1. Home
  2. Publications

Publications

In press

SCATE Taxonomy and Corpus of Machine Translation Errors

Tezcan, A., Hoste, V., & Macken, L. (2016).

Treebank querying with GrETEL 3: bigger, faster, stronger

Augustinus, L., Vanroy, B., & Vandeghinste, V. (2017).

How do students cope with machine translation output of Multi-Word Units? An exploratory study

Daems, J, Carl, M., Vandepitte, S., Hartsuiker, R., & Macken, L. (2018).

Reactions to Brexit in images : a multimodal content analysis of shared visual content on Flickr

De Clercq, O., Manchia, V., & Garcia, D. (2018).

Dutch Compound Splitting for Bilingual Terminology Extraction

Macken, L., & Tezcan, A. (2018).

Measuring the readability of sustainability reports : a corpus-based analysis through standard formulae and NLP

Smeuninx, N., De Clerck, B., & Aerts, W. (2018).

Exploring the fine-grained analysis and automatic detection of irony on Twitter

Van Hee, C., Lefever, E., & Hoste, V. (2018).

2018

LT3 at SemEval-2018 Task 1 : a classifier chain to detect emotions in tweets

De Bruyne, L., De Clercq, O., & Hoste, V. (2018).

Online suicide prevention through optimised text classification

Desmet, B., & Hoste, V. (2018).

A fine-grained error analysis of NMT, PBMT and RBMT output for English-to-Dutch

Tezcan, A., & Macken, L. (2018).

2017

Improved treebank querying: a facelift for GrETEL

Augustinus, L., Vanroy, B., & Vandeghinste, V. (2017).

Cartoons as interdiscourse : a quali-quantitative analysis of social representations based on collective imagination in cartoons produced after the Charlie Hebdo attack

Bouko, C., Calabrese, L., & De Clercq, O. (2017).

Towards a corpus-based, statistical approach of translation quality : measuring and visualizing linguistic deviance in student translations

Cappelle, B., De Clercq, O., & Loock, R. (2017).

STYLENE : an environment for stylometry and readability research for Dutch

Daelemans, W., De Clercq, O., & Hoste, V. (2017).

Translation methods and experience : a comparative analysis of human translation and post-editing with students and professional translators

Daems, J, Vandepitte, S., Hartsuiker, R., & Macken, L. (2017).

Translationese and post-editese : how comparable is comparable quality?

Daems, J, De Clercq, O., & Macken, L. (2017).

Identifying the machine translation error types with the greatest impact on post-editing effort

Daems, J, Vandepitte, S., Hartsuiker, R., & Macken, L. (2017).

Hello ABSA! Collaboration between LT3 and Hello Customer to develop an aspect-based sentiment analysis pipeline

De Clercq, O., Lefever, E., Jacobs, G., Carpels, T., & Hoste, V. (2017).

Towards an integrated pipeline for aspect-based sentiment analysis in various domains

De Clercq, O., Lefever, E., Jacobs, G., Carpels, T., & Hoste, V. (2017).

Online suicidality detection: can we help the helper?

Desmet, B., & Hoste, V. (2017).

An automatic part-of-speech tagger for Middle Low German

Koleva, M., Desmet, B., Breitbarth, A., & Hoste, V. (2017).

In the eye of the beer-holder : lexical descriptors of aroma and taste sensations in beer reviews

Lefever, E., & Jacobs, G. (2017).

Hoe een computer zelf leert vertalen

Macken, L. (2017).

Conceptualizing translation revision competence: a pilot study on the acquisition of the knowledge-about-revision and strategic subcompetences

Rigouts Terryn, A., Robert, I., Ureel, J., remael, A., & Hanoulle, S. (2017).

Conceptualizing translation revision competence : a pilot study on the ‘tools and research’ subcompetence

Robert, I., Rigouts Terryn, A., Ureel, J., & Remael, A. (2017).

SCATE taxonomy and corpus of machine translation errors

Tezcan, A., Hoste, V., & Macken, L. (2017).

A neural network architecture for detecting grammatical errors in statistical machine translation

Tezcan, A., Hoste, V., & Macken, L. (2017).

Noise or music? Investigating the usefulness of normalisation for robust sentiment analysis on social media data

Van Hee, C., Van de Kauter, M., De Clercq, O., Lefever, E., & Hoste, V. (2017).

Querying large treebanks : benchmarking GrETEL indexing

Vanroy, B., Vandeghinste, V., & Augustinus, L. (2017).

2016

SemEval-2016 Task 13: Taxonomy Extraction Evaluation (TExEval-2)

Bordea, G., Lefever, E., & Buitelaar, P. (2016).

A translation robot for each translator? A comparative study of manual translation and post-editing of machine translations: process, quality and translator attitude

Daems, J (2016).

The effectiveness of consulting external resources during translation and postediting of general text types

Daems, J, Carl, M., Vandepitte, S., Hartsuiker, R., & Macken, L. (2016).

Rude waiter but mouthwatering pastries! An exploratory study into Dutch aspect-based sentiment analysis

De Clercq, O., & Hoste, V. (2016).

Computers en plagiaatdetectie

De Clercq, O. (2016).

All mixed up? Finding the optimal feature set for general readability prediction and its application to English and Dutch

De Clercq, O., & Hoste, V. (2016).

The many aspects of fine-grained sentiment analysis : an overview of the task and its main challenges

De Clercq, O. (2016).

Mental distress detection and triage in forum posts: the LT3 CLPsych 2016 shared task system

Desmet, B., Jacobs, G., & Hoste, V. (2016).

Mirativity and rhetorical structure: The development of disjunct and anaphoric adverbials no wonder.

Gentens, C., Kimps, D., Davidse, K., Jacobs, G., Van linden, A., & Brems, L. (2016).

Very quaffable and great fun: applying NLP to wine reviews

Hendrickx, I., Lefever, E., Croijmans, I., Majid, A., & van den Bosch, A. (2016).

TripleSent: a triple store of events associated with their prototypical sentiment

Hoste, V., Lefever, E., & Desmet, B. (2016).

Classifier optimization for cyberbully detection: finding the needle in the haystack

Jacobs, G. (2016).

A hybrid approach to domain-independent taxonomy learning

Lefever, E. (2016).

A classification-based approach to economic event detection in Dutch news text

Lefever, E., & Hoste, V. (2016).

SemEval-2016 task 5 : aspect based sentiment analysis

Pontiki, M., Galanis, D., Papageorgiou, H., Androutsopoulos, I., Manandhar, S., AL-Smadi, M., Al-Ayyoub, M., Zhao, Y., Qin, B., De Clercq, O., Hoste, V., Apidianaki, M., Tannier, X., Loukachevitch, N., Kotelnikov, E., Bel, N., Jiménez-Zafra, S., & Eryiğit, G. (2016).

Dutch hypernym detection: does decompounding help?

Rigouts Terryn, A., Macken, L., & Lefever, E. (2016).