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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 10 of 10 1 Universal Segmentations 1.0 (UniSegments 1.0) Žabokrtský, Zdeněk; Bafna, Nyati; Bodnár, Jan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2022 BASE Show details 2 Findings of the IWSLT 2020 Evaluation campaign Niehues, Jan; Federico, Marcello; Ma, Xutai. - : Association for Computational Linguistics, 2022 BASE Show details 3 ELITR Multilingual Live Subtitling: Demo and Strategy ... Bojar, Ondřej; Macháček, Dominik; Sagar, Sangeet. - : ACL Anthology, 2021 BASE Show details 4 LSCP: Enhanced Large Scale Colloquial Persian Language Understanding Abdi Khojasteh, Hadi; Ansari, Ebrahim; Bohlouli, Mahdi In: Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020) ; 12th Language Resources and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-02628956 ; 12th Language Resources and Evaluation Conference, European Language Resources Association, May 2020, Marseille, France. pp.6323-6327 ; https://www.aclweb.org/anthology/2020.lrec-1.776/ (2020) BASE Show details 5 Deep Multimodal Image-Text Embeddings for Automatic Cross-Media Retrieval Abdi Khojasteh, Hadi; Ansari, Ebrahim; Razzaghi, Parvin... In: https://hal.archives-ouvertes.fr/hal-02629069 ; 2020 (2020) BASE Show details 6 Large-Scale Colloquial Persian 0.5 Abdi Khojasteh, Hadi; Ansari, Ebrahim; Bohlouli, Mahdi. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2020. : Institute for Advanced Studies in Basic Sciences (IASBS), 2020 BASE Show details 7 Findings of the IWSLT 2020 Evaluation campaign ... Ansari, Ebrahim; Axelrod, Amittai; Bach, Nguyen. - : Association for Computational Linguistics, 2020 BASE Show details 8 Persian Morphologically Segmented Lexicon 0.5 Ansari, Ebrahim; Žabokrtský, Zdeněk; Haghdoost, Hamid. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2019 BASE Show details 9 Using English as Pivot to Extract Persian-Italian Parallel Sentences from Non-Parallel Corpora ... Ansari, Ebrahim; Sadreddini, M. H.; Sheikhalishahi, Mostafa. - : arXiv, 2017 BASE Show details 10 Extracting Bilingual Persian Italian Lexicon from Comparable Corpora Using Different Types of Seed Dictionaries ... Ansari, Ebrahim; Sadreddini, M. H.; Grandinetti, Lucio; Radinmehr, Mahsa; Khosravan, Ziba; Sheikhalishahi, Mehdi. - : arXiv, 2017 Abstract: Bilingual dictionaries are very important in various fields of natural language processing. In recent years, research on extracting new bilingual lexicons from non-parallel (comparable) corpora have been proposed. Almost all use a small existing dictionary or other resources to make an initial list called the "seed dictionary". In this paper, we discuss the use of different types of dictionaries as the initial starting list for creating a bilingual Persian-Italian lexicon from a comparable corpus. Our experiments apply state-of-the-art techniques on three different seed dictionaries; an existing dictionary, a dictionary created with pivot-based schema, and a dictionary extracted from a small Persian-Italian parallel text. The interesting challenge of our approach is to find a way to combine different dictionaries together in order to produce a better and more accurate lexicon. In order to combine seed dictionaries, we propose two different combination models and examine the effect of our novel combination ... : 16 pages, accepted to be published in "Applications of Comparable Corpora", Berlin: Language Science Press ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.1701.08340 https://arxiv.org/abs/1701.08340 BASE Hide details

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