536–40. http://dx.doi.org/10.47392/irjaem.2024.0208.

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In the age of digital overload, the ability to efficiently summarize large amount of text has become a critical capability. This project focuses on the development of a document summarization system that uses the power of the LaMini-LM model, a member of the Langchain family of large language models (LLMs). By using the natural language processing (NLP) techniques through the Langchain LLM technology it creates a robust and practical solution for automatically generating concise and informative summaries of text documents. The methodological approach of this project combines the strengths of N

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Clarke, James, and Mirella Lapata. "Discourse Constraints for Document Compression." Computational Linguistics 36, no. 3 (2010): 411–41. http://dx.doi.org/10.1162/coli_a_00004.

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Sentence compression holds promise for many applications ranging from summarization to subtitle generation. The task is typically performed on isolated sentences without taking the surrounding context into account, even though most applications would operate over entire documents. In this article we present a discourse-informed model which is capable of producing document compressions that are coherent and informative. Our model is inspired by theories of local coherence and formulated within the framework of integer linear programming. Experimental results show significant improvements over a

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Adubi, Stephen A., and Sanjay Misra. "Syllable-Based Text Compression: A Language Case Study." Arabian Journal for Science and Engineering 41, no. 8 (2016): 3089–97. http://dx.doi.org/10.1007/s13369-016-2070-1.

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Martínez-Prieto, Miguel A., Joaquín Adiego, and Pablo de la Fuente. "Natural Language Compression on Edge-Guided text preprocessing." Information Sciences 181, no. 24 (2011): 5387–411. http://dx.doi.org/10.1016/j.ins.2011.07.039.

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Zatloukal, Petr, and Martin Bernas. "Optimized H.264 compression of sign language video." Multimedia Tools and Applications 76, no. 15 (2016): 16225–37. http://dx.doi.org/10.1007/s11042-016-3905-1.

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Anisimov, Anatoly, and Igor Zavadskyi. "Space-time optimization in natural language text compression." Physico-Mathematical Modelling and Informational Technologies, no. 36 (July 1, 2023): 7–11. http://dx.doi.org/10.15407/fmmit2023.36.007.

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Baidoo, Peter Kwaku. "Comparative Analysis of the Compression of Text Data Using Huffman, Arithmetic, Run-Length, and Lempel Ziv Welch Coding Algorithms." Journal of Advances in Mathematics and Computer Science 38, no. 9 (2023): 144–56. http://dx.doi.org/10.9734/jamcs/2023/v38i91812.

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The purpose of the study was to compare the compression ratios of file size, file complexity, and time used in compressing each text file in the four selected compression algorithms on a given modern computer running Windows 7. The researcher used the Java programming language on the NetBeans development environment to create user-friendly user interfaces that displayed both the content being compressed and the output generated by the compression. A purposive sampling technique was used to select text files with varying complexities from the Google data store, as well as other text documents d

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Ganesh, Prakhar, Yao Chen, Xin Lou, et al. "Compressing Large-Scale Transformer-Based Models: A Case Study on BERT." Transactions of the Association for Computational Linguistics 9 (2021): 1061–80. http://dx.doi.org/10.1162/tacl_a_00413.

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Abstract Pre-trained Transformer-based models have achieved state-of-the-art performance for various Natural Language Processing (NLP) tasks. However, these models often have billions of parameters, and thus are too resource- hungry and computation-intensive to suit low- capability devices or applications with strict latency requirements. One potential remedy for this is model compression, which has attracted considerable research attention. Here, we summarize the research in compressing Transformers, focusing on the especially popular BERT model. In particular, we survey the state of the art

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Turner, Mark. "Compression and representation." Language and Literature: International Journal of Stylistics 15, no. 1 (2006): 17–27. http://dx.doi.org/10.1177/0963947006060550.

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Mental spaces are often connected by vital conceptual relations. When mental spaces serve as inputs to a blended mental space, the vital conceptual relations between them can be ‘compressed’ to blended structure inside the blended mental space. In other words, ‘outer-space’ relations become ‘inner-space’ relations. This article discusses compression of the outer-space relation of representation under mental blending.

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Zhang, Kaixiong, Yongbing Zhang, Zhengtao Yu, Yuxin Huang, and Kaiwen Tan. "A two-stage fine-tuning method for low-resource cross-lingual summarization." Mathematical Biosciences and Engineering 21, no. 1 (2023): 1125–43. http://dx.doi.org/10.3934/mbe.2024047.

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<abstract><p>Cross-lingual summarization (CLS) is the task of condensing lengthy source language text into a concise summary in a target language. This presents a dual challenge, demanding both cross-language semantic understanding (i.e., semantic alignment) and effective information compression capabilities. Traditionally, researchers have tackled these challenges using two types of methods: pipeline methods (e.g., translate-then-summarize) and end-to-end methods. The former is intuitive but prone to error propagation, particularly for low-resource languages. The later has shown a

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Korovkina, Marina. "Simultaneous Interpreter Professional Competence in a Cognitive and Discursive Paradigm." Vestnik Volgogradskogo gosudarstvennogo universiteta. Serija 2. Jazykoznanije 23, no. 2 (2024): 158–71. http://dx.doi.org/10.15688/jvolsu2.2024.2.12.

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The paper presents a simultaneous interpreter professional competence that consists of three components – communicative, extralinguistic and procedural or specialized (sub)competences. It is focused on the third component, which includes the abilities of inferencing, probabilistic forecasting and compression, specifically required for simultaneous interpreting (SI). Inferencing is a two-staged process of retrieving assumptions with regards to composing invariant senses, which means deriving inferences of the message in the source language (SL) and generating implicatures in the target language

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Muttalib, Surya Abdul, Nursigit Bintoro, Joko Nugroho Wahyu Karyadi, and Arifin Dwi Saputro. "Development of Device for Pressure Control System in a Freezer of Pressed-Plate Type." Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) 12, no. 1 (2023): 139. http://dx.doi.org/10.23960/jtep-l.v12i1.139-151.

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The process of freezing foodstuffs can be done by using a cold metal plate that is in contact with the frozen material (contact plate freezing). The magnitude of contact Force Compressive applied needs to be controlled so as not to damage the frozen material. The purpose of this study was to develop and evaluate the performance of a Force Compression control system on a contact plate freezer. The Force Compression control system was composed of a load cell mounted on a Force Compression device, connected to a set of controllers consisting of an HX711 module, ATM Mega Arduino and a computer usi

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Yemelyanova, Olena, Mariia Titareva, and Tetiana Popova. "THE PECULARITIES OF SEMANTIC COMPRESSION IMPLEMENTATION IN POPULAR ENGLISH TALK SHOWS." Research Bulletin Series Philological Sciences 1, no. 193 (2021): 127–33. http://dx.doi.org/10.36550/2522-4077-2021-1-193-127-133.

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The article deals with the analysis of semantic compression application in popular English talk shows. The purpose of this paper is to define language compression, to outline the expediency of its use in English media discourse, to name ways of compression implementation in popular talk shows and to consider the level of influence of principle of linguistic efforts economy on achieving communicative goals between interlocutors. Basic information on the concept of linguistic compression and features of its use at different language levels, in particular phonetic, morphological, lexical, semanti

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Saad, Mootez, José Antonio Hernández López, Boqi Chen, Dániel Varró, and Tushar Sharma. "An Adaptive Language-Agnostic Pruning Method for Greener Language Models for Code." Proceedings of the ACM on Software Engineering 2, FSE (2025): 1183–204. https://doi.org/10.1145/3715773.

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Language models of code have demonstrated remarkable performance across various software engineering and source code analysis tasks. However, their demanding computational resource requirements and consequential environmental footprint remain as significant challenges. This work introduces ALPINE, an adaptive programming language-agnostic pruning technique designed to substantially reduce the computational overhead of these models. The proposed method offers a pluggable layer that can be integrated with all Transformer-based models. With ALPINE, input sequences undergo adaptive compression thr

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Alexander, Jill, James Selfe, Olivia Greenhalgh, and David Rhodes. "Cryotherapy and compression in sports injury management: a scoping review." International Journal of Therapy and Rehabilitation 28, no. 10 (2021): 1–19. http://dx.doi.org/10.12968/ijtr.2020.0141.

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Background/Aims For the management of sports injury, cryotherapy is commonly applied, yet modalities differ extensively in application including levels of compression. The aim of this study was to provide a comprehensive review of the current position in the literature on contemporary cryo-compression applications for musculoskeletal sports injury management. Methods A total of eight databases were searched: Sport Discus, Science Direct, CINHAL, Scopus, PubMed, Cochrane, ProQuest and MEDLINE. Publications were restricted to 30 years and had to be in the English language. Medical subject headin

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Панченко, Елена Ивановна. "КРАТКОСТЬ, КОМПРЕССИЯ, РЕДУКЦИЯ – ОБЩЕЕ И ОТЛИЧНОЕ". Русская филология: Вестник Харьковского национального педагогического университета имени Г.С. Сковороды, № 56 (4 квітня 2016): 24–27. https://doi.org/10.5281/zenodo.48882.

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<em>The article  under consideration discusses lingual phenomena, allowing the emergence of language in compressed texts. The relevance of the study of this problem is related to the prevalence of compressed texts in all areas of speech activity. </em><em>Compression is a fundamental goal of both human language and digital communication. </em><em>The aim of the article is to clarify the notions, signifying a particular manifestation of the language economy − brevity, compression, reduction. To achieve this goal it is necessary to analyze the theoretical coverage and practical implem

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Grzymala-Busse, Jerzy W., and Soe Than. "Data compression in machine learning applied to natural language." Behavior Research Methods, Instruments, & Computers 25, no. 2 (1993): 318–21. http://dx.doi.org/10.3758/bf03204518.

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Zhu, Xunyu, Jian Li, Yong Liu, Can Ma, and Weiping Wang. "A Survey on Model Compression for Large Language Models." Transactions of the Association for Computational Linguistics 12 (2024): 1556–77. https://doi.org/10.1162/tacl_a_00704.

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Abstract Large Language Models (LLMs) have transformed natural language processing tasks successfully. Yet, their large size and high computational needs pose challenges for practical use, especially in resource-limited settings. Model compression has emerged as a key research area to address these challenges. This paper presents a survey of model compression techniques for LLMs. We cover methods like quantization, pruning, and knowledge distillation, highlighting recent advancements. We also discuss benchmarking strategies and evaluation metrics crucial for assessing compressed LLMs. This sur

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Grachev, Artem M., Dmitry I. Ignatov, and Andrey V. Savchenko. "Compression of recurrent neural networks for efficient language modeling." Applied Soft Computing 79 (June 2019): 354–62. http://dx.doi.org/10.1016/j.asoc.2019.03.057.

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Gupta, Ashutosh, and Suneeta Agarwal. "A fast dynamic compression scheme for natural language texts." Computers & Mathematics with Applications 60, no. 12 (2010): 3139–51. http://dx.doi.org/10.1016/j.camwa.2010.10.019.

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Ibrahim Akman, K. "A new text compression technique based on language structure." Journal of Information Science 21, no. 2 (1995): 87–94. http://dx.doi.org/10.1177/016555159502100203.

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Vinodchandran, N. V., and Marius Zimand. "On Optimal Language Compression for Sets in PSPACE/poly." Theory of Computing Systems 56, no. 3 (2014): 581–90. http://dx.doi.org/10.1007/s00224-014-9535-y.

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Katz, Jonah. "Compression effects in English." Journal of Phonetics 40, no. 3 (2012): 390–402. http://dx.doi.org/10.1016/j.wocn.2012.02.004.

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Vyacheslav, Shovkovy, and Kateryna Kirutsak. "TEACHING INTEGRATED LISTENING AND INFORMATION COMPRESSION TO 5TH-GRADE SCHOOLERS IN A UKRAINIAN LANGUAGE CLASSROOM." АRS LINGUODIDACTICAE, no. 10 (2) (2022): 18–31. http://dx.doi.org/10.17721/2663-0303.2022.2.02.

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Background: Well-developed listening skills of schoolchildren are significant for native language acquisition since these skills contribute to building the ability of perceiving, processing and transforming information in various communicative situations. The successful mastering of processing and transformation of information is a complex process which is affected by several cognitive factors: intelligence, reaction time, memory, attention span, and the ability to switch between different mental operations. One of the ways of transforming information is its compression. Teaching this skill in

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Liskavets, Barys, Maxim Ushakov, Shuvendu Roy, Mark Klibanov, Ali Etemad, and Shane K. Luke. "Prompt Compression with Context-Aware Sentence Encoding for Fast and Improved LLM Inference." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 23 (2025): 24595–604. https://doi.org/10.1609/aaai.v39i23.34639.

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Large language models (LLMs) have triggered a new stream of research focusing on compressing the context length to reduce the computational cost while ensuring the retention of helpful information for LLMs to answer the given question. Token-based removal methods are one of the most prominent approaches in this direction, but risk losing the semantics of the context caused by intermediate token removal, especially under high compression ratios, while also facing challenges in computational efficiency. In this work, we propose context-aware prompt compression (CPC), a sentence-level prompt comp

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Temirova, Dzhannet Alibulatovna. "SYNTACTIC COMPRESSION IN SINGLISH SMS (BASED ON THE CORPUS NUS SMS)." Litera, no. 6 (June 2022): 239–46. http://dx.doi.org/10.25136/2409-8698.2022.6.38066.

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Traditionally, the compression of language is considered as a result of the linguistic economy law and attracts more and more attention of linguists as the opposite of the expansion of language phenomenon. The article provides an overview of the syntactic compression in Singlish SMS. SMS of 2004 and 2012 from the National University of Singapore corpus NUS SMS were taken as the basic material for the analysis. English plays a key role in Singapore, and therefore possible changes at the syntactic language level become worthy of study due to the impact of the economy principle in conditions of a

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