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Found 38 papers, 7 papers with code
Are Sounds Sound for Phylogenetic Reconstruction?
In traditional studies on language evolution, scholars often emphasize the importance of sound laws and sound correspondences for phylogenetic inference of language family trees.
What do complexity measures measure? Correlating and validating corpus-based measures of morphological complexity
We present an analysis of eight measures used for quantifying morphological complexity of natural languages.
Are pre-trained text representations useful for multilingual and multi-dimensional language proficiency modeling?
Our results indicate that while fine-tuned embeddings are useful for multilingual proficiency modeling, none of the features achieve consistently best performance for all dimensions of language proficiency.
Probing Multilingual BERT for Genetic and Typological Signals
We probe the layers in multilingual BERT (mBERT) for phylogenetic and geographic language signals across 100 languages and compute language distances based on the mBERT representations.
Disentangling dialects: a neural approach to Indo-Aryan historical phonology and subgrouping
This paper seeks to uncover patterns of sound change across Indo-Aryan languages using an LSTM encoder-decoder architecture.
Sigmorphon 2019 Task 2 system description paper: Morphological analysis in context for many languages, with supervision from only a few
While our system results are dramatically below the average system submitted for the shared task evaluation campaign, our method is (we suspect) unique in its minimal reliance on labeled training data.
Regression or classification? Automated Essay Scoring for Norwegian
In this paper we present first results for the task of Automated Essay Scoring for Norwegian learner language.
An Automated Framework for Fast Cognate Detection and Bayesian Phylogenetic Inference in Computational Historical Linguistics
We present a fully automated workflow for phylogenetic reconstruction on large datasets, consisting of two novel methods, one for fast detection of cognates and one for fast Bayesian phylogenetic inference.
Using Universal Dependencies in cross-linguistic complexity research
We evaluate corpus-based measures of linguistic complexity obtained using Universal Dependencies (UD) treebanks.
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.
Iterative development of family history annotation guidelines using a synthetic corpus of clinical text
In this article, we describe the development of annotation guidelines for family history information in Norwegian clinical text.
Similarity Dependent Chinese Restaurant Process for Cognate Identification in Multilingual Wordlists
We present and evaluate two similarity dependent Chinese Restaurant Process (sd-CRP) algorithms at the task of automated cognate detection.
Tübingen-Oslo system: Linear regression works the best at Predicting Current and Future Psychological Health from Childhood Essays in the CLPsych 2018 Shared Task
We experimented with a number of different models, including recurrent and convolutional networks, Poisson regression, support vector regression, and L1 and L2 regularized linear regression.
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.
Towards identifying the optimal datasize for lexically-based Bayesian inference of linguistic phylogenies
The assumption here is that the value of n for which the quartet distance begins to stabilize is also the value at which the quality of the tree ceases to improve.
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.
Three tree priors and five datasets: A study of the effect of tree priors in Indo-European phylogenetics
The root age of the Indo-European family has tended to decrease from an age that supported the Anatolian origin hypothesis to an age that supports the Steppe origin hypothesis with the application of new models (Chang et al., 2015).
Experiments with Universal CEFR Classification
The Common European Framework of Reference (CEFR) guidelines describe language proficiency of learners on a scale of 6 levels.
Are Automatic Methods for Cognate Detection Good Enough for Phylogenetic Reconstruction in Historical Linguistics?
We evaluate the performance of state-of-the-art algorithms for automatic cognate detection by comparing how useful automatically inferred cognates are for the task of phylogenetic inference compared to classical manually annotated cognate sets.
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
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.
Computational analysis of Gondi dialects
This paper presents a computational analysis of Gondi dialects spoken in central India.
Fast and unsupervised methods for multilingual cognate clustering
In this paper we explore the use of unsupervised methods for detecting cognates in multilingual word lists.
Siamese Convolutional Networks for Cognate Identification
In this paper, we present phoneme level Siamese convolutional networks for the task of pair-wise cognate identification.
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.
Chinese Restaurant Process for cognate clustering: A threshold free approach
In this paper, we introduce a threshold free approach, motivated from Chinese Restaurant Process, for the purpose of cognate clustering.
Siamese convolutional networks based on phonetic features for cognate identification
In this paper, we explore the use of convolutional networks (ConvNets) for the purpose of cognate identification.
Empirical Evaluation of Tree distances for Parser Evaluation
In this empirical study, I compare various tree distance measures -- originally developed in computational biology for the purpose of tree comparison -- for the purpose of parser evaluation.
Gap-weighted subsequences for automatic cognate identification and phylogenetic inference
The contribution of this paper is the use of subsequence features for cognate identification and to employ the cognate judgments for phylogenetic inference.
Linguistic landscaping of South Asia using digital language resources: Genetic vs. areal linguistics
Like many other research fields, linguistics is entering the age of big data.
Does Syntactic Knowledge help English-Hindi SMT?
In this paper we explore various parameter settings of the state-of-art Statistical Machine Translation system to improve the quality of the translation for a `distant' language pair like English-Hindi.
Properties of phoneme N -grams across the world's language families
We investigate if the sizes of three different N-gram distributions of the world's language families obey a power law.
Quantitative methods for Phylogenetic Inference in Historical Linguistics: An experimental case study of South Central Dravidian
In this paper we examine the usefulness of two classes of algorithms Distance Methods, Discrete Character Methods (Felsenstein and Felsenstein 2003) widely used in genetics, for predicting the family relationships among a set of related languages and therefore, diachronic language change.
