| 1. |
- Cap, Fabienne, et al.
(författare)
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SWORD : Towards Cutting-Edge Swedish Word Processing
- 2016
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Ingår i: Proceedings of SLTC 2016.
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Konferensbidrag (refereegranskat)abstract
- Despite many years of research on Swedish language technology, there is still no well-documented standard for Swedish word processing covering the whole spectrum from low-level tokenization to morphological analysis and disambiguation. SWORD is a new initiative within the SWE-CLARIN consortium aiming to develop documented standards for Swedish word processing. In this paper, we report on a pilot study of Swedish tokenization, where we compare the output of six different tokenizers on four different text types. For one text type (Wikipedia articles), we also compare to the tokenization produced by six manual annotators.
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| 2. |
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| 3. |
- Eldén, Lars, et al.
(författare)
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Computing Semantic Clusters by Semantic Mirroring and Spectral Graph Partitioning
- 2013
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Ingår i: Mathematics in Computer Science. - Basel : Springer. - 1661-8270 .- 1661-8289. ; 7, s. 293-313
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Tidskriftsartikel (refereegranskat)abstract
- Using the technique of semantic mirroring a graph is obtained that represents words and their translationsfrom a parallel corpus or a bilingual lexicon. The connectedness of the graph holds information about the semanticrelations of words that occur in the translations. Spectral graph theory is used to partition the graph, which leadsto a grouping of the words in different clusters. We illustrate the method using a small sample of seed words froma lexicon of Swedish and English adjectives and discuss its application to computational lexical semantics andlexicography.
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| 4. |
- Fagerlund, Martin, et al.
(författare)
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Computing Word Senses by Semantic Mirroring and Spectral Graph Partitioning
- 2010
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Ingår i: Proceedings of TextGraphs-5 - 2010 Workshop on Graph-based Methods for Natural Language Processing. - Stroudsburg, PA, USA : The Association for Computational Linguistics. - 9781932432770 - 1932432779 ; , s. 103-107
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Konferensbidrag (refereegranskat)abstract
- Using the technique of ”semantic mirroring”a graph is obtained that representswords and their translations from a parallelcorpus or a bilingual lexicon. The connectednessof the graph holds informationabout the different meanings of words thatoccur in the translations. Spectral graphtheory is used to partition the graph, whichleads to a grouping of the words accordingto different senses. We also report resultsfrom an evaluation using a small sample ofseed words from a lexicon of Swedish andEnglish adjectives.
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| 5. |
- Ahrenberg, Lars, 1948-, et al.
(författare)
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A knowledge-lite approach to word alignment
- 2000
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Ingår i: Parallel Text Processing. - Dordrecht, The Netherlands : Kluwer Academic Publishers. - 9789048155552 - 9789401725354 ; , s. 97-116
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Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- The most promising approach to word alignment is to combine statistical methods with non-statistical information sources. Some of the proposed non-statistical sources, including bilingual dictionaries, POS-taggers and lemmatizers, rely on considerable linguistic knowledge, while other knowledge-lite sources such as cognate heuristics and word order heuristics can be implemented relatively easy. While knowledge-heavy sources might be expected to give better performance, knowledge-lite systems are easier to port to new language pairs and text types, and they can give sufficiently good results for many purposes, e.g. if the output is to be used by a human user for the creation of a complete word-aligned bitext. In this paper we describe the current status of the Linköping Word Aligner (LWA), which combines the use of statistical measures of co-occurrence with four knowledge-lite modules for (i)) word categorization, (ii) morphological variation, (iii) word order, and (iv) phrase recognition. We demonstrate the portability of the system (from English-Swedish texts to French-English texts) and present results for these two language-pairs. Finally, we will report observations from an error analysis of system output, and identify the major strengths and weaknesses of the system.
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| 6. |
- Ahrenberg, Lars and Merkel, Magnus and Ridings, Daniel and Sågvall Hein, Anna and Tiedemann, Jörg
(författare)
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Automatic processing of parallel corpora: A Swedish perspective.
- 1999
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- As empirical methods have come to the fore in language technology and translation studies, the processing of parallel texts and parallel corpora have become a major issue. In this article we review the state of the art in alignment and data extraction tec
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| 7. |
- Ahrenberg, Lars, 1948-, et al.
(författare)
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A New Gold Standard for Swedish NERC
- 2019
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Ingår i: Proceedings of the CLARIN Annual Conference 2019. - : CLARIN. ; , s. 112-115
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Konferensbidrag (refereegranskat)abstract
- Starting in 2018 Swe-Clarin members are working cross-instituionally on special themes. In thispaper we report ongoing work in a project aimed at the creation of a new gold standard forSwedish Named-Entity Recognition and Categorisation. In contrast to previous efforts the newresource will contain data from both social media and edited text. The resource will be madefreely available through Spr ̊akbankenText
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| 8. |
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| 9. |
- Ahrenberg, Lars, 1948-, et al.
(författare)
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A Simple Hybrid Aligner for Generating Lexical Correspondences in Parallel Texts
- 1998
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Ingår i: <em>Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics (COLING-ACL'98) Montreal, August 10-14, 1998</em>. - Stroudsburg, PA, USA : The Association for Computational Linguistics. ; , s. 29-35
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Konferensbidrag (refereegranskat)
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| 10. |
- Ahrenberg, Lars, et al.
(författare)
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A System for Incremental and Interactive Word Linking
- 2002
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Ingår i: In Third International Conference on Language Resources and Evaluation (LREC 2002), Las Palmas, 29-31 May 2002.. - : European Language Resources Association (ELRA). ; , s. 485-490
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Konferensbidrag (refereegranskat)abstract
- Aligned parallel corpora constitute a critical information resource for a great number of linguistic and technological endeavors. Automatic sentence alignment has reached a level whereby large parallel documents can be fully aligned with the aid of interactive post-editing tools. Word alignment systems have not yet reached the same level of performance, but are good enough to support full word alignment if embedded in an interactive system. In this paper we describe a system for fast and accurate word alignment currently under development at our department, where the user can review and improve the output from an automatic system in an incremental fashion.
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