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1
Investigating the Helpfulness of Word-Level Quality Estimation for Post-Editing Machine Translation Output ...
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2
Multi-Head Highly Parallelized LSTM Decoder for Neural Machine Translation ...
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3
Comparing Feature-Engineering and Feature-Learning Approaches for Multilingual Translationese Classification ...
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4
Modeling Task-Aware MIMO Cardinality for Efficient Multilingual Neural Machine Translation ...
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5
A Bidirectional Transformer Based Alignment Model for Unsupervised Word Alignment ...
Abstract: Read paper: https://www.aclanthology.org/2021.acl-long.24 Abstract: Word alignment and machine translation are two closely related tasks. Neural translation models, such as RNN-based and Transformer models, employ a target-to-source attention mechanism which can provide rough word alignments, but with a rather low accuracy. High-quality word alignment can help neural machine translation in many different ways, such as missing word detection, annotation transfer and lexicon injection. Existing methods for learning word alignment include statistical word aligners (e.g. GIZA++) and recently neural word alignment models. This paper presents a bidirectional Transformer based alignment (BTBA) model for unsupervised learning of the word alignment task. Our BTBA model predicts the current target word by attending the source context and both left-side and right-side target context to produce accurate target-to-source attention (alignment). We further fine-tune the target-to-source attention in the BTBA model to ...
Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics
URL: https://dx.doi.org/10.48448/pmd0-7v13
https://underline.io/lecture/25375-a-bidirectional-transformer-based-alignment-model-for-unsupervised-word-alignment
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6
Automatic classification of human translation and machine translation : a study from the perspective of lexical diversity
Fu, Yingxue; Nederhof, Mark Jan. - : Linkoping University Electronic Press, 2021
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7
The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe
In: Language Resources and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-02892154 ; Language Resources and Evaluation Conference, ELDA/ELRA, May 2020, Marseille, France ; https://lrec2020.lrec-conf.org/en/ (2020)
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8
The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe ...
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9
The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe ...
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10
Language service provision in the 21st century: challenges, opportunities and educational perspectives for translation studies
In: ISBN: 9788869234934 ; Bologna Process beyond 2020: Fundamental values of the EHEA pp. 297-303 (2020)
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11
Query Translation for Cross-lingual Search in the Academic Search Engine PubPsych ...
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12
Query Translation for Cross-lingual Search in the Academic Search Engine PubPsych ...
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13
An Empirical Analysis of NMT-Derived Interlingual Embeddings and their Use in Parallel Sentence Identification ...
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14
Improving translation memory matching and retrieval using paraphrases
In: 30 ; 1 ; 19 ; 40 (2016)
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15
A Minimally Supervised Approach for Synonym Extraction with Word Embeddings
In: Prague Bulletin of Mathematical Linguistics , Vol 105, Iss 1, Pp 111-142 (2016) (2016)
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16
Predicting sentence translation quality using extrinsic and language independent features
In: Bicici, Ergun, Groves, Declan and van Genabith, Josef orcid:0000-0003-1322-7944 (2013) Predicting sentence translation quality using extrinsic and language independent features. Machine Translation, 27 (3-4). pp. 171-192. ISSN 0922-6567 (2013)
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17
Working with a small dataset - semi-supervised dependency parsing for Irish
In: Lynn, Teresa, Foster, Jennifer orcid:0000-0002-7789-4853 , Dras, Mark orcid:0000-0001-9908-7182 and van Genabith, Josef orcid:0000-0003-1322-7944 (2013) Working with a small dataset - semi-supervised dependency parsing for Irish. In: Fourth Workshop on Statistical Parsing of Morphologically Rich Languages, 18 Oct 2013, Seattle, WA. USA. (2013)
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18
CNGL: Grading student answers by acts of translation
In: Bicici, Ergun orcid:0000-0002-2293-2031 and van Genabith, Josef orcid:0000-0003-1322-7944 (2013) CNGL: Grading student answers by acts of translation. In: SEMEVAL, 14-15 Jun 2013, Atlanta, Georgia. (2013)
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19
CNGL-CORE: Referential translation machines for measuring semantic similarity
In: Bicici, Ergun orcid:0000-0002-2293-2031 and van Genabith, Josef orcid:0000-0003-1322-7944 (2013) CNGL-CORE: Referential translation machines for measuring semantic similarity. In: *SEM, 13-14 Jun 2013, Atlanta, Georgia. (2013)
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20
Working with a small dataset - semi-supervised dependency parsing for Irish
Lynn, Teresa; Foster, Jennifer; Dras, Mark. - : Stroudsburg, PA : Association for Computational Linguistics, 2013
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