- Agata Savary, Silvio Ricardo Cordeiro, Timm Lichte, Carlos Ramisch, Uxoa Iñurrieta Urmeneta, Voula Giouli:
Literal Occurrences of Multiword Expressions: Rare Birds That Cause a Stir. Prague Bull. Math. Linguistics 112: 5-54 (2019) - Pavel Vondricka:
Design of a Multiword Expressions Database. Prague Bull. Math. Linguistics 112: 83-101 (2019) - 2018
- Lauriane Aufrant, Guillaume Wisniewski:
PanParser: a Modular Implementation for Efficient Transition-Based Dependency Parsing. Prague Bull. Math. Linguistics 111: 57-86 (2018) - Tim vor der Brück:
A Probabilistic Approach to Error Detection&Correction for Tree-Mapping Grammars. Prague Bull. Math. Linguistics 111: 97-112 (2018) - Ronald Cardenas, Kevin Bello, Alberto Coronado, Elizabeth Villota:
Improving Topic Coherence Using Entity Extraction Denoising. Prague Bull. Math. Linguistics 110: 85-101 (2018) - Jetic Gu, Anahita Mansouri Bigvand, Anoop Sarkar:
An Easily Extensible HMM Word Aligner. Prague Bull. Math. Linguistics 111: 87-96 (2018) - Václava Kettnerová, Markéta Lopatková, Eduard Bejcek, Petra Barancíková:
Enriching VALLEX with Light Verbs: From Theory to Data and Back Again. Prague Bull. Math. Linguistics 111: 29-56 (2018) - Marie Mikulová, Eduard Bejcek, Eva Hajicová, Jarmila Panevová:
Search for the Relation of Form and Function Using the ForFun Database. Prague Bull. Math. Linguistics 110: 71-84 (2018) - Álvaro Peris, Francisco Casacuberta:
NMT-Keras: a Very Flexible Toolkit with a Focus on Interactive NMT and Online Learning. Prague Bull. Math. Linguistics 111: 113-124 (2018) - Martin Popel, Ondrej Bojar:
Training Tips for the Transformer Model. Prague Bull. Math. Linguistics 110: 43-70 (2018) - Berta González Saavedra, Marco Passarotti:
Using Tectogrammatical Annotation for Studying Actors and Actions in Sallust's Bellum Catilinae. Prague Bull. Math. Linguistics 111: 5-28 (2018) - Magda Sevcíková:
Modelling Morphographemic Alternations in Derivation of Czech. Prague Bull. Math. Linguistics 110: 7-42 (2018) - Thomas Zenkel, Matthias Sperber, Jan Niehues, Markus Müller, Ngoc-Quan Pham, Sebastian Stüker, Alex Waibel:
Open Source Toolkit for Speech to Text Translation. Prague Bull. Math. Linguistics 111: 125-135 (2018) - 2017
- Duygu Ataman, Matteo Negri, Marco Turchi, Marcello Federico:
Linguistically Motivated Vocabulary Reduction for Neural Machine Translation from Turkish to English. Prague Bull. Math. Linguistics 108: 331-342 (2017) - Eleftherios Avramidis:
Comparative Quality Estimation for Machine Translation Observations on Machine Learning and Features. Prague Bull. Math. Linguistics 108: 307-318 (2017) - Eleftherios Avramidis:
QE: : GUI - A Graphical User Interface for Quality Estimation. Prague Bull. Math. Linguistics 109: 51-60 (2017) - Parnia Bahar, Tamer Alkhouli, Jan-Thorsten Peter, Christopher Brix, Hermann Ney:
Empirical Investigation of Optimization Algorithms in Neural Machine Translation. Prague Bull. Math. Linguistics 108: 13-26 (2017) - Aljoscha Burchardt, Vivien Macketanz, Jon Dehdari, Georg Heigold, Jan-Thorsten Peter, Philip Williams:
A Linguistic Evaluation of Rule-Based, Phrase-Based, and Neural MT Engines. Prague Bull. Math. Linguistics 108: 159-170 (2017) - Franck Burlot, François Yvon:
Learning Morphological Normalization for Translation from and into Morphologically Rich Languages. Prague Bull. Math. Linguistics 108: 49-60 (2017) - Ozan Caglayan, Mercedes García-Martínez, Adrien Bardet, Walid Aransa, Fethi Bougares, Loïc Barrault:
NMTPY: A Flexible Toolkit for Advanced Neural Machine Translation Systems. Prague Bull. Math. Linguistics 109: 15-28 (2017) - Sheila Castilho, Joss Moorkens, Federico Gaspari, Iacer Calixto, John Tinsley, Andy Way:
Is Neural Machine Translation the New State of the Art? Prague Bull. Math. Linguistics 108: 109-120 (2017) - Praveen Dakwale, Christof Monz:
Convolutional over Recurrent Encoder for Neural Machine Translation. Prague Bull. Math. Linguistics 108: 37-48 (2017) - Valentin Deyringer, Alexander Fraser, Helmut Schmid, Tsuyoshi Okita:
Parallelization of Neural Network Training for NLP with Hogwild! Prague Bull. Math. Linguistics 109: 29-38 (2017) - Miguel Domingo, Mara Chinea-Rios, Francisco Casacuberta:
Historical Documents Modernization. Prague Bull. Math. Linguistics 108: 295-306 (2017) - Jinhua Du, Andy Way:
Pre-Reordering for Neural Machine Translation: Helpful or Harmful? Prague Bull. Math. Linguistics 108: 171-182 (2017) - Carla Parra Escartín, Hanna Béchara, Constantin Orasan:
Questing for Quality Estimation A User Study. Prague Bull. Math. Linguistics 108: 343-354 (2017) - Mikel L. Forcada, Felipe Sánchez-Martínez, Miquel Esplà-Gomis, Lucia Specia:
Towards Optimizing MT for Post-Editing Effort: Can BLEU Still Be Useful? Prague Bull. Math. Linguistics 108: 183-196 (2017) - Eva Martínez Garcia, Carles Creus, Cristina España-Bonet, Lluís Màrquez:
Using Word Embeddings to Enforce Document-Level Lexical Consistency in Machine Translation. Prague Bull. Math. Linguistics 108: 85-96 (2017) - Jindrich Helcl, Jindrich Libovický:
Neural Monkey: An Open-source Tool for Sequence Learning. Prague Bull. Math. Linguistics 107: 5-18 (2017) - Filip Klubicka, Antonio Toral, Víctor M. Sánchez-Cartagena:
Fine-Grained Human Evaluation of Neural Versus Phrase-Based Machine Translation. Prague Bull. Math. Linguistics 108: 121-132 (2017)