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Related Papers

How Does Grammatical Gender Affect Noun Representations in Gender-Marking Languages?

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractMany natural languages assign grammatical gender also to inanimate nouns in the language. In such languages, words that relate to the gender-marked nouns are inflected to agree with the noun’s …...

41708

Quantifying the Semantic Core of Gender Systems

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractMany of the world’s languages employ grammatical gender on the lexeme. For instance, in Spanish, house “casa” is feminine, whereas the word for paper “papel” is masculine. To a speaker …...

8939

Cross-lingual Embeddings Reveal Universal and Lineage-Specific Patterns in Grammatical Gender Assignment

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractGrammatical gender is assigned to nouns differently in different languages. Are all factors that influence gender assignment idiosyncratic to languages or are there any that are universal? Using cross-lingual aligned …...

41606

Measuring the Similarity of Grammatical Gender Systems by Comparing Partitions

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractA grammatical gender system divides a lexicon into a small number of relatively fixed grammatical categories. How similar are these gender systems across languages? To quantify the similarity, we define …...

30156

Using Wiktionary to Create Specialized Lexical Resources and Datasets

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractThis paper describes an approach aiming at utilizing Wiktionary data for creating specialized lexical datasets which can be used for enriching other lexical (semantic) resources or for generating datasets that …...

15317

Do online Machine Translation Systems Care for Context? What About a GPT Model?

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractThis paper addresses the challenges of evaluating document-level machine translation (MT) in the context of recent advances in context-aware neural machine translation (NMT). It investigates how well online MT systems …...

2967

Naturalistic Causal Probing for Morpho-Syntax

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractProbing has become a go-to methodology for interpreting and analyzing deep neural models in natural language processing. However, there is still a lack of understanding of the limitations and weaknesses …...

27012