Cross-linguistic differences in gender congruency effects: Evidence from
meta-analyses
- URL: http://arxiv.org/abs/2109.03490v4
- Date: Wed, 26 Apr 2023 14:55:57 GMT
- Title: Cross-linguistic differences in gender congruency effects: Evidence from
meta-analyses
- Abstract summary: It has been proposed that the order in which words are prepared for production depends on the speaker's language.
Speakers of German or Dutch select the gender-marked determiner at a relatively early stage of production.
Speakers of French or Italian postpone the encoding of a determiner or adjective until the phonological form of the noun is available.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: It has been proposed that the order in which words are prepared for
production depends on the speaker's language. When producing the translation
equivalent of the small cat, speakers of German or Dutch select the
gender-marked determiner at a relatively early stage of production. Speakers of
French or Italian postpone the encoding of a determiner or adjective until the
phonological form of the noun is available. Hence, even though the words are
produced in the same order (e.g., die kleine Katze in German, le petit chat in
French), they are not planned in the same order and might require different
amounts of advanced planning prior to production onset. This distinction
between early and late selection languages was proposed to account for the
observation that speakers of Germanic and Slavic languages, but not of Romance
languages, are slower to name pictures in the context of a distractor word of a
different gender. Meta-analyses are conducted to provide the first direct test
of this cross-linguistic difference and to test a prediction of the late
selection hypothesis. They confirm the existence of the gender congruency
effect in German/Slavic languages and its absence in Romance languages when
target and distractor words are presented simultaneously. They do not allow
confirming the hypothesis that in the latter languages, a similar effect
emerges when the presentation of the distractor is delayed. Overall, these
analyses confirm the cross-linguistic difference but show that the evidence
available to date is not sufficient to confirm or reject the late selection
hypothesis as an explanation of this difference. We highlight specific
directions for future research.
Related papers
- Is Prosody Lost in Translation? Fine-Grained Cross-Lingual Prosody Similarity Across Languages [14.018902035486375]
We present the first cross-lingual analysis of prosody using multilingual dubbing data across English-German, English-Spanish, and English-French language pairs.<n>Our analysis reveals inherent cross-lingual correlations in prosodic structure between certain languages.
arXiv Detail & Related papers (2026-08-28T02:36:21Z) - Rethinking Cross-lingual Gaps from a Statistical Viewpoint [24.938886584535926]
Large Language Models (LLMs) act as a bridge by acquiring knowledge from a source language and making it accessible when queried from target languages.<n>Prior research has pointed to a cross-lingual gap, viz., a drop in accuracy when the knowledge is queried in a target language compared to when the query is in the source language.<n>We take an alternative view and hypothesize that the variance of responses in the target language is the main cause of this gap.
arXiv Detail & Related papers (2025-10-17T11:34:04Z) - Languages in Multilingual Speech Foundation Models Align Both Phonetically and Semantically [58.019484208091534]
Cross-lingual alignment in pretrained language models (LMs) has enabled efficient transfer in text-based LMs.<n>It remains an open question whether findings and methods from text-based cross-lingual alignment apply to speech.
arXiv Detail & Related papers (2025-05-26T07:21:20Z) - The Lou Dataset -- Exploring the Impact of Gender-Fair Language in German Text Classification [57.06913662622832]
Gender-fair language fosters inclusion by addressing all genders or using neutral forms.
Gender-fair language substantially impacts predictions by flipping labels, reducing certainty, and altering attention patterns.
While we offer initial insights on the effect on German text classification, the findings likely apply to other languages.
arXiv Detail & Related papers (2024-09-26T15:08:17Z) - What an Elegant Bridge: Multilingual LLMs are Biased Similarly in Different Languages [51.0349882045866]
This paper investigates biases of Large Language Models (LLMs) through the lens of grammatical gender.
We prompt a model to describe nouns with adjectives in various languages, focusing specifically on languages with grammatical gender.
We find that a simple classifier can not only predict noun gender above chance but also exhibit cross-language transferability.
arXiv Detail & Related papers (2024-07-12T22:10:16Z) - Does Dependency Locality Predict Non-canonical Word Order in Hindi? [5.540151072128081]
dependency length minimization is a significant predictor of non-canonical (OSV) syntactic choices.
discourse predictability emerges as the primary determinant of constituent-order preferences.
This work sheds light on the role of expectation adaptation in word-ordering decisions.
arXiv Detail & Related papers (2024-05-13T13:24:17Z) - Investigating Markers and Drivers of Gender Bias in Machine Translations [0.0]
Implicit gender bias in large language models (LLMs) is a well-documented problem.
We use the DeepL translation API to investigate the bias evinced when repeatedly translating a set of 56 Software Engineering tasks.
We find that some languages display similar patterns of pronoun use, falling into three loose groups.
We identify the main verb appearing in a sentence as a likely significant driver of implied gender in the translations.
arXiv Detail & Related papers (2024-03-18T15:54:46Z) - The Causal Influence of Grammatical Gender on Distributional Semantics [87.8027818528463]
How much meaning influences gender assignment across languages is an active area of research in linguistics and cognitive science.
We offer a novel, causal graphical model that jointly represents the interactions between a noun's grammatical gender, its meaning, and adjective choice.
When we control for the meaning of the noun, the relationship between grammatical gender and adjective choice is near zero and insignificant.
arXiv Detail & Related papers (2023-11-30T13:58:13Z) - Probabilistic Method of Measuring Linguistic Productivity [0.0]
I propose a new way of measuring linguistic productivity that objectively assesses the ability of an affix to be used to coin new complex words.
token frequency does not dominate the productivity measure but naturally influences the sampling of bases.
A corpus-based approach and randomised design assure that true neologisms and words coined long ago have equal chances to be selected.
arXiv Detail & Related papers (2023-08-24T08:36:28Z) - Reliable Detection and Quantification of Selective Forces in Language
Change [3.55026004901472]
We apply a recently-introduced method to corpus data to quantify the strength of selection in specific instances of historical language change.
We show that this method is more reliable and interpretable than similar methods that have previously been applied.
arXiv Detail & Related papers (2023-05-25T10:20:15Z) - Cross-Linguistic Syntactic Difference in Multilingual BERT: How Good is
It and How Does It Affect Transfer? [50.48082721476612]
Multilingual BERT (mBERT) has demonstrated considerable cross-lingual syntactic ability.
We investigate the distributions of grammatical relations induced from mBERT in the context of 24 typologically different languages.
arXiv Detail & Related papers (2022-12-21T09:44:08Z) - Simultaneous Neural Machine Translation with Constituent Label
Prediction [35.74159659906497]
Simultaneous translation is a task in which translation begins before the speaker has finished speaking.
We propose a couple of simple decision rules using the label of the next constituent predicted by incremental constituent label prediction.
In experiments on English-to-Japanese simultaneous translation, the proposed method outperformed baselines in the quality-latency trade-off.
arXiv Detail & Related papers (2021-10-26T08:23:20Z) - Pick a Fight or Bite your Tongue: Investigation of Gender Differences in
Idiomatic Language Usage [9.892162266128306]
We compile a novel, large and diverse corpus of spontaneous linguistic productions annotated with speakers' gender.
We perform a first large-scale empirical study of distinctions in the usage of textitfigurative language between male and female authors.
arXiv Detail & Related papers (2020-10-31T18:44:07Z) - Investigating Cross-Linguistic Adjective Ordering Tendencies with a
Latent-Variable Model [66.84264870118723]
We present the first purely corpus-driven model of multi-lingual adjective ordering in the form of a latent-variable model.
We provide strong converging evidence for the existence of universal, cross-linguistic, hierarchical adjective ordering tendencies.
arXiv Detail & Related papers (2020-10-09T18:27:55Z) - On the Importance of Word Order Information in Cross-lingual Sequence
Labeling [80.65425412067464]
Cross-lingual models that fit into the word order of the source language might fail to handle target languages.
We investigate whether making models insensitive to the word order of the source language can improve the adaptation performance in target languages.
arXiv Detail & Related papers (2020-01-30T03:35:44Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.