Publications

In press

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. (2016).

Dutch Compound Splitting for Bilingual Terminology Extraction

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

SCATE Taxonomy and Corpus of Machine Translation Errors

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

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).

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

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

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).

A Neural Network Architecture for Detecting Grammatical Errors in Statistical Machine Translation

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

2016

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

Aerts, W. (2016).

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

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

A corpus-based, statistical approach to translation quality

Cappelle, B., De Clercq, O., & Look, R. (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).

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).

Computers en plagiaatdetectie

De Clercq, O. (2016).

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

De Clercq, O. (2016).

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

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

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

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

The Readability of Sustainability Reporting and its Interaction with Company Performance

Hoste, V., & Aerts, W. (2016).

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

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

A hybrid approach to domain-independent taxonomy learning

Lefever, E. (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).

My experiences writing a terminology thesis, working as a DGT trainee and my first steps in the professional world

Rigouts Terryn, A. (2016).

Multi-modular text normalization of Dutch user-generated content

Schulz, S., De Pauw, G., De Clercq, O., Desmet, B., Hoste, V., Daelemans, W., & Macken, L. (2016).

Detecting grammatical errors in machine translation output using dependency parsing and treebank querying

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

UGENT-LT3 SCATE Submission for WMT16 Shared Task on Quality Estimation

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

Guidelines for Annotating Irony in Social Media Text, version 2.0

Van Hee, C., Lefever, E., & Hoste, V. (2016).

Exploring the realization of irony in Twitter data

Van Hee, C., Lefever, E., & Hoste, V. (2016).

What does the bird say? Exploring the link between personality and language use in Dutch tweets

Vandenhoven, S., & De Clercq, O. (2016).

The GW/LT3 VarDial 2016 Shared Task System for Dialects and Similar Languages Detection

Zirikly, A., Desmet, B., & Diab, M. (2016).

2015

The impact of machine translation error types on post-editing effort indicators

Daems, J, Vandepitte, S., Hartsuiker, R., & Macken, L. (2015).

Comparing HT and PE using advanced research tools

Daems, J, Vandepitte, S., Hartsuiker, R., & Macken, L. (2015).

Tipping the scales: exploring the added value of deep semantic processing on readability prediction and sentiment analysis

De Clercq, O. (2015).

Applying hybrid terminology extraction to aspect-based sentiment analysis

De Clercq, O., Van de Kauter, M., Lefever, E., & Hoste, V. (2015).

Sustainability report readability prediction: an NLP expansion on the tried-and-true formulae

De Clercq, O., & Hoste, V. (2015).

Terminology Extraction to Aspect-Based Sentiment Analysis

De Clercq, O., Van de Kauter, M., Lefever, E., & Hoste, V. (2015).

Suicidality Detection in Social Media

Desmet, B., & Hoste, V. (2015).

Online suicide risk detection using automatic text classification

Desmet, B., Pauwels, K., & Hoste, V. (2015).

The efficacy of terminology-extraction systems for the translation of documentaries

Hanoulle, S., Hoste, V., & Remael, A. (2015).

Automatic Emotion Detection in Social Media for on the fly Organizational Crisis Communication

Karolien, P., & Hoste, V. (2015).

LT3: a multi-modular approach to automatic taxonomy construction

Lefever, E. (2015).

Very quaffable and great fun: applying NLP to wine reviews

Lefever, E., Hendrickx, I., & van den Bosch, A. (2015).