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2020 – today
- 2024
- [c45]Lucas Bandarkar, Davis Liang, Benjamin Muller, Mikel Artetxe, Satya Narayan Shukla, Donald Husa, Naman Goyal, Abhinandan Krishnan, Luke Zettlemoyer, Madian Khabsa:
The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants. ACL (1) 2024: 749-775 - [c44]Julen Etxaniz, Oscar Sainz, Naiara Miguel, Itziar Aldabe, German Rigau, Eneko Agirre, Aitor Ormazabal, Mikel Artetxe, Aitor Soroa:
Latxa: An Open Language Model and Evaluation Suite for Basque. ACL (1) 2024: 14952-14972 - [c43]Julen Etxaniz, Gorka Azkune, Aitor Soroa, Oier Lopez de Lacalle, Mikel Artetxe:
Do Multilingual Language Models Think Better in English? NAACL (Short Papers) 2024: 550-564 - [c42]Ahmed Elhady, Khaled Mostafa Elsayed, Eneko Agirre, Mikel Artetxe:
Improving Factuality in Clinical Abstractive Multi-Document Summarization by Guided Continued Pre-training. NAACL (Short Papers) 2024: 755-761 - [c41]Eneko Agirre, Itziar Aldabe, Xabier Arregi, Mikel Artetxe, Unai Atutxa, Ekhi Azurmendi, Iker de la Iglesia, Julen Etxaniz, Víctor García Romillo, Inma Hernáez Rioja, Asier Herranz, Mikel Iruskieta, Oier López de Lacalle, Eva Navas, Paula Ontalvilla, Aitor Ormazabal, Naiara Pérez, German Rigau, Oscar Sainz, Jon Sánchez, Ibon Saratxaga, Aitor Soroa, Christoforos Souganidis, Jon Vadillo, Aimar Zabala:
IKER-GAITU: Research on Language Technology for Basque and Other Low-Resource Languages. SEPLN (Projects and Demonstrations) 2024: 106-111 - [i48]Julen Etxaniz, Oscar Sainz, Naiara Pérez, Itziar Aldabe, German Rigau, Eneko Agirre, Aitor Ormazabal, Mikel Artetxe, Aitor Soroa:
Latxa: An Open Language Model and Evaluation Suite for Basque. CoRR abs/2403.20266 (2024) - [i47]Aitor Ormazabal, Che Zheng, Cyprien de Masson d'Autume, Dani Yogatama, Deyu Fu, Donovan Ong, Eric Chen, Eugenie Lamprecht, Hai Pham, Isaac Ong, Kaloyan Aleksiev, Lei Li, Matthew Henderson, Max Bain, Mikel Artetxe, Nishant Relan, Piotr Padlewski, Qi Liu, Ren Chen, Samuel Phua, Yazheng Yang, Yi Tay, Yuqi Wang
, Zhongkai Zhu, Zhihui Xie:
Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models. CoRR abs/2404.12387 (2024) - [i46]Piotr Padlewski, Max Bain, Matthew Henderson, Zhongkai Zhu, Nishant Relan, Hai Pham, Donovan Ong, Kaloyan Aleksiev, Aitor Ormazabal, Samuel Phua, Ethan Yeo, Eugenie Lamprecht, Qi Liu, Yuqi Wang, Eric Chen, Deyu Fu, Lei Li, Che Zheng, Cyprien de Masson d'Autume, Dani Yogatama, Mikel Artetxe, Yi Tay:
Vibe-Eval: A hard evaluation suite for measuring progress of multimodal language models. CoRR abs/2405.02287 (2024) - [i45]Julen Etxaniz, Gorka Azkune
BertaQA: How Much Do Language Models Know About Local Culture? CoRR abs/2406.07302 (2024) - [i44]Eduardo Sánchez, Belen Alastruey, Christophe Ropers, Pontus Stenetorp, Mikel Artetxe, Marta R. Costa-jussà:
Linguini: A benchmark for language-agnostic linguistic reasoning. CoRR abs/2409.12126 (2024) - 2023
- [j7]Dieuwke Hupkes, Mario Giulianelli
A taxonomy and review of generalization research in NLP. Nat. Mac. Intell. 5(10): 1161-1174 (2023) - [c40]Kelly Marchisio, Patrick S. H. Lewis, Yihong Chen, Mikel Artetxe:
Mini-Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training. ACL (Findings) 2023: 5474-5490 - [c39]Machel Reid, Mikel Artetxe:
On the Role of Parallel Data in Cross-lingual Transfer Learning. ACL (Findings) 2023: 5999-6006 - [c38]Mengzhou Xia, Mikel Artetxe, Chunting Zhou, Xi Victoria Lin, Ramakanth Pasunuru, Danqi Chen, Luke Zettlemoyer, Veselin Stoyanov:
Training Trajectories of Language Models Across Scales. ACL (1) 2023: 13711-13738 - [c37]Aitor Ormazabal, Mikel Artetxe, Eneko Agirre:
CombLM: Adapting Black-Box Language Models through Small Fine-Tuned Models. EMNLP 2023: 2961-2974 - [c36]Mikel Artetxe, Vedanuj Goswami, Shruti Bhosale, Angela Fan, Luke Zettlemoyer:
Revisiting Machine Translation for Cross-lingual Classification. EMNLP 2023: 6489-6499 - [c35]Yihong Chen, Kelly Marchisio, Roberta Raileanu, David Ifeoluwa Adelani, Pontus Lars Erik Saito Stenetorp, Sebastian Riedel, Mikel Artetxe:
Improving Language Plasticity via Pretraining with Active Forgetting. NeurIPS 2023 - [i43]Mikel Artetxe, Vedanuj Goswami, Shruti Bhosale, Angela Fan, Luke Zettlemoyer:
Revisiting Machine Translation for Cross-lingual Classification. CoRR abs/2305.14240 (2023) - [i42]Aitor Ormazabal, Mikel Artetxe, Eneko Agirre:
CombLM: Adapting Black-Box Language Models through Small Fine-Tuned Models. CoRR abs/2305.16876 (2023) - [i41]Yihong Chen, Kelly Marchisio, Roberta Raileanu, David Ifeoluwa Adelani, Pontus Stenetorp, Sebastian Riedel, Mikel Artetxe:
Improving Language Plasticity via Pretraining with Active Forgetting. CoRR abs/2307.01163 (2023) - [i40]Julen Etxaniz, Gorka Azkune
Do Multilingual Language Models Think Better in English? CoRR abs/2308.01223 (2023) - [i39]Anirudh Mittal, Timo Schick, Mikel Artetxe, Jane Dwivedi-Yu:
Evaluation of Faithfulness Using the Longest Supported Subsequence. CoRR abs/2308.12157 (2023) - [i38]Lucas Bandarkar, Davis Liang, Benjamin Muller, Mikel Artetxe, Satya Narayan Shukla, Donald Husa, Naman Goyal, Abhinandan Krishnan, Luke Zettlemoyer, Madian Khabsa:
The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants. CoRR abs/2308.16884 (2023) - [i37]Eduardo Sánchez, Pierre Andrews, Pontus Stenetorp, Mikel Artetxe, Marta R. Costa-jussà:
Gender-specific Machine Translation with Large Language Models. CoRR abs/2309.03175 (2023) - 2022
- [j6]Nicola De Cao
Multilingual Autoregressive Entity Linking. Trans. Assoc. Comput. Linguistics 10: 274-290 (2022) - [c34]Aitor Ormazabal, Mikel Artetxe, Aitor Soroa, Gorka Labaka, Eneko Agirre:
Principled Paraphrase Generation with Parallel Corpora. ACL (1) 2022: 1621-1638 - [c33]Christos Baziotis, Mikel Artetxe, James Cross, Shruti Bhosale:
Multilingual Machine Translation with Hyper-Adapters. EMNLP 2022: 1170-1185 - [c32]Aitor Ormazabal, Mikel Artetxe, Manex Agirrezabal, Aitor Soroa, Eneko Agirre:
PoeLM: A Meter- and Rhyme-Controllable Language Model for Unsupervised Poetry Generation. EMNLP (Findings) 2022: 3655-3670 - [c31]Mikel Artetxe, Jingfei Du, Naman Goyal, Luke Zettlemoyer, Veselin Stoyanov:
On the Role of Bidirectionality in Language Model Pre-Training. EMNLP (Findings) 2022: 3973-3985 - [c30]Mikel Artetxe, Itziar Aldabe, Rodrigo Agerri, Olatz Perez-de-Viñaspre, Aitor Soroa:
Does Corpus Quality Really Matter for Low-Resource Languages? EMNLP 2022: 7383-7390 - [c29]Mozes van de Kar, Mengzhou Xia, Danqi Chen, Mikel Artetxe:
Don't Prompt, Search! Mining-based Zero-Shot Learning with Language Models. EMNLP 2022: 7508-7520 - [c28]Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, Tianlu Wang, Shuohui Chen, Daniel Simig, Myle Ott, Naman Goyal, Shruti Bhosale, Jingfei Du, Ramakanth Pasunuru, Sam Shleifer, Punit Singh Koura, Vishrav Chaudhary, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Zornitsa Kozareva, Mona T. Diab, Veselin Stoyanov, Xian Li:
Few-shot Learning with Multilingual Generative Language Models. EMNLP 2022: 9019-9052 - [c27]Sewon Min, Xinxi Lyu, Ari Holtzman, Mikel Artetxe, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer:
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? EMNLP 2022: 11048-11064 - [c26]Mengzhou Xia, Mikel Artetxe, Jingfei Du, Danqi Chen, Veselin Stoyanov:
Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models. EMNLP 2022: 11351-11361 - [c25]Mikel Artetxe, Shruti Bhosale, Naman Goyal, Todor Mihaylov, Myle Ott, Sam Shleifer, Xi Victoria Lin, Jingfei Du, Srinivasan Iyer, Ramakanth Pasunuru, Giridharan Anantharaman, Xian Li, Shuohui Chen, Halil Akin, Mandeep Baines, Louis Martin, Xing Zhou, Punit Singh Koura, Brian O'Horo, Jeffrey Wang, Luke Zettlemoyer, Mona T. Diab, Zornitsa Kozareva, Veselin Stoyanov:
Efficient Large Scale Language Modeling with Mixtures of Experts. EMNLP 2022: 11699-11732 - [c24]Machel Reid, Mikel Artetxe:
PARADISE: Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining. NAACL-HLT 2022: 800-810 - [c23]Jonas Pfeiffer, Naman Goyal, Xi Victoria Lin, Xian Li, James Cross, Sebastian Riedel, Mikel Artetxe:
Lifting the Curse of Multilinguality by Pre-training Modular Transformers. NAACL-HLT 2022: 3479-3495 - [c22]Machel Reid, Mikel Artetxe:
PARADISE: Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining. RepL4NLP@ACL 2022: 20-28 - [i36]Sewon Min, Xinxi Lyu, Ari Holtzman, Mikel Artetxe, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer:
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? CoRR abs/2202.12837 (2022) - [i35]Ping Yu, Mikel Artetxe, Myle Ott, Sam Shleifer, Hongyu Gong, Ves Stoyanov, Xian Li:
Efficient Language Modeling with Sparse all-MLP. CoRR abs/2203.06850 (2022) - [i34]Mikel Artetxe, Itziar Aldabe, Rodrigo Agerri, Olatz Perez-de-Viñaspre, Aitor Soroa:
Does Corpus Quality Really Matter for Low-Resource Languages? CoRR abs/2203.08111 (2022) - [i33]Susan Zhang, Stephen Roller, Naman Goyal, Mikel Artetxe, Moya Chen, Shuohui Chen, Christopher Dewan, Mona T. Diab, Xian Li, Xi Victoria Lin, Todor Mihaylov, Myle Ott, Sam Shleifer, Kurt Shuster, Daniel Simig, Punit Singh Koura, Anjali Sridhar, Tianlu Wang, Luke Zettlemoyer:
OPT: Open Pre-trained Transformer Language Models. CoRR abs/2205.01068 (2022) - [i32]Jonas Pfeiffer, Naman Goyal, Xi Victoria Lin, Xian Li, James Cross, Sebastian Riedel, Mikel Artetxe:
Lifting the Curse of Multilinguality by Pre-training Modular Transformers. CoRR abs/2205.06266 (2022) - [i31]Christos Baziotis, Mikel Artetxe, James Cross, Shruti Bhosale:
Multilingual Machine Translation with Hyper-Adapters. CoRR abs/2205.10835 (2022) - [i30]Mikel Artetxe, Jingfei Du, Naman Goyal, Luke Zettlemoyer, Ves Stoyanov:
On the Role of Bidirectionality in Language Model Pre-Training. CoRR abs/2205.11726 (2022) - [i29]Aitor Ormazabal, Mikel Artetxe, Manex Agirrezabal, Aitor Soroa, Eneko Agirre:
PoeLM: A Meter- and Rhyme-Controllable Language Model for Unsupervised Poetry Generation. CoRR abs/2205.12206 (2022) - [i28]Aitor Ormazabal, Mikel Artetxe, Gorka Labaka, Aitor Soroa, Eneko Agirre:
Principled Paraphrase Generation with Parallel Corpora. CoRR abs/2205.12213 (2022) - [i27]Mengzhou Xia, Mikel Artetxe, Jingfei Du, Danqi Chen, Ves Stoyanov:
Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models. CoRR abs/2205.15223 (2022) - [i26]Dieuwke Hupkes, Mario Giulianelli, Verna Dankers, Mikel Artetxe, Yanai Elazar, Tiago Pimentel, Christos Christodoulopoulos, Karim Lasri, Naomi Saphra
State-of-the-art generalisation research in NLP: a taxonomy and review. CoRR abs/2210.03050 (2022) - [i25]Mozes van de Kar, Mengzhou Xia, Danqi Chen, Mikel Artetxe:
Don't Prompt, Search! Mining-based Zero-Shot Learning with Language Models. CoRR abs/2210.14803 (2022) - [i24]Mengzhou Xia, Mikel Artetxe, Chunting Zhou, Xi Victoria Lin, Ramakanth Pasunuru, Danqi Chen, Luke Zettlemoyer, Ves Stoyanov:
Training Trajectories of Language Models Across Scales. CoRR abs/2212.09803 (2022) - [i23]Machel Reid, Mikel Artetxe:
On the Role of Parallel Data in Cross-lingual Transfer Learning. CoRR abs/2212.10173 (2022) - [i22]Kelly Marchisio, Patrick S. H. Lewis, Yihong Chen, Mikel Artetxe:
Mini-Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training. CoRR abs/2212.10503 (2022) - 2021
- [c21]Aitor Ormazabal, Mikel Artetxe, Aitor Soroa, Gorka Labaka
Beyond Offline Mapping: Learning Cross-lingual Word Embeddings through Context Anchoring. ACL/IJCNLP (1) 2021: 6479-6489 - [c20]Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa, Mikel Artetxe:
Multilingual Machine Translation: Closing the Gap between Shared and Language-specific Encoder-Decoders. EACL 2021: 944-948 - [i21]Nicola De Cao, Ledell Wu, Kashyap Popat, Mikel Artetxe, Naman Goyal, Mikhail Plekhanov, Luke Zettlemoyer, Nicola Cancedda, Sebastian Riedel, Fabio Petroni:
Multilingual Autoregressive Entity Linking. CoRR abs/2103.12528 (2021) - [i20]Ivana Kvapilíková, Mikel Artetxe, Gorka Labaka, Eneko Agirre, Ondrej Bojar:
Unsupervised Multilingual Sentence Embeddings for Parallel Corpus Mining. CoRR abs/2105.10419 (2021) - [i19]Machel Reid, Mikel Artetxe:
PARADISE: Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining. CoRR abs/2108.01887 (2021) - [i18]Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, Tianlu Wang, Shuohui Chen, Daniel Simig, Myle Ott, Naman Goyal, Shruti Bhosale, Jingfei Du, Ramakanth Pasunuru, Sam Shleifer, Punit Singh Koura, Vishrav Chaudhary, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Zornitsa Kozareva, Mona T. Diab, Veselin Stoyanov, Xian Li:
Few-shot Learning with Multilingual Language Models. CoRR abs/2112.10668 (2021) - [i17]Mikel Artetxe, Shruti Bhosale, Naman Goyal, Todor Mihaylov, Myle Ott, Sam Shleifer, Xi Victoria Lin, Jingfei Du, Srinivasan Iyer, Ramakanth Pasunuru, Giri Anantharaman, Xian Li, Shuohui Chen, Halil Akin, Mandeep Baines, Louis Martin, Xing Zhou, Punit Singh Koura, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Mona T. Diab, Zornitsa Kozareva, Ves Stoyanov:
Efficient Large Scale Language Modeling with Mixtures of Experts. CoRR abs/2112.10684 (2021) - 2020
- [j5]Mikel Artetxe, Gorka Labaka
Do all roads lead to Rome? Understanding the role of initialization in iterative back-translation. Knowl. Based Syst. 206: 106401 (2020) - [c19]Ivana Kvapilíková
Unsupervised Multilingual Sentence Embeddings for Parallel Corpus Mining. ACL (student) 2020: 255-262 - [c18]Mikel Artetxe, Sebastian Ruder, Dani Yogatama:
On the Cross-lingual Transferability of Monolingual Representations. ACL 2020: 4623-4637 - [c17]Mikel Artetxe, Sebastian Ruder, Dani Yogatama, Gorka Labaka
A Call for More Rigor in Unsupervised Cross-lingual Learning. ACL 2020: 7375-7388 - [c16]Mikel Artetxe, Gorka Labaka
Translation Artifacts in Cross-lingual Transfer Learning. EMNLP (1) 2020: 7674-7684 - [i16]Mikel Artetxe, Gorka Labaka, Noe Casas, Eneko Agirre:
Do all Roads Lead to Rome? Understanding the Role of Initialization in Iterative Back-Translation. CoRR abs/2002.12867 (2020) - [i15]Mikel Artetxe, Gorka Labaka, Eneko Agirre:
Translation Artifacts in Cross-lingual Transfer Learning. CoRR abs/2004.04721 (2020) - [i14]Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa, Mikel Artetxe:
Multilingual Machine Translation: Closing the Gap between Shared and Language-specific Encoder-Decoders. CoRR abs/2004.06575 (2020) - [i13]Mikel Artetxe, Sebastian Ruder, Dani Yogatama, Gorka Labaka, Eneko Agirre:
A Call for More Rigor in Unsupervised Cross-lingual Learning. CoRR abs/2004.14958 (2020) - [i12]Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa, Mikel Artetxe:
Training Multilingual Machine Translation by Alternately Freezing Language-Specific Encoders-Decoders. CoRR abs/2006.01594 (2020) - [i11]Aitor Ormazabal, Mikel Artetxe, Aitor Soroa, Gorka Labaka, Eneko Agirre:
Beyond Offline Mapping: Learning Cross Lingual Word Embeddings through Context Anchoring. CoRR abs/2012.15715 (2020)
2010 – 2019
- 2019
- [j4]Pablo Gamallo
Contextualized Translations of Phrasal Verbs with Distributional Compositional Semantics and Monolingual Corpora. Comput. Linguistics 45(3): 395-421 (2019) - [j3]Mikel Artetxe, Gorka Labaka, Eneko Agirre:
Unsupervised Neural Machine Translation, a new paradigm solely based on monolingual text. Proces. del Leng. Natural 63: 151-154 (2019) - [j2]Mikel Artetxe, Holger Schwenk:
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond. Trans. Assoc. Comput. Linguistics 7: 597-610 (2019) - [c15]Mikel Artetxe, Gorka Labaka, Eneko Agirre:
An Effective Approach to Unsupervised Machine Translation. ACL (1) 2019: 194-203 - [c14]Mikel Artetxe, Holger Schwenk:
Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings. ACL (1) 2019: 3197-3203 - [c13]Aitor Ormazabal, Mikel Artetxe, Gorka Labaka, Aitor Soroa
Analyzing the Limitations of Cross-lingual Word Embedding Mappings. ACL (1) 2019: 4990-4995 - [c12]Mikel Artetxe, Gorka Labaka, Eneko Agirre:
Bilingual Lexicon Induction through Unsupervised Machine Translation. ACL (1) 2019: 5002-5007 - [i10]Mikel Artetxe, Gorka Labaka, Eneko Agirre:
An Effective Approach to Unsupervised Machine Translation. CoRR abs/1902.01313 (2019) - [i9]Aitor Ormazabal, Mikel Artetxe, Gorka Labaka, Aitor Soroa, Eneko Agirre:
Analyzing the Limitations of Cross-lingual Word Embedding Mappings. CoRR abs/1906.05407 (2019) - [i8]Mikel Artetxe, Gorka Labaka, Eneko Agirre:
Bilingual Lexicon Induction through Unsupervised Machine Translation. CoRR abs/1907.10761 (2019) - [i7]Mikel Artetxe, Sebastian Ruder, Dani Yogatama:
On the Cross-lingual Transferability of Monolingual Representations. CoRR abs/1910.11856 (2019) - 2018
- [c11]Mikel Artetxe, Gorka Labaka, Eneko Agirre:
Generalizing and Improving Bilingual Word Embedding Mappings with a Multi-Step Framework of Linear Transformations. AAAI 2018: 5012-5019 - [c10]Mikel Artetxe, Gorka Labaka, Eneko Agirre:
A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings. ACL (1) 2018: 789-798 - [c9]Mikel Artetxe, Gorka Labaka, Iñigo Lopez-Gazpio
Uncovering Divergent Linguistic Information in Word Embeddings with Lessons for Intrinsic and Extrinsic Evaluation. CoNLL 2018: 282-291 - [c8]Mikel Artetxe, Gorka Labaka, Eneko Agirre:
Unsupervised Statistical Machine Translation. EMNLP 2018: 3632-3642 - [c7]Mikel Artetxe, Gorka Labaka, Eneko Agirre, Kyunghyun Cho:
Unsupervised Neural Machine Translation. ICLR (Poster) 2018 - [i6]Mikel Artetxe, Gorka Labaka, Eneko Agirre:
A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings. CoRR abs/1805.06297 (2018) - [i5]Mikel Artetxe, Gorka Labaka, Eneko Agirre:
Unsupervised Statistical Machine Translation. CoRR abs/1809.01272 (2018) - [i4]Mikel Artetxe, Gorka Labaka, Iñigo Lopez-Gazpio, Eneko Agirre:
Uncovering divergent linguistic information in word embeddings with lessons for intrinsic and extrinsic evaluation. CoRR abs/1809.02094 (2018) - [i3]Mikel Artetxe, Holger Schwenk:
Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings. CoRR abs/1811.01136 (2018) - [i2]Mikel Artetxe, Holger Schwenk:
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond. CoRR abs/1812.10464 (2018) - 2017
- [c6]Mikel Artetxe, Gorka Labaka
Learning bilingual word embeddings with (almost) no bilingual data. ACL (1) 2017: 451-462 - [i1]Mikel Artetxe, Gorka Labaka, Eneko Agirre, Kyunghyun Cho:
Unsupervised Neural Machine Translation. CoRR abs/1710.11041 (2017) - 2016
- [c5]Mikel Artetxe, Gorka Labaka, Chakaveh Saedi, João Rodrigues, João Silva, António Branco, Eneko Agirre:
Adding syntactic structure to bilingual terminology for improved domain adaptation. DMTW 2016: 39-46 - [c4]Mikel Artetxe, Gorka Labaka, Eneko Agirre:
Learning principled bilingual mappings of word embeddings while preserving monolingual invariance. EMNLP 2016: 2289-2294 - 2015
- [j1]Eneko Agirre, Iñaki Alegria, Nora Aranberri, Mikel Artetxe, Ander Barrena, António Branco, Arantza Díaz de Ilarraza, Koldo Gojenola, Gorka Labaka, Arantxa Otegi, Kepa Sarasola:
Lexical semantics, Basque and Spanish in QTLeap: Quality Translation by Deep Language Engineering Approaches. Proces. del Leng. Natural 55: 169-172 (2015) - [c3]Mikel Artetxe, Gorka Labaka, Kepa Sarasola:
Building hybrid machine translation systems by using an EBMT preprocessor to create partial translations. EAMT 2015 - [c2]Iñaki Alegria, Mikel Artetxe, Gorka Labaka, Kepa Sarasola:
EHU at TweetMT: Adapting MT Engines for Formal Tweets. TweetMT@SEPLN 2015: 20-24 - [c1]Mikel Artetxe, Eneko Agirre, Iñaki Alegria, Gorka Labaka:
Analyzing English-Spanish Named-Entity enhanced Machine Translation. SSST@NAACL-HLT 2015: 52-54
Coauthor Index
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