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Translating pro-drop languages with reconstruction models
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In: Wang, Longyue orcid:0000-0002-9062-6183 , Tu, Zhaopeng, Shi, Shuming, Zhang, Tong, Graham, Yvette and Liu, Qun orcid:0000-0002-7000-1792 (2018) Translating pro-drop languages with reconstruction models. In: 32nd AAAI Conference on Artificial Intelligence (AAAI 2018), 2 - 7 Feb 2018, New Orleans, LA, USA. ISBN 978-1-57735-800-8 (2018)
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Le pronom y accusatif en français régional et dans les dialectes galloromans ; Le pronom y accusatif en français régional et dans les dialectes galloromans: Histoire et géographie
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In: ISSN: 0378-4169 ; EISSN: 1569-9927 ; Lingvisticae Investigationes ; https://hal.archives-ouvertes.fr/hal-03321389 ; Lingvisticae Investigationes, Philadelphia; Amsterdam: John Benjamins, 2018, 41 (1), pp.63 - 87. ⟨10.1075/li.00013.ava⟩ (2018)
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The Relation between Pronouns and Definites. Evidence from First Language Acquisition ...
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Įvardžių kaitybos aspektai pietų aukštaičių patarmės salose Baltarusijoje ; Aspects of pronoun inflection in the islands of the Southern Aukštaitian subdialect in Belarus
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In: Kalbos istorijos ir dialektologijos problemos 5, Vilnius : Lietuvių kalbos institutas, 2018, p. 209-228 ; ISBN 9786094112249 (2018)
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Įvardžių kaitybos aspektai pietų aukštaičių patarmės salose Baltarusijoje ; Aspects of pronoun inflection in the islands of the Southern Aukštaitian subdialect in Belarus
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In: Kalbos istorijos ir dialektologijos problemos 5, Vilnius : Lietuvių kalbos institutas, 2018, p. 209-228 ; ISBN 9786094112249 (2018)
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From Heo to Zir : A History of Gender Expression in the English Language
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In: Senior Honors Theses (2018)
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The morphology of first-person object forms of directional verbs in ASL
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In: Glossa: a journal of general linguistics; Vol 3, No 1 (2018); 114 ; 2397-1835 (2018)
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A Dual-Process Activation Model: Processing definiteness and information status
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In: Glossa: a journal of general linguistics; Vol 3, No 1 (2018); 108 ; 2397-1835 (2018)
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Entity-based coherence in statistical machine translation: a modelling and evaluation perspective
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Abstract:
Natural language documents exhibit coherence and cohesion by means of interrelated structures both within and across sentences. Sentences do not stand in isolation from each other and only a coherent structure makes them understandable and sound natural to humans. In Statistical Machine Translation (SMT) only little research exists on translating a document from a source language into a coherent document in the target language. The dominant paradigm is still one that considers sentences independently from each other. There is both a need for a deeper understanding of how to handle specific discourse phenomena, and for automatic evaluation of how well these phenomena are handled in SMT. In this thesis we explore an approach how to treat sentences as dependent on each other by focussing on the problem of pronoun translation as an instance of a discourse-related non-local phenomenon. We direct our attention to pronoun translation in the form of cross-lingual pronoun prediction (CLPP) and develop a model to tackle this problem. We obtain state-of-the-art results exhibiting the benefit of having access to the antecedent of a pronoun for predicting the right translation of that pronoun. Experiments also showed that features from the target side are more informative than features from the source side, confirming linguistic knowledge that referential pronouns need to agree in gender and number with their target-side antecedent. We show our approach to be applicable across the two language pairs English-French and English-German. The experimental setting for CLPP is artificially restricted, both to enable automatic evaluation and to provide a controlled environment. This is a limitation which does not yet allow us to test the full potential of CLPP systems within a more realistic setting that is closer to a full SMT scenario. We provide an annotation scheme, a tool and a corpus that enable evaluation of pronoun prediction in a more realistic setting. The annotated corpus consists of parallel documents translated by a state-of-the-art neural machine translation (NMT) system, where the appropriate target-side pronouns have been chosen by annotators. With this corpus, we exhibit a weakness of our current CLPP systems in that they are outperformed by a state-of-the-art NMT system in this more realistic context. This corpus provides a basis for future CLPP shared tasks and allows the research community to further understand and test their methods. The lack of appropriate evaluation metrics that explicitly capture non-local phenomena is one of the main reasons why handling non-local phenomena has not yet been widely adopted in SMT. To overcome this obstacle and evaluate the coherence of translated documents, we define a bilingual model of entity-based coherence, inspired by work on monolingual coherence modelling, and frame it as a learning-to-rank problem. We first evaluate this model on a corpus where we artificially introduce coherence errors based on typical errors CLPP systems make. This allows us to assess the quality of the model in a controlled environment with automatically provided gold coherence rankings. Results show that this model can distinguish with high accuracy between a human-authored translation and one with coherence errors, that it can also distinguish between document pairs from two corpora with different degrees of coherence errors, and that the learnt model can be successfully applied when the test set distribution of errors comes from a different one than the one from the training data, showing its generalization potentials. To test our bilingual model of coherence as a discourse-aware SMT evaluation metric, we apply it to more realistic data. We use it to evaluate a state-of-the-art NMT system against post-editing systems with pronouns corrected by our CLPP systems. For verifying our metric, we reuse our annotated parallel corpus and consider the pronoun annotations as proxy for human document-level coherence judgements. Experiments show far lower accuracy in ranking translations according to their entity-based coherence than on the artificial corpus, suggesting that the metric has difficulties generalizing to a more realistic setting. Analysis reveals that the system translations in our test corpus do not differ in their pronoun translations in almost half of the document pairs. To circumvent this data sparsity issue, and to remove the need for parameter learning, we define a score-based SMT evaluation metric which directly uses features from our bilingual coherence model.
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Keyword:
bilingual coherence; coherence; coreference; cross-lingual pronoun prediction; discourse-aware machine translation; discourse-aware machine translation evaluation metric; neural machine translation; statistical machine translation
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URL: http://hdl.handle.net/1842/31522
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| 10 |
Mobile Eye Tracking During Storybook Listening: Applying the Visual World Paradigm in the Investigation of Preschoolers' Online Discourse Processing
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Toth, Abigail. - : University of Alberta. Department of Linguistics., 2018
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ПРИСЛІВНИКОВА СИСТЕМА КРЕМЕНЕЦЬКОЇ АКТОВОЇ КНИГИ ЗЕМСЬКОГО УРЯДУ 1578 ; ADVERBIAL SYSTEM OF КREMENETSKA ACT BOOK OF ZEMSKYI GOVERNMENT OF 1578
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In: Philological Review; № 2 (2018) ; Філологічний часопис; № 2 (2018) ; Филологический журнал; № 2 (2018) ; Filológiai folyóirat; № 2 (2018) ; Філалагічны часопіс; № 2 (2018) ; 2415-8828 (2018)
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Syncretic complex pronoun-correlated sentence of asymmetric structure ; Синкретизм складнопідрядних речень займенниково-співвідносного типу несиметричної структури
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In: NaUKMA Research Papers. Linguistics; Том 1 (2018): NaUKMA Research Papers. Linguistics; 3-11 ; Наукові записки НаУКМА. Мовознавство; Том 1 (2018): Наукові записки НаУКМА. Мовознавство; 3-11 ; 2617-2615 ; 2616-8502 (2018)
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Realization of the semantics of personality in the poetry by Vasyl Symonenko ; Актуалізація семантики персональності в поезії Василя Симоненка
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In: NaUKMA Research Papers. Linguistics; Том 1 (2018): NaUKMA Research Papers. Linguistics; 35-40 ; Наукові записки НаУКМА. Мовознавство; Том 1 (2018): Наукові записки НаУКМА. Мовознавство; 35-40 ; 2617-2615 ; 2616-8502 (2018)
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| 15 |
Filling the gaps: acceptability and production of English Resumptive Pronouns in L2 English speakers
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Classifying referential and non-referential it using gaze
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In: 4896 ; 4901 (2018)
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Los sufijos */-ɯ/, */-l/ y */-m/: reconstrucción de los pronombres personales en el chino antiguo
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The Relation between Pronouns and Definites. Evidence from First Language Acquisition
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‘I only interpret the content and ask practical questions when necessary.’ Interpreters’ perceptions of their explicit coordination and personal pronoun choice in telephone interpreting
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La subida de clítico en las perífrasis verbales con más de un verbo auxiliar
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In: Estudios interlingüísticos, ISSN 2340-9274, Nº. 6, 2018, pags. 63-75 (2018)
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