Search Results for author:
Found 28 papers, 0 papers with code
A Corpus of Turkish Offensive Language on Social Media
This paper introduces a corpus of Turkish offensive language.
Reproduction and Replication: A Case Study with Automatic Essay Scoring
And third, we test the original system on a different dataset and a different language.
Cross-lingual morphological inflection with explicit alignment
This paper describes two related systems for cross-lingual morphological inflection for SIGMORPHON 2019 Shared Task participation.
Language Discrimination and Transfer Learning for Similar Languages: Experiments with Feature Combinations and Adaptation
This paper describes the work done by team tearsofjoy participating in the VarDial 2019 Evaluation Campaign.
Neural and Linear Pipeline Approaches to Cross-lingual Morphological Analysis
This paper describes T{\"u}bingen-Oslo team{'}s participation in the cross-lingual morphological analysis task in the VarDial 2019 evaluation campaign.
Using Universal Dependencies in cross-linguistic complexity research
We evaluate corpus-based measures of linguistic complexity obtained using Universal Dependencies (UD) treebanks.
Phonetic Vector Representations for Sound Sequence Alignment
This study explores a number of data-driven vector representations of the IPA-encoded sound segments for the purpose of sound sequence alignment.
Identifying Depression on Reddit: The Effect of Training Data
This paper presents a set of classification experiments for identifying depression in posts gathered from social media platforms.
Drug-Use Identification from Tweets with Word and Character N-Grams
This paper describes our systems in social media mining for health applications (SMM4H) shared task.
T\"ubingen-Oslo Team at the VarDial 2018 Evaluation Campaign: An Analysis of N-gram Features in Language Variety Identification
This paper describes our systems for the VarDial 2018 evaluation campaign.
T\"ubingen-Oslo at SemEval-2018 Task 2: SVMs perform better than RNNs in Emoji Prediction
This paper describes our participation in the SemEval-2018 task Multilingual Emoji Prediction.
Fewer features perform well at Native Language Identification task
In the speech track, an LDA classifier based only on i-vectors performed better than a combination system using text features from speech transcriptions and i-vectors.
Ranked #1 on
Native Language Identification
on italki NLI
CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
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.
Computational analysis of Gondi dialects
This paper presents a computational analysis of Gondi dialects spoken in central India.
T\"ubingen system in VarDial 2017 shared task: experiments with language identification and cross-lingual parsing
This paper describes our systems and results on VarDial 2017 shared tasks.
Universal Dependencies for Turkish
The Universal Dependencies (UD) project was conceived after the substantial recent interest in unifying annotation schemes across languages.
Discriminating Similar Languages with Linear SVMs and Neural Networks
This paper describes the systems we experimented with for participating in the discriminating between similar languages (DSL) shared task 2016.
LSTM Autoencoders for Dialect Analysis
Computational approaches for dialectometry employed Levenshtein distance to compute an aggregate similarity between two dialects belonging to a single language group.
A set of open source tools for Turkish natural language processing
This paper introduces a set of freely available, open-source tools for Turkish that are built around TRmorph, a morphological analyzer introduced earlier in Coltekin (2010).
