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Found 40 papers, 5 papers with code
IESTAC: English-Italian Parallel Corpus for End-to-End Speech-to-Text Machine Translation
We discuss a set of methods for the creation of IESTAC: a English-Italian speech and text parallel corpus designed for the training of end-to-end speech-to-text machine translation models and publicly released as part of this work.
Cause and Effect in Governmental Reports: Two Data Sets for Causality Detection in Swedish
Causality detection is the task of extracting information about causal relations from text.
Whit’s the Richt Pairt o Speech: PoS tagging for Scots
We find that training on a very small amount of Scots data was superior to zero-shot transfer from English.
Uppsala University at SemEval-2022 Task 1: Can Foreign Entries Enhance an English Reverse Dictionary?
In an additional experiment, using resources beyond the shared task, we use the training data in Russian and French to improve the English reverse dictionary using unsupervised embeddings alignment and machine translation.
SLäNDa version 2.0: Improved and Extended Annotation of Narrative and Dialogue in Swedish Literature
The main focus of the SLäNDa corpus is to distinguish between direct speech and the main narrative.
A Mention-Based System for Revision Requirements Detection
Exploring aspects of sentential meaning that are implicit or underspecified in context is important for sentence understanding.
Edition 1.2 of the PARSEME Shared Task on Semi-supervised Identification of Verbal Multiword Expressions
We present edition 1. 2 of the PARSEME shared task on identification of verbal multiword expressions (VMWEs).
Investigation of Transfer Languages for Parsing Latin: Italic Branch vs. Hellenic Branch
However, when parsing Latin, it has been suggested that languages such as ancient Greek could be helpful.
Uppsala NLP at SemEval-2021 Task 2: Multilingual Language Models for Fine-tuning and Feature Extraction in Word-in-Context Disambiguation
XLMR performs better than mBERT in the cross-lingual setting both with fine-tuning and feature extraction, whereas these two models give a similar performance in the multilingual setting.
SL\"aNDa: An Annotated Corpus of Narrative and Dialogue in Swedish Literary Fiction
We describe a new corpus, SL{\"a}NDa, the Swedish Literary corpus of Narrative and Dialogue.
Evaluating Word Embeddings for Indonesian--English Code-Mixed Text Based on Synthetic Data
Code-mixed texts are abundant, especially in social media, and poses a problem for NLP tools, which are typically trained on monolingual corpora.
Findings of the 2016 WMT Shared Task on Cross-lingual Pronoun Prediction
We describe the design, the evaluation setup, and the results of the 2016 WMT shared task on cross-lingual pronoun prediction.
What Should/Do/Can LSTMs Learn When Parsing Auxiliary Verb Constructions?
We find that the parser learns different information about AVCs and FMVs if only sequential models (BiLSTMs) are used in the architecture but similar information when a recursive layer is used.
Discourse-Related Language Contrasts in English-Croatian Human and Machine Translation
We present an analysis of a number of coreference phenomena in English-Croatian human and machine translations.
82 Treebanks, 34 Models: Universal Dependency Parsing with Multi-Treebank Models
We present the Uppsala system for the CoNLL 2018 Shared Task on universal dependency parsing.
An Investigation of the Interactions Between Pre-Trained Word Embeddings, Character Models and POS Tags in Dependency Parsing
We provide a comprehensive analysis of the interactions between pre-trained word embeddings, character models and POS tags in a transition-based dependency parser.
Parser Training with Heterogeneous Treebanks
How to make the most of multiple heterogeneous treebanks when training a monolingual dependency parser is an open question.
A BiLSTM-based System for Cross-lingual Pronoun Prediction
We describe the Uppsala system for the 2017 DiscoMT shared task on cross-lingual pronoun prediction.
Arc-Hybrid Non-Projective Dependency Parsing with a Static-Dynamic Oracle
In this paper, we extend the arc-hybrid system for transition-based parsing with a swap transition that enables reordering of the words and construction of non-projective trees.
Findings of the 2017 DiscoMT Shared Task on Cross-lingual Pronoun Prediction
We describe the design, the setup, and the evaluation results of the DiscoMT 2017 shared task on cross-lingual pronoun prediction.
From Raw Text to Universal Dependencies - Look, No Tags!
We present the Uppsala submission to the CoNLL 2017 shared task on parsing from raw text to universal dependencies.
On the practice of error analysis for machine translation evaluation
Error analysis is a means to assess machine translation output in qualitative terms, which can be used as a basis for the generation of error profiles for different systems.
Eye Tracking as a Tool for Machine Translation Error Analysis
We present a preliminary study where we use eye tracking as a complement to machine translation (MT) error analysis, the task of identifying and classifying MT errors.
Alignment-based reordering for SMT
The reordered text is used to create a second word alignment which can be an improvement of the first alignment, since the word order is more similar.
