| 1. |
- Andréasson, Maia, et al.
(författare)
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Swedish CLARIN Activities
- 2009
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Ingår i: Proceedings of the NODALIDA 2009 workshop Nordic Perspectives on the CLARIN Infrastructure of Language Resources. - : Northern European Association for Language Technology (NEALT). ; , s. 1-5
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Konferensbidrag (refereegranskat)abstract
- Although Sweden has yet to allocate funds specifically intended for CLARIN activities, there are some ongoing activities which are directly relevant to CLARIN, and which are explicitly linked to CLARIN. These activities have been funded by the Committee for Research Infrastructures and its subcommittee DISC (Database Infrastructure Committee) of the Swedish Research Council.
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| 2. |
- Baró, Arnau, et al.
(författare)
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Towards a Generic Unsupervised Method for Transcription of Encoded Manuscripts
- 2019
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Ingår i: Proceedings of the 3rd International Conference on Digital Access to Textual Cultural Heritage. - New York : ACM. - 9781450371940
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Konferensbidrag (refereegranskat)abstract
- Historical ciphers, a special type of manuscripts, contain encrypted information, important for the interpretation of our history. The first step towards decipherment is to transcribe the images, either manually or by automatic image processing techniques. Despite the improvements in handwritten text recognition (HTR) thanks to deep learning methodologies, the need of labelled data to train is an important limitation. Given that ciphers often use symbol sets across various alphabets and unique symbols without any transcription scheme available, these supervised HTR techniques are not suitable to transcribe ciphers. In this paper we propose an unsupervised method for transcribing encrypted manuscripts based on clustering and label propagation, which has been successfully applied to community detection in networks. We analyze the performance on ciphers with various symbol sets, and discuss the advantages and drawbacks compared to supervised HTR methods.
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| 3. |
- Borin, Lars, et al.
(författare)
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Swe-Clarin : Language Resources and Technology for Digital Humanities
- 2016
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Ingår i: <em>Extended Papers of the International Symposium on Digital Humanities</em>. - : CEUR. ; , s. 29-51, s. 29-51
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Konferensbidrag (refereegranskat)abstract
- CLARIN is a European Research Infrastructure Consortium (ERIC), which aims at (a) making extensive language-based materials available as primary research data to the humanities and social sciences (HSS); and (b) offering state-of-the-art language technology (LT) as an eresearch tool for this purpose, positioning CLARIN centrally in what is often referred to as the digital humanities (DH). The Swedish CLARIN node Swe-Clarin was established in 2015 with funding from the Swedish Research Council.In this paper, we describe the composition and activities of Swe-Clarin, aiming at meeting the requirements of all HSS and other researchers whose research involves using text and speech as primary research data, and spreading the awareness of what Swe-Clarin can offer these research communities. We focus on one of the central means for doing this: pilot projects conducted in collaboration between HSS researchers and Swe-Clarin, together formulating a research question, the addressing of which requires working with large language-based materials. Four such pilot projects are described in more detail, illustrating research on rhetorical history, second-language acquisition, literature, and political science. A common thread to these projects is an aspiration to meet the challenge of conducting research on the basis of very large amounts of textual data in a consistent way without losing sight of the individual cases making up the mass of data, i.e., to be able to move between Moretti’s “distant” and “close reading” modes.While the pilot projects clearly make substantial contributions to DH, they also reveal some needs for more development, and in particular a need for document-level access to the text materials. As a consequence of this, work has now been initiated in Swe-Clarin to meet this need, so that Swe-Clarin together with HSS scholars investigating intricate research questions can take on the methodological challenges of big-data language-based digital humanities.
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| 4. |
- Chen, Jialuo, et al.
(författare)
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A Web-based Interactive Transcription Tool for Encrypted Manuscripts
- 2020
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Ingår i: Proceedings of the 3rd International Conference on Historical Cryptology HistoCrypt 2020. - Linköping : Linköping University Electronic Press.
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Konferensbidrag (refereegranskat)abstract
- Manual transcription of handwritten text is a time consuming task. In the case of encrypted manuscripts, the recognition is even more complex due to the huge variety of alphabets and symbol sets. To speed up and ease this process, we present a web-based tool aimed to (semi)-automatically transcribe the encrypted sources. The user uploads one or several images of the desired encrypted document(s) as input, and the system returns the transcription(s). This process is carried out in an interactive fashion with the user to obtain more accurate results. For discovering and testing, the developed web tool is freely available 1 .
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| 5. |
- Chen, Jialuo, et al.
(författare)
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Unsupervised Alphabet Matching in Historical Encrypted Manuscript Images
- 2021
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Ingår i: Proceedings of the 4th International Conference on Historical Cryptology HistoCrypt 2021. - : Linköping University Electronic Press.
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Konferensbidrag (refereegranskat)abstract
- Historical ciphers contain a wide range of symbols from various symbol sets. Identifying the cipher alphabet is a prerequisite before decryption can take place and is a time-consuming process. In this work we explore the use of image processing for identifying the underlying alphabet in cipher images, and to compare alphabets between ciphers. The experiments show that ciphers with similar alphabets can be successfully discovered through clustering.
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| 6. |
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| 7. |
- Csató, Éva Ágnes, 1948-, et al.
(författare)
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Parallel corpora and Universal Dependencies for Turkic
- 2015
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Ingår i: Turkic languages. - Wiesbaden. - 1431-4983. ; 19:2, s. 259-273
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Tidskriftsartikel (refereegranskat)abstract
- The first part of this paper presents ongoing work on Turkic parallel corpora at the De- partment of Linguistics and Philology, Uppsala University. Moreover, examples are given of how the Swedish-Turkish-English corpus is used in teaching Turkish and in compara- tive linguistic studies. The second part deals with the annotation scheme Universal De- pendencies (UD) used in treebanks, and its application to Turkic languages.
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| 8. |
- Csató, Éva Ágnes, 1948-, et al.
(författare)
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Using Parallel Corpora in Data-Driven Teaching of Turkish in Sweden.
- 2010
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Konferensbidrag (refereegranskat)abstract
- The paper demonstrates how data-driven learning methods are applied in teaching Turkish as a foreign language at the Department of Linguistics and Philology, Uppsala University. In data-driven teaching, language corpora, concordance programs, and annotation tools developed in collaboration with computational linguists are employed. This paper illustrates how resources developed initially for research purposes in different subjects (such as Computational Linguistics, Linguistics, Turkic languages), are now being used in teaching environments.We present the Swedish-Turkish parallel corpus providing students and researchers with easily accessible annotated linguistic data. The web-based corpora can be used both by regular and distance students. They function also as learning tools for formulating and testing hypotheses concerning lexical, morphological and syntactic aspects of Turkish. Furthermore, they help the students to practice contrastive studies and translation between Swedish and Turkish.
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| 9. |
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| 10. |
- Gambardell, Maria Elena, et al.
(författare)
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Identifying Cleartext in Historical Ciphers
- 2022
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Ingår i: <em>Proceedings of the Workshop on Language Technologies for Historical and Ancient Languages</em>. LT4HALA 2022.. - 9791095546788
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Konferensbidrag (refereegranskat)abstract
- In historical encrypted sources we can find encrypted text sequences, also called ciphertext, as well as non-encrypted cleartexts written in a known language. While most of the cryptanalysis focuses on the decryption of ciphertext, cleartext is often overlooked although it can give us important clues about the historical interpretation and contextualisation of the manuscript. In this paper, we investigate to what extent we can automatically distinguish cleartext from ciphertext in historical ciphers and to what extent we are able to identify its language. The problem is challenging as cleartext sequences in ciphers are often short, up to a few words, in different languages due to historical code-switching. To identify the sequences and the language(s), we chose a rule-based approach and run 7 different models using historical language models on various ciphertexts.
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