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1
Priorless Recurrent Networks Learn Curiously ...
The 28th International Conference on Computational Linguistics 2020
;
Bowers, Jeff
;
Mitchell, Jeff
. - : Underline Science Inc., 2020
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2
Character Alignment in Morphologically Complex Translation Sets for Related Languages ...
The 28th International Conference on Computational Linguistics 2020
;
Ephrem, Binyam
;
Gasser, Michael
. - : Underline Science Inc., 2020
BASE
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3
Composing Byte-Pair Encodings for Morphological Sequence Classification ...
The 28th International Conference on Computational Linguistics 2020
;
Bernardy, Jean-Philipe
;
Ek, Adam
. - : Underline Science Inc., 2020
BASE
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4
Variation in Universal Dependencies annotation: A token based typological case study on adpossessive constructions ...
The 28th International Conference on Computational Linguistics 2020
;
Haakama, Viljami
;
Sinnemäki, Kaius
. - : Underline Science Inc., 2020
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5
Corpus evidence for word order freezing in Russian and German ...
The 28th International Conference on Computational Linguistics 2020
;
Berdicevskis, Aleksandrs
;
Piperski, Alexander
. - : Underline Science Inc., 2020
Abstract:
We use Universal Dependencies treebanks to test whether a well-known typological trade-off between word order freedom and richness of morphological marking of core arguments holds within individual languages. Using Russian and German treebank data, we show that the following phenomenon (sometimes dubbed word order freezing) does occur: those sentences where core arguments cannot be distinguished by morphological means (due to case syncretism or other kinds of ambiguity) have more rigid order of subject, verb and object than those where unambiguous morphological marking is present. In ambiguous clauses, word order is more often equal to the one which is default or dominant (most frequent) in the language. While Russian and German differ with respect to how exactly they mark core arguments, the effect of morphological ambiguity is significant in both languages. It is, however, small, suggesting that languages do adapt to the evolutionary pressure on communicative efficiency and avoidance of redundancy, but ...
Keyword:
Computer and Information Science
;
Natural Language Processing
;
Neural Network
URL:
https://dx.doi.org/10.48448/rgn3-7512
https://underline.io/lecture/6552-corpus-evidence-for-word-order-freezing-in-russian-and-german
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6
An analysis of language models for metaphor recognition ...
The 28th International Conference on Computational Linguistics 2020
;
Markert, Katja
;
Neidlein, Arthur
. - : Underline Science Inc., 2020
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7
Noise Isn't Always Negative: Countering Exposure Bias in Sequence-to-Sequence Inflection Models ...
The 28th International Conference on Computational Linguistics 2020
;
Nicolai, Garrett
;
Silfverberg, Miikka
. - : Underline Science Inc., 2020
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8
Exhaustive Entity Recognition for Coptic - Challenges and Solutions ...
The 28th International Conference on Computational Linguistics 2020
;
Martin, Lance
;
Tu, Sichang
. - : Underline Science Inc., 2020
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9
Imagining Grounded Conceptual Representations from Perceptual Information in Situated Guessing Games ...
The 28th International Conference on Computational Linguistics 2020
;
Bastianelli, Emanuele
;
Bisk, Yonatan
. - : Underline Science Inc., 2020
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10
Attentively Embracing Noise for Robust Latent Representation in BERT ...
The 28th International Conference on Computational Linguistics 2020
;
Cunha Sergio, Gwenaelle
;
Lee, Minho
. - : Underline Science Inc., 2020
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11
Catching Attention with Automatic Pull Quote Selection ...
The 28th International Conference on Computational Linguistics 2020
;
Bohn, Tanner
. - : Underline Science Inc., 2020
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12
Opening Ceremony ...
The 28th International Conference on Computational Linguistics 2020
;
Scott, Donia
. - : Underline Science Inc., 2020
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13
Classifier Probes May Just Learn from Linear Context Features ...
The 28th International Conference on Computational Linguistics 2020
;
Kuhlmann, Marco
;
Kunz, Jenny
. - : Underline Science Inc., 2020
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14
Seeing the world through text: Evaluating image descriptions for commonsense reasoning in machine reading comprehension ...
The 28th International Conference on Computational Linguistics 2020
;
Galvan-Sosa, Diana
;
Inui, Kentaro
. - : Underline Science Inc., 2020
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15
Part 6 - Cross-linguistic Studies ...
The 28th International Conference on Computational Linguistics 2020
;
., Omri
. - : Underline Science Inc., 2020
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16
Manifold Learning-based Word Representation Refinement Incorporating Global and Local Information ...
The 28th International Conference on Computational Linguistics 2020
;
Chen, Jinjun
;
Li , Lin
. - : Underline Science Inc., 2020
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17
HMSid and HMSid2 at PARSEME Shared Task 2020: Computational Corpus Linguistics and unseen-in-training MWEs ...
The 28th International Conference on Computational Linguistics 2020
;
Colson, Jean-Pierre
. - : Underline Science Inc., 2020
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18
Multi-dialect Arabic BERT for Country-level Dialect Identification ...
The 28th International Conference on Computational Linguistics 2020
;
Ali, Mohammad
;
Al-Natsheh, Hussein
. - : Underline Science Inc., 2020
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19
Autoencoding Improves Pre-trained Word Embeddings ...
The 28th International Conference on Computational Linguistics 2020
;
Bollegala, Danushka
;
Kaneko, Masahiro
. - : Underline Science Inc., 2020
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20
Exploring End-to-End Differentiable Natural Logic Modeling ...
The 28th International Conference on Computational Linguistics 2020
;
Feng, Yufei
;
Greenspan, Michael
. - : Underline Science Inc., 2020
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