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1
Universal Dependencies 2.9
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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2
Bi-directional Domain Adaptation Using Weighted MTL ...
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3
What's in a Span? Evaluating the Creativity of a Span-Based Neural Constituency Parser
In: Proceedings of the Society for Computation in Linguistics (2021)
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4
OCNLI: Original Chinese Natural Language Inference ...
Hu, Hai; Richardson, Kyle; Xu, Liang. - : arXiv, 2020
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5
MonaLog: a Lightweight System for Natural Language Inference Based on Monotonicity
In: Proceedings of the Society for Computation in Linguistics (2020)
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6
Language technology for digital humanities: introduction to the special issue [<Journal>]
Hinrichs, Erhard [Verfasser]; Hinrichs, Marie [Verfasser]; Kübler, Sandra [Verfasser].
DNB Subject Category Language
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7
MonaLog: a Lightweight System for Natural Language Inference Based on Monotonicity ...
Hu, Hai; Chen, Qi; Richardson, Kyle. - : arXiv, 2019
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8
[tiger2] As a standardized serialisation for ISO 24615 - SynAF
Pareja-Lora, Antonio [Verfasser]; Zeldes, Amir [Verfasser]; Romary, Laurent [Verfasser]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2018
DNB Subject Category Language
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9
Interrelating Treebanks with Language-Specific Descriptions of Information Structure
Kübler, Sandra [Herausgeber]; Hinrichs, Erhard [Herausgeber]; Wunsch, Holger [Herausgeber]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2018
DNB Subject Category Language
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10
Detecting Syntactic Features of Translated Chinese ...
Hu, Hai; Li, Wen; Kübler, Sandra. - : arXiv, 2018
Abstract: We present a machine learning approach to distinguish texts translated to Chinese (by humans) from texts originally written in Chinese, with a focus on a wide range of syntactic features. Using Support Vector Machines (SVMs) as classifier on a genre-balanced corpus in translation studies of Chinese, we find that constituent parse trees and dependency triples as features without lexical information perform very well on the task, with an F-measure above 90%, close to the results of lexical n-gram features, without the risk of learning topic information rather than translation features. Thus, we claim syntactic features alone can accurately distinguish translated from original Chinese. Translated Chinese exhibits an increased use of determiners, subject position pronouns, NP + 'de' as NP modifiers, multiple NPs or VPs conjoined by a Chinese specific punctuation, among other structures. We also interpret the syntactic features with reference to previous translation studies in Chinese, particularly the usage of ... : Accepted to 2nd Workshop on Stylistic Variation, NAACL 2018 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.1804.08756
https://arxiv.org/abs/1804.08756
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11
Sentiment Annotation of Historic German Plays: An Empirical Study on Annotation Behavior
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12
Sentiment Annotation of Historic German Plays: An Empirical Study on Annotation Behavior
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13
From Discourse Representation Structure to Event Semantics: A Simple Conversion?
Dakota, Daniel [Verfasser]; Kübler, Sandra [Verfasser]; Ganzha, Maria [Herausgeber]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2017
DNB Subject Category Language
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14
How to Compare Treebanks
Kübler, Sandra [Verfasser]; Maier, Wolfgang [Verfasser]; Rehbein, Ines [Verfasser]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2017
DNB Subject Category Language
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15
IUCL at SemEval-2016 Task 6: An Ensemble Model for Stance Detection in Twitter
Liu, Can [Verfasser]; Li, Wen [Verfasser]; Demarest, Bradford [Verfasser]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2017
DNB Subject Category Language
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16
Why is it so difficult to compare treebanks? TIGER and TüBa-D
Rehbein, Ines [Verfasser]; Van Genabith, Josef [Verfasser]; De Smedt, Koenraad [Herausgeber]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2017
DNB Subject Category Language
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17
Parsing German: How Much Morphology Do We Need?
Maier, Wolfgang [Verfasser]; Kübler, Sandra [Verfasser]; Dakota, Daniel [Verfasser]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2017
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18
“My Curiosity was Satisfied, but not in a Good Way”: Predicting User Ratings for Online Recipes
Liu, Can [Verfasser]; Guo, Chun [Verfasser]; Dakota, Daniel [Verfasser]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2017
DNB Subject Category Language
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19
Do FreeWord Order Languages Need More Treebank Data? Investigating Dative Alternation in German, English, and Russian
Gilmanov, Timur [Verfasser]; Abo Mokh, Noor [Verfasser]; Kim, Evgeny [Verfasser]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2017
DNB Subject Category Language
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20
Morphological features of the Irish universal dependency treebank
In: Lynn, Teresa, Foster, Jennifer orcid:0000-0002-7789-4853 and Dras, Mark (2017) Morphological features of the Irish universal dependency treebank. In: 15th International Workshop on Treebanks and Linguistic Theories (TLT15), 20-21 Jan 2017, Bloomington, IN, USA. (2017)
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