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Hits 121 – 140 of 163

121
Measuring the Similarity of Grammatical Gender Systems by Comparing Partitions ...
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122
Morphologically Aware Word-Level Translation ...
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123
Predicting Declension Class from Form and Meaning ...
Williams, Adina; Pimentel, Tiago; Blix, Hagen. - : ETH Zurich, 2020
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124
Examining Gender Bias in Languages with Grammatical Gender ...
Zhou, Pei; Shi, Weijia; Zhao, Jieyu. - : arXiv, 2019
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125
Contextualization of Morphological Inflection ...
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126
The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection ...
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127
Uncovering Probabilistic Implications in Typological Knowledge Bases ...
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128
On the Distribution of Deep Clausal Embeddings: A Large Cross-linguistic Study ...
Blasi, Damian; Cotterell, Ryan; Wolf-Sonkin, Lawrence. - : Association for Computational Linguistics, 2019
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129
On the Idiosyncrasies of the Mandarin Chinese Classifier System ...
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130
Combining Sentiment Lexica with a Multi-View Variational Autoencoder ...
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131
Don't Forget the Long Tail! A Comprehensive Analysis of Morphological Generalization in Bilingual Lexicon Induction ...
Abstract: Human translators routinely have to translate rare inflections of words - due to the Zipfian distribution of words in a language. When translating from Spanish, a good translator would have no problem identifying the proper translation of a statistically rare inflection such as habláramos. Note the lexeme itself, hablar, is relatively common. In this work, we investigate whether state-of-the-art bilingual lexicon inducers are capable of learning this kind of generalization. We introduce 40 morphologically complete dictionaries in 10 languages and evaluate three of the state-of-the-art models on the task of translation of less frequent morphological forms. We demonstrate that the performance of state-of-the-art models drops considerably when evaluated on infrequent morphological inflections and then show that adding a simple morphological constraint at training time improves the performance, proving that the bilingual lexicon inducers can benefit from better encoding of morphology. ... : EMNLP 2019 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/1909.02855
https://dx.doi.org/10.48550/arxiv.1909.02855
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132
Quantifying the Semantic Core of Gender Systems ...
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133
Unsupervised Discovery of Gendered Language through Latent-Variable Modeling ...
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134
Morphological Word Embeddings ...
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135
Are All Languages Equally Hard to Language-Model?
In: Proceedings of the Society for Computation in Linguistics (2019)
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136
Rethinking Phonotactic Complexity
In: Proceedings of the Society for Computation in Linguistics (2019)
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137
On the Complexity and Typology of Inflectional Morphological Systems
In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 327-342 (2019) (2019)
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138
Generalizing Procrustes Analysis for Better Bilingual Dictionary Induction ...
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139
Marrying Universal Dependencies and Universal Morphology ...
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140
On the Complexity and Typology of Inflectional Morphological Systems ...
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