Publications related to Linguistics

United States politicians' tone became more negative with 2016 primary campaigns

Robert West, Andreas Oliver Spitz, Ahmad Abu-Akel

There is a widespread belief that the tone of political debate in the US has become more negative recently, in particular when Donald Trump entered politics. At the same time, there is disagreement as to whether Trump changed or merely continued previous t ...

NATURE PORTFOLIO2023

High gamma response tracks different syntactic structures in homophonous phrases

Silvestro Micera, Fiorenzo Artoni

Syntax is a species-specific component of human language combining a finite set of words in a potentially infinite number of sentences. Since words are by definition expressed by sound, factoring out syntactic information is normally impossible. Here, we c ...

NATURE PUBLISHING GROUP2020

Linked Books: un indice citazionale per la storia di Venezia

Matteo Romanello, Giovanni Colavizza

We present the outcomes of the Linked Books project, resulting in a prototype citation index interlinking the Italian national library catalog (Opac SBN) with the information system of the State Archive of Venice and international authority records or “met ...

2019

Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings

James Henderson

Distributed representations of words which map each word to a continuous vector have proven useful in capturing important linguistic information not only in a single language but also across different languages. Current unsupervised adversarial approaches ...

Association for Computational Linguistics2019

Predicting Group Performance in Task-Based Interaction

Catharine Regina Monika Maria Oertel Genannt Bierbach

We address the problem of automatically predicting group performance on a task, using multimodal features derived from the group conversation. These include acoustic features extracted from the speech signal, and linguistic features derived from the conver ...

ASSOC COMPUTING MACHINERY2018

Character-level Chinese-English Translation through ASCII Encoding

Mi Xue Tan

Character-level Neural Machine Translation(NMT) models have recently achieved impressive results on many language pairs. They mainly do well for Indo-European language pairs, where the languages share the same writing system. However, for translating betwe ...

Association for Computational Linguistics2018

Studying Linguistic Changes over 200 Years of Newspapers through Resilient Words Analysis

Frédéric Kaplan, Vincent Christian Buntinx, Cyril Antoine Michel Bornet

This paper presents a methodology to analyze linguistic changes in a given textual corpus allowing to overcome two common problems related to corpus linguistics studies. One of these issues is the monotonic increase of the corpus size with time, and the ot ...

2017

Towards Weakly Supervised Acoustic Subword Unit Discovery and Lexicon Development Using Hidden Markov Models

Ramya Rasipuram, Marzieh Razavi

Developing a phonetic lexicon for a language requires linguistic knowledge as well as human effort, which may not be available, particularly for under-resourced languages. An alternative to development of a phonetic lexicon is to automatically derive subwo ...

Idiap2017

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Linguistics

Non-verbal Communication between Humans and Robots: Imitation, Mutual Understanding and Inferring Object Properties

United States politicians' tone became more negative with 2016 primary campaigns

High gamma response tracks different syntactic structures in homophonous phrases

Linked Books: un indice citazionale per la storia di Venezia

Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings

Predicting Group Performance in Task-Based Interaction

Character-level Chinese-English Translation through ASCII Encoding

Studying Linguistic Changes over 200 Years of Newspapers through Resilient Words Analysis

Analyse multi-échelle de n-grammes sur 200 années d'archives de presse

Towards Weakly Supervised Acoustic Subword Unit Discovery and Lexicon Development Using Hidden Markov Models

Graph Chatbot

Chat with Graph Search

Non-verbal Communication between Humans and Robots: Imitation, Mutual Understanding and Inferring Object Properties

Predicting Group Performance in Task-Based Interaction

Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings

Studying Linguistic Changes over 200 Years of Newspapers through Resilient Words Analysis

Analyse multi-échelle de n-grammes sur 200 années d'archives de presse

United States politicians' tone became more negative with 2016 primary campaigns

Character-level Chinese-English Translation through ASCII Encoding

High gamma response tracks different syntactic structures in homophonous phrases

Linked Books: un indice citazionale per la storia di Venezia

Towards Weakly Supervised Acoustic Subword Unit Discovery and Lexicon Development Using Hidden Markov Models