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Found 64 papers, 2 papers with code
Measuring text readability with machine comprehension: a pilot study
This article studies the relationship between text readability indice and automatic machine understanding systems.
How Bad are PoS Tagger in Cross-Corpora Settings? Evaluating Annotation Divergence in the UD Project.
The performance of Part-of-Speech tagging varies significantly across the treebanks of the Universal Dependencies project.
The WMT'18 Morpheval test suites for English-Czech, English-German, English-Finnish and Turkish-English
Progress in the quality of machine translation output calls for new automatic evaluation procedures and metrics.
Fixing Translation Divergences in Parallel Corpora for Neural MT
Corpus-based approaches to machine translation rely on the availability of clean parallel corpora.
Quantifying training challenges of dependency parsers
Not all dependencies are equal when training a dependency parser: some are straightforward enough to be learned with only a sample of data, others embed more complexity.
Automatically Selecting the Best Dependency Annotation Design with Dynamic Oracles
This work introduces a new strategy to compare the numerous conventions that have been proposed over the years for expressing dependency structures and discover the one for which a parser will achieve the highest parsing performance.
Exploiting Dynamic Oracles to Train Projective Dependency Parsers on Non-Projective Trees
Because the most common transition systems are projective, training a transition-based dependency parser often implies to either ignore or rewrite the non-projective training examples, which has an adverse impact on accuracy.
Divergences entre annotations dans le projet Universal Dependencies et leur impact sur l'\'evaluation des performance d'\'etiquetage morpho-syntaxique (Evaluating Annotation Divergences in the UD Project)
Ce travail montre que la d{\'e}gradation des performances souvent observ{\'e}e lors de l{'}application d{'}un analyseur morpho-syntaxique {\`a} des donn{\'e}es hors domaine r{\'e}sulte souvent d{'}incoh{\'e}rences entre les annotations des ensembles de test et d{'}apprentissage.
\'Evaluation morphologique pour la traduction automatique : adaptation au fran\ccais (Morphological Evaluation for Machine Translation : Adaptation to French)
Le nouvel {\'e}tat de l{'}art en traduction automatique (TA) s{'}appuie sur des m{\'e}thodes neuronales, qui diff{\'e}rent profond{\'e}ment des m{\'e}thodes utilis{\'e}es ant{\'e}rieurement.
Learning the Structure of Variable-Order CRFs: a finite-state perspective
The computational complexity of linear-chain Conditional Random Fields (CRFs) makes it difficult to deal with very large label sets and long range dependencies.
LIMSI@CoNLL'17: UD Shared Task
This paper describes LIMSI{'}s submission to the CoNLL 2017 UD Shared Task, which is focused on small treebanks, and how to improve low-resourced parsing only by ad hoc combination of multiple views and resources.
Normalisation automatique du vocabulaire source pour traduire depuis une langue \`a morphologie riche (Learning Morphological Normalization for Translation from Morphologically Rich Languages)
Lorsqu{'}ils sont traduits depuis une langue {\`a} morphologie riche vers l{'}anglais, les mots-formes sources contiennent des marques d{'}informations grammaticales pouvant {\^e}tre jug{\'e}es redondantes par rapport {\`a} l{'}anglais, causant une variabilit{\'e} formelle qui nuit {\`a} l{'}estimation des mod{\`e}les probabilistes.
Adaptation au domaine pour l'analyse morpho-syntaxique (Domain Adaptation for PoS tagging)
Ce travail cherche {\`a} comprendre pourquoi les performances d{'}un analyseur morpho-syntaxiques chutent fortement lorsque celui-ci est utilis{\'e} sur des donn{\'e}es hors domaine.
Don't Stop Me Now! Using Global Dynamic Oracles to Correct Training Biases of Transition-Based Dependency Parsers
This paper formalizes a sound extension of dynamic oracles to global training, in the frame of transition-based dependency parsers.
Parallel Sentence Compression
In this paper, we study ways to extend sentence compression in a bilingual context, where the goal is to obtain parallel compressions of parallel sentences.
Zero-resource Dependency Parsing: Boosting Delexicalized Cross-lingual Transfer with Linguistic Knowledge
This paper studies cross-lingual transfer for dependency parsing, focusing on very low-resource settings where delexicalized transfer is the only fully automatic option.
Lecture bilingue augment\'ee par des alignements multi-niveaux (Augmenting bilingual reading with alignment information)
Le travail qui a conduit {\`a} cette d{\'e}monstration combine des outils de traitement des langues multilingues, en particulier l{'}alignement automatique, avec des techniques de visualisation et d{'}interaction.
Apprentissage d'analyseur en d\'ependances cross-lingue par projection partielle de d\'ependances (Cross-lingual learning of dependency parsers from partially projected dependencies )
Cet article pr{\'e}sente une m{\'e}thode simple de transfert cross-lingue de d{\'e}pendances.
Ne nous arr\^etons pas en si bon chemin : am\'eliorations de l'apprentissage global d'analyseurs en d\'ependances par transition (Don't Stop Me Now ! Improved Update Strategies for Global Training of Transition-Based)
Dans cet article, nous proposons trois am{\'e}liorations simples pour l{'}apprentissage global d{'}analyseurs en d{\'e}pendances par transition de type A RC E AGER : un oracle non d{\'e}terministe, la reprise sur le m{\^e}me exemple apr{\`e}s une mise {\`a} jour et l{'}entra{\^\i}nement en configurations sous-optimales.
Novel elicitation and annotation schemes for sentential and sub-sentential alignments of bitexts
Resources for evaluating sentence-level and word-level alignment algorithms are unsatisfactory.
Cross-lingual and Supervised Models for Morphosyntactic Annotation: a Comparison on Romanian
Because of the small size of Romanian corpora, the performance of a PoS tagger or a dependency parser trained with the standard supervised methods fall far short from the performance achieved in most languages.
Apprentissage par imitation pour l'\'etiquetage de s\'equences : vers une formalisation des m\'ethodes d'\'etiquetage easy-first
Gr{\^a}ce au lien que nous faisons entre apprentissage structur{\'e} et apprentissage par renforcement, nous sommes en mesure de proposer une m{\'e}thode th{\'e}oriquement bien justifi{\'e}e pour apprendre des m{\'e}thodes d{'}inf{\'e}rence approch{\'e}e. Les exp{\'e}riences que nous r{\'e}alisons sur quatre t{\^a}ches de TAL valident l{'}approche propos{\'e}e.
Apprentissage discriminant des mod\`eles continus de traduction
Alors que les r{\'e}seaux neuronaux occupent une place de plus en plus importante dans le traitement automatique des langues, les m{\'e}thodes d{'}apprentissage actuelles utilisent pour la plupart des crit{\`e}res qui sont d{\'e}corr{\'e}l{\'e}s de l{'}application.
Oublier ce qu'on sait, pour mieux apprendre ce qu'on ne sait pas : une \'etude sur les contraintes de type dans les mod\`eles CRF
Quand on dispose de connaissances a priori sur les sorties possibles d{'}un probl{\`e}me d{'}{\'e}tiquetage, il semble souhaitable d{'}inclure cette information lors de l{'}apprentissage pour simplifier la t{\^a}che de mod{\'e}lisation et acc{\'e}l{\'e}rer les traitements.
Rule-based Reordering Space in Statistical Machine Translation
In Statistical Machine Translation (SMT), the constraints on word reorderings have a great impact on the set of potential translations that are explored.
A Corpus of Machine Translation Errors Extracted from Translation Students Exercises
In this paper, we present a freely available corpus of automatic translations accompanied with post-edited versions, annotated with labels identifying the different kinds of errors made by the MT system.
Joint Segmentation and POS Tagging for Arabic Using a CRF-based Classifier
Arabic is a morphologically rich language, and Arabic texts abound of complex word forms built by concatenation of multiple subparts, corresponding for instance to prepositions, articles, roots prefixes, or suffixes.
