Representation of Morphosyntactic Units and Coordination Structures in the Turkish Dependency Treebank

no code implementations • WS 2013 • Umut Sulubacak, G{\"u}l{\c{s}}en Eryi{\u{g}}it

Constituency Parsing Dependency Parsing

The Annotation Process of the ITU Web Treebank

no code implementations • WS 2015 • Tu{\u{g}}ba Pamay, Umut Sulubacak, Dilara Toruno{\u{g}}lu-Selamet, G{\"u}l{\c{s}}en Eryi{\u{g}}it

Annotation and Extraction of Multiword Expressions in Turkish Treebanks

no code implementations • WS 2015 • G{\"u}l{\c{s}}en Eryi{\v{g}}it, K{\"u}bra Adali, Dilara Toruno{\u{g}}lu-Selamet, Umut Sulubacak, Tu{\u{g}}ba Pamay

Machine Translation

Universal Dependencies for Turkish

no code implementations • COLING 2016 • Umut Sulubacak, Memduh Gokirmak, Francis Tyers, {\c{C}}a{\u{g}}r{\i} {\c{C}}{\"o}ltekin, Joakim Nivre, G{\"u}l{\c{s}}en Eryi{\u{g}}it

The Universal Dependencies (UD) project was conceived after the substantial recent interest in unifying annotation schemes across languages.

CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies

no code implementations • CONLL 2017 • Daniel Zeman, Martin Popel, Milan Straka, Jan Haji{\v{c}}, Joakim Nivre, Filip Ginter, Juhani Luotolahti, Sampo Pyysalo, Slav Petrov, Martin Potthast, Francis Tyers, Elena Badmaeva, Memduh Gokirmak, Anna Nedoluzhko, Silvie Cinkov{\'a}, Jan Haji{\v{c}} jr., Jaroslava Hlav{\'a}{\v{c}}ov{\'a}, V{\'a}clava Kettnerov{\'a}, Zde{\v{n}}ka Ure{\v{s}}ov{\'a}, Jenna Kanerva, Stina Ojala, Anna Missil{\"a}, Christopher D. Manning, Sebastian Schuster, Siva Reddy, Dima Taji, Nizar Habash, Herman Leung, Marie-Catherine de Marneffe, Manuela Sanguinetti, Maria Simi, Hiroshi Kanayama, Valeria de Paiva, Kira Droganova, H{\'e}ctor Mart{\'\i}nez Alonso, {\c{C}}a{\u{g}}r{\i} {\c{C}}{\"o}ltekin, Umut Sulubacak, Hans Uszkoreit, Vivien Macketanz, Aljoscha Burchardt, Kim Harris, Katrin Marheinecke, Georg Rehm, Tolga Kayadelen, Mohammed Attia, Ali Elkahky, Zhuoran Yu, Emily Pitler, Saran Lertpradit, M, Michael l, Jesse Kirchner, Hector Fern Alcalde, ez, Jana Strnadov{\'a}, Esha Banerjee, Ruli Manurung, Antonio Stella, Atsuko Shimada, Sookyoung Kwak, Gustavo Mendon{\c{c}}a, L, Tatiana o, Rattima Nitisaroj, Josie Li

The Conference on Computational Natural Language Learning (CoNLL) features a shared task, in which participants train and test their learning systems on the same data sets.

Dependency Parsing

The MeMAD Submission to the WMT18 Multimodal Translation Task

no code implementations • WS 2018 • Stig-Arne Grönroos, Benoit Huet, Mikko Kurimo, Jorma Laaksonen, Bernard Merialdo, Phu Pham, Mats Sjöberg, Umut Sulubacak, Jörg Tiedemann, Raphael Troncy, Raúl Vázquez

Our experiments show that the effect of the visual features in our system is small.

Multimodal Machine Translation NMT +1

The MeMAD Submission to the IWSLT 2018 Speech Translation Task

no code implementations • IWSLT (EMNLP) 2018 • Umut Sulubacak, Jörg Tiedemann, Aku Rouhe, Stig-Arne Grönroos, Mikko Kurimo

In this paper, we also describe the experiments leading up to our final systems.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +4

The University of Helsinki submissions to the WMT19 news translation task

no code implementations • WS 2019 • Aarne Talman, Umut Sulubacak, Raúl Vázquez, Yves Scherrer, Sami Virpioja, Alessandro Raganato, Arvi Hurskainen, Jörg Tiedemann

In this paper, we present the University of Helsinki submissions to the WMT 2019 shared task on news translation in three language pairs: English-German, English-Finnish and Finnish-English.

Sentence Translation

Normalizing Non-canonical Turkish Texts Using Machine Translation Approaches

no code implementations • ACL 2019 • Talha {\c{C}}olako{\u{g}}lu, Umut Sulubacak, Ahmet C{\"u}neyd Tantu{\u{g}}

With the growth of the social web, user-generated text data has reached unprecedented sizes.

Machine Translation Translation

The University of Helsinki Submission to the WMT19 Parallel Corpus Filtering Task

no code implementations • WS 2019 • Ra{\'u}l V{\'a}zquez, Umut Sulubacak, J{\"o}rg Tiedemann

This paper describes the University of Helsinki Language Technology group{'}s participation in the WMT 2019 parallel corpus filtering task.

General Classification Sentence

Multimodal Machine Translation through Visuals and Speech

no code implementations • 28 Nov 2019 • Umut Sulubacak, Ozan Caglayan, Stig-Arne Grönroos, Aku Rouhe, Desmond Elliott, Lucia Specia, Jörg Tiedemann

Multimodal machine translation involves drawing information from more than one modality, based on the assumption that the additional modalities will contain useful alternative views of the input data.

Image Captioning Multimodal Machine Translation +4

OpusTools and Parallel Corpus Diagnostics

no code implementations • LREC 2020 • Mikko Aulamo, Umut Sulubacak, Sami Virpioja, J{\"o}rg Tiedemann

We show the use of these tools in parallel corpus creation and data diagnostics.

Language Identification

The University of Helsinki Submission to the IWSLT2020 Offline SpeechTranslation Task

no code implementations • WS 2020 • Ra{\'u}l V{\'a}zquez, Mikko Aulamo, Umut Sulubacak, J{\"o}rg Tiedemann

This paper describes the University of Helsinki Language Technology group{'}s participation in the IWSLT 2020 offline speech translation task, addressing the translation of English audio into German text.

Transfer Learning Translation

MT for Subtitling: Investigating professional translators’ user experience and feedback

no code implementations • AMTA 2020 • Maarit Koponen, Umut Sulubacak, Kaisa Vitikainen, Jörg Tiedemann

MT for subtitling: User evaluation of post-editing productivity

no code implementations • EAMT 2020 • Maarit Koponen, Umut Sulubacak, Kaisa Vitikainen, Jörg Tiedemann

This paper presents a user evaluation of machine translation and post-editing for TV subtitles.

Machine Translation Translation