IXA group


Talk: Neural Networks and Linguistics. Talking Past Each Other? (M. Hulden, 2018-11-08)

Speaker: Mans Hulden, University of Colorado.
When: Thursday, 8 November
12:00 – 1:00pm

Description: Neural networks have led to previously unimaginable advances in NLP engineering tasks. The main criticism against them from a linguistic point of view is that neural models – while fine for “language engineering tasks” – are thought of as being black boxes, and that their parameter opacity prevents us from discovering new facts about the nature of language itself, or specific languages. In this talk I will challenge that assumption to show that there are ways to uncover facts about language, even with a black box learner. I will discuss specific experiments with neural models and sound embeddings that reveal new information about the organization of sound systems in human languages (phonology), give us insight into the complexity of word-formation (morphology), give us models of why and when irregular forms – surely an inefficiency in a communication system – can persist over long periods of time (historical linguistics), and reveal what the boundaries of pattern learning is (how much information do we minimally need to learn a grammatical aspect of language such as its word inflection or sentence formation).

Best Thesis Award in PLN (Aitor Gonzalez, 2018-09-13)

Last September Aitor Gonzalez Agirre was awarded with the best MSc thesis Award 2018 by the SEPLN association. Congratulations to Aitor and to his supervisors Eneko Agirre  and German Rigau.

Aitor is now working at the Barcelona Supercomputing Center.

The abstract of his thesis entitled Computational Models for Semantic Textual Similarity” is the following:

Measuring semantic similarity between textual items (words, sentences, paragraphs or even documents) is a very important research area in Natural Language Processing (NLP). It has many practical applications in other NLP tasks such as Word Sense Disambiguation, Textual Entailment, Paraphrase detection, Machine Translation, Summarization, Information Retrieval or Question Answering.
The overarching goal of this thesis is to advance on computational models of meaning and their evaluation. To achieve this goal we define two tasks and develop state-of-the-art systems that tackle both tasks: Semantic Textual Similarity (STS) and Typed Similarity.
STS aims to measure the degree of semantic equivalence between two sentences by assigning graded similarity values. This graded similarity captures the notion of intermediate shades of similarity ranging from pairs of text that differ only in minor nuanced aspects of meaning, in relatively important differences,
down to pairs that share only some details or that only have in common being about the same topic. In the scope of this research, we have collected pairs of sentences to construct datasets for STS, a total of 15,436 pairs of sentences, being by far the largest collection of data for STS.
Using these new datasets for STS we have designed, constructed and evaluated a new approach to combine knowledge-based and corpus-based methods using a cube. This new system for STS is on par with state-of-the-art approaches that make use of Machine Learning (ML) without using any of it, but ML can be used
on this system, improving the results.
Typed Similarity tries to identify the type of relation that holds between a pair of similar items in a digital library. Being able to provide a reason why items are similar has applications in recommendation, personalization, and search. We investigate the problem within the context of Europeana, a large digital library containing items related to cultural heritage. A range of types of similarity in this collection were identified and a set of 1,500 pairs of items from the collection were annotated using crowdsourcing.
Finally, we present three systems capable of resolving the Typed Similarity task: a baseline approach, a knowledge-based approach and a ML system. The high results obtained by our systems suggests that this technology is close to practical applications. In fact, the system based on ML resulted in a real-world application to recommend similar items to users in an online digital library.


En la XVII Edición de los premios SEPLN a la mejor tesis doctoral en Procesamiento del Lenguaje Natural se han presentado doce trabajos de gran calidad. Cada monografía ha sido evaluada por tres revisores. Destacar el alto nivel científico y técnico, siendo todas ellas merecedoras del premio. Finalmente, ha quedado mejor valorada, y por consiguiente, premiada y propuesta para su publicación electrónica la titulada “Computational Models for Semantic Textual Similarity” de Aitor González Agirre, como el décimoséptimo número de esta serie de publicaciones.


European Parliament endorses the report on Language Equality in the Digital Age (2018-09-11)

This week, the report on Language Equality in the Digital Age that was presented by Jill Evans MEP of Wales was overwhelmingly endorsed by the European Parliament with 592 MEPs voting in favour, and with only 45 against and 44 abstentions.  Find here a link to a press release about the vote: https://www.greens-efa.eu/en/article/press/victory-for-language-equality-in-the-european-parliament/


The report endorsed by EuroParl

It is not a law, but it is a declaration made by the European Parliament, which can be a guiding reference for all countries. Today, as until now there were no laws or declarations of the European Parliament to protect the low resourced languages, everything remains in the hands of the local legislation of each country, which could without problems ignore these languages. It is not a law, but this Europarl report is a step forward.

Jill Evans MEP said:

  • “I am pleased that the European Parliament agrees with my view that action needs to be taken to address the digital gap between European languages.
  • “European citizens must be able to access and use the digital world in their own languages, including in minority languages. This will require investment and leadership at the EU level.
  • “This is a huge opportunity for the EU to demonstrate a real commitment to language equality, for the speakers of all of Europe’s languages, including Welsh.”

The report calls on the EU to:

  • improve the institutional frameworks for language technology policies,
  • create new research policies to increase the use of language technology in Europe,
  • use education policies in order to secure the future of language equality in the digital age,
  • increase the support for both private companies and public bodies to make better use of language technologies.

Last January, Maite Melero representing Catalan, Delith Prys representing Welsh, and Iñaki Irazabalbeitia and Kepa Sarasola representing Basque participated in the creation of the first draft of the report.

A conference with the same title Language equality in the digital age will be held on september 27th in the European Parliament to show to the MEPs the opportunities this technology is offering to European languages.  Jill Evans, Maite Melero, Delith Prys and our colleague Montse Maritxalar from Ixa Group are going to participate. (See here the schedule)


“Language Analysis and Processing” master theses (2018-06-26)

Four master theses have been presented in June:

Noisy Speech Recognition using Kaldi and Neural Architectures
Ikaslea/Student: Ander González Docasal
Zuzendariak/Supervisors: Vassilis Tsiaras, George P. Kafentzis, Yannis Stylianou

Unsupervised Methods to Predict Example Difficulty in Word Sense Annotation
Ikaslea/Student: Cristina Aceta Moreno
Zuzendariak/Supervisors: Oier Lopez de Lacalle, Eneko Agirre, Izaskun Aldezabal

To post‐edit or to translate… That is the question.
A case study of a recommender system for Quality Estimation of Machine Translation based on linguistic feature
Ikaslea/Student: Ona de Gilbert Bonet
Zuzendaria/Supervisor: Nora Aranberri

Basque‐to‐Spanish and Spanish‐to‐Basque Machine Translation for the health domain
Ikaslea/Student: Xabier Soto García
Zuzendariak/Supervisors: Gorka Labaka, Olatz Perez de Viñaspre
Zuzendarikidea/Co‐advisor: Maite Oronoz

Talk: Karelian dialects, how to study variation between closely related languages? (I. Moshnikov, 2018-06-19)

Speaker: Ilia Moshnikov
…………Karelian Institute (Joensuu)
Date: Tuesday,June 19, 2018
Time: 15:00-16:00
Place: UPV/EHUko Informatika Fakultatea, Manuel de Lardizabal 1, 20018 Donostia (map)
Title:  Variants of the active past participle in the Border Karelian dialects:
how to study variation between closely related languages?

Karelian languages (Wikipedia)

During my visit I would like to present my research interests. I will speak about my home university in general. I will say a few words about current situation of the Karelian language and usage of it in Internet. During my work in Kiännä-research project I investigated from a virtual linguistic landscape point of view what websites use Karelian as a language of full interface. I will also talk about my doctoral dissertation. Topic of my presentation is Variants of the active past participle in the Border Karelian dialects: how to study variation between closely related languages? I use some statistical methods. Theoretically my background is in language contacts and language variation research.

Short bio:
My name is Ilia Moshnikov and I am a visiting researcher from University of Eastern Finland (Joensuu, Finland). I will stay in San Sebastian one month. I am a linguist and my doctoral dissertation is about language contacts between Finnish and Karelian languages in Border Karelian dialects. Moreover, some of my interests are language revitalization and modern language usage. For example, I am involved in Karelian Wikipedia. Originally, I am from Russian Karelia. I speak Karelian, Finnish, English and Russian (a bit Spanish as well). I work as a researcher in Karelian Institute (Joensuu) and teach some Karelian (and Russian) courses.

Talk: The Open Multilingual Wordnet (F. Bond., 2018-06-13)

Speaker: Francis Bond.
…………Division of Linguistics and Multilingual Studies,
…………Nanyang Technological University. Singapore
Date: June 13, 2018
Time: 15:00
Place: UPV/EHUko Informatika Fakultatea, Manuel de Lardizabal 1, 20018 Donostia (map)
Title: The Open Multilingual Wordnet


In this talk I introduce the Open Multilingual Wordnet, a large lexical network of words grouped into concepts and linked by typed semantic relations. The talk will cover how the resource has evolved over time (increases in both size and complexity) and introduce some of the latest extensions.

Short bio:

Francis Bond is an Associate Professor at the Division of Linguistics and Multilingual Studies, Nanyang Technological University, Singapore. He worked on machine translation and natural language understanding in Japan, first at Nippon Telegraph and Telephone Corporation and then at the National Institute of Information and Communications Technology, where his focus was on open source natural language processing. He isan active member of the Deep Linguistic Processing with HPSG Initiative (DELPH-IN) and the Global WordNet Association.  His main research interest is in natural language understanding. Francis has developed and released wordnets for Chinese, Japanese, Malay and Indonesian and coordinates the open multilingual wordnet.

PROCESSING OF HISTORICAL CORPORA (Open day workshop, 2018-06-11)

The collection, tagging, analysis and recovery of historical corpora are basic tasks in the quantitative research on linguistic and cultural evolution. Collaboration between the areas of linguistics, history and technology is necessary for the success of these processes.

Several international projects are being carried out in this field and some of these experiences will be presented at this workshop. In the Basque Country there are also projects in progress but in an atomized manner.

Date: June 11th. 11.00 a.m. (Ada Lovelace hall)
Place: Informatics Faculty UPV/EHU. Manuel Lardizabal 1, 20018 Donostia (map)
Language: English

11.00-11.30: Ricardo Etxepare: BIM project, Basque in the making (Sintaktikoki Etiketatutako Euskarazko Corpus Historikoa)
11.30-12.15: Martin Reynaert: Text-Induced Corpus Clean-up: current state-of-the-art
12.15-13.00: Eckhard Bick: Automatic Grammatical Annotation of Historical Brazilian Portuguese

Sponsors: UPPA  –  UPV/EHU  –  Clarin


Jornada abierta. 11 de Junio.

La recopilación, etiquetado, análisis y consulta de corpus históricos son tareas fundamentales en la investigación cuantitativa de la evolución lingüística y cultural. La colaboración entre las áreas de lingüística, historia y tecnología es necesaria para el éxito de los procesos mencionados.

Diversos proyectos internacionales se están llevando a cabo en este ámbito y en esta jornada se expondrán algunas de estas experiencias. En Euskal Herria también hay proyectos en marcha pero de forma atomizada.
Fecha: 11 de junio de 2018, 11.00. (Sala Ada Lovelace)
Lugar: Facultad de Informática UPV/EHU. Manuel Lardizabal 1, 20018 Donostia (mapa)
Idioma: inglés

11.00-11.30: Ricardo Etxepare: BIM project, Basque in the making (Sintaktikoki Etiketatutako Euskarazko Corpus Historikoa)
11.30-12.15: Martin Reynaert: Text-Induced Corpus Clean-up: current state-of-the-art
12.15-13.00: Eckhard Bick: Automatic Grammatical Annotation of Historical Brazilian Portuguese

Patrocinadores: UPPA  –  UPV/EHU  – Clarin


Be a friend of the Minority SafePack!

We call upon the EU to adopt a set of legal acts to improve the protection of persons belonging to national and linguistic minorities and strengthen cultural and linguistic diversity in the Union. It shall include policy actions in the areas of regional and minority languages, education and culture, regional policy, participation, equality, audiovisual and other media content, and also regional (state) support

A European citizens’ initiative is an invitation to the European Commission to propose legislation on matters where the EU has competence to legislate. A citizens’ initiative has to be backed by at least one million EU citizens, coming from at least 7 out of the 28 member states. A minimum number of signatories is required in each of those 7 member states.

Minority SafePackiniciative has got 849.888 signatures. 150.000 more are needed in two weeks.

 You can sign here

In the European Union there are about 50 million people who belong to a national minority or a minority language community.

Science journal: 'Ixa opens a new research avenue: Machine Translation without a dictionary?'

Science reported this week about the work recently published by our colleagues Mikel Artetxe, Eneko Agirre and Gorka Labaka: Artificial intelligence goes bilingual—without a dictionary
In October the 30th our three colleagues published a pre-print paper entitled  Unsupervised Neural Machine Translation in collaboration with Kyunghyun Cho.
One day later G. Lample published another paper with similar contents  entitled Unsupervised Machine Translation Using Monolingual Corpora Only. Both papers are under consideration at ICLR 2018.
Those are some sentences written by Matthew Hutson a freelance writer covering technology for Science:

[…] two new papers show that neural networks can learn to translate with no parallel texts—a surprising advance that could make documents in many languages more accessible.

[…]  Imagine that you give one person lots of Chinese books and lots of Arabic books—none of them overlapping—and the person has to learn to translate Chinese to Arabic. That seems impossible, right?” says the first author of one study, Mikel Artetxe, a computer scientist at the University of the Basque Country (UPV) in San Sebastián, Spain. “But we show that a computer can do that.”

[…]  “This is in infancy,” Artetxe’s co-author Eneko Agirre cautions. “We just opened a new research avenue, so we don’t know where it’s heading.”

[…] Artetxe says the fact that his method and Lample’s—uploaded to arXiv within a day of each other—are so similar is surprising. “But at the same time, it’s great. It means the approach is really in the right direction.”

Congratulations Mikel, Eneko, Gorka and Kyunghyun!

Course: Deep Learning for Natural Language Processing (4,5 ECTS, February)

Are the meanings of these two words related? (Eneko’s Google Award 2015)

Course: Deep Learning for Natural Language Processing

    Course open to anyone, see details and pre-requisite information below.
    Deep Learning neural network models have been successfully applied to natural language processing, and are now changing radically how we interact with machines (Siri, Amazon Alexa, Google Home, Skype translator, Google Translate, or the Google search engine). These models are able to infer a continuous representation for words and sentences, instead of using hand-engineered features as in other machine learning approaches. The seminar will introduce the main deep learning models used in natural language processing, allowing the attendees to gain hands-on understanding and implementation of them in Tensorflow.


Introduction to machine learning and NLP with Tensorflow, Deep learning, Word embeddings, Language modeling and recurrent neural networks, Convolutional neural networks, Attention mechanisms

Instructors :Eneko Agirre & Oier Lopez de Lacalle

Practical details

Part of the Language Analysis and Processing master program
Schedule: Twelve days, February 5-8, 19-22, 26-28 and March 1 (2018)
Time: 17:30 – 20:00
Where: Lab 0.1, Computer science faculty, San Sebastian
Teaching language: English
Capacity: 20 students (selected according to CV)
Price: 180€
4.5 ECTS credits


Pre-registration and contact: send an e-mail with CV to amaia.lorenzo@ehu.eus and e.agirre@ehu.eus
Pre-registration open: now to 24th of December
Prerequisite: Basic programming experience, a university-level course in computer science and experience in Python.
Basic math skills (algebra or pre-calculus) are also needed.