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Unsupervised cross-lingual representation modeling for variable length phrases ; Apprentissage de représentations cross-lingue d’expressions de longueur variable
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In: https://hal.archives-ouvertes.fr/tel-02938554 ; Computation and Language [cs.CL]. Université de Nantes, 2020. English (2020)
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Implementation of Supervised Training Approaches for Monolingual Word Sense Alignment: ACDH-CH System Description for the MWSA Shared Task at GlobaLex 2020 ...
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Implementation of Supervised Training Approaches for Monolingual Word Sense Alignment: ACDH-CH System Description for the MWSA Shared Task at GlobaLex 2020 ...
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Scalable and Language-Independent Embedding-based Approach for Plagiarism Detection Considering Obfuscation Type: No Training Phase
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Empirical Evaluation of Sequence-to-Sequence Models for Word Discovery in Low-resource Settings
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In: Interspeech 2019 ; https://hal.archives-ouvertes.fr/hal-02193867 ; Interspeech 2019, Sep 2019, Graz, Austria (2019)
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Unsupervised word discovery for computational language documentation ; Découverte non-supervisée de mots pour outiller la linguistique de terrain
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In: https://tel.archives-ouvertes.fr/tel-02286425 ; Artificial Intelligence [cs.AI]. Université Paris Saclay (COmUE), 2019. English. ⟨NNT : 2019SACLS062⟩ (2019)
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Neural Baselines for Word Alignments
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In: International Workshop on Spoken Language Translation ; https://hal.archives-ouvertes.fr/hal-02343217 ; International Workshop on Spoken Language Translation, Nov 2019, Hong-Kong, China ; https://zenodo.org/communities/iwslt2019/ (2019)
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Punctuation and Parallel Corpus Based Word Embedding Model for Low-Resource Languages
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In: Information ; Volume 11 ; Issue 1 (2019)
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Phonologically Informed Edit Distance Algorithms for Word Alignment with Low-Resource Languages
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In: Proceedings of the Society for Computation in Linguistics (2018)
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A resource-light method for cross-lingual semantic textual similarity
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Similitud español-inglés a través de word embeddings ; Spanish-English similarity through word embeddings
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Gesture-speech temporal integration in language development
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In: TDX (Tesis Doctorals en Xarxa) (2017)
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Crossing the Border Twice: Reimporting Prepositions to Alleviate L1-Specific Transfer Errors
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In: Graën, Johannes; Schneider, Gerold (2017). Crossing the Border Twice: Reimporting Prepositions to Alleviate L1-Specific Transfer Errors. In: Joint 6th Workshop on NLP for Computer Assisted Language Learning and 2nd Workshop on NLP for Research on Language Acquisition, Gothenburg, 22 May 2017 - 22 May 2017, 18-26. (2017)
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Abstract:
We present a data-driven approach which exploits word alignment in a large parallel corpus with the objective of identifying those verb- and adjective-preposition combinations which are difficult for L2 language learners. This allows us, on the one hand, to provide language-specific ranked lists in order to help learners to focus on particularly challenging combinations given their native language (L1). On the other hand, we provide extensive statistics on such combinations with the objective of facilitating automatic error correction for preposition use in learner texts. We evaluate these lists, first manually, and secondly automatically by applying our statistics to an error-correction task.
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Keyword:
000 Computer science; 410 Linguistics; ; error correction; ; L1 transfer; ; learner errors; ; verb-preposition constructions; ; word alignment; Institute of Computational Linguistics; knowledge & systems; parallel corpora
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URL: https://www.zora.uzh.ch/id/eprint/137099/ https://www.zora.uzh.ch/id/eprint/137099/1/ecp17134003.pdf https://doi.org/10.5167/uzh-137099 http://www.ep.liu.se/ecp/article.asp?issue=134&article=003
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Induction de lexiques bilingues à partir de corpus comparables et parallèles
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Confidence Measures for Alignment and for Machine Translation ; Mesures de Confiance pour l’Alignement et pour la Traduction Automatique
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In: https://tel.archives-ouvertes.fr/tel-01399222 ; Signal and Image Processing. Université Paris Saclay (COmUE), 2016. English. ⟨NNT : 2016SACLS270⟩ (2016)
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