Translation-Service

Analysis of degeneracies in inverse propensity scoring for offline machine translation learning from deterministic logs, with proposed solutions and formal insights.

Binciken aikace-aikacen farko na Fassarar Injin Neural akan harshen Larabci, kwatanta aiki da tsarin tushen jumla da kuma kimanta tasirin gyara kafin aiki.

Binciken amfani da LLMs don fassarar bayanan fassarar ma'ana na Turanci zuwa harsuna daban-daban don horar da masu fassara, wanda ya fi kyau fiye da hanyoyin fassara-turawa a cikin harsuna 50.

Bincike mai zurfi na Fassarar Injin Neural, wanda ya ƙunshi tarihinta, ainihin ra'ayoyin hanyoyin sadarwa na neural, ƙirar harshe, tsarin maɓalli-mai fassara, gyare-gyare, da ƙalubalen gaba.

Bincike kan sabuwar hanyar daidaita yanki bayan horarwa don Fassarar Injin Jijiya (NMT), tare da bincika ƙwarewa ta hankali, sakamakon gwaji, da aikace-aikace na gaba.

Nazarin kalubale da damammaki a cikin horar da masu fassara shari'a, tare da bincika sabbin tsare-tsare, haɗa fasaha, da kuma sauyin matsayin masu fassara a matsayin masu sulhunta al'adu.

Nazarin yadda ka'idojin da'a na ƙwararrun fassara suke aiki a fagen da ba na ƙwararru ba kamar taron jama'a, fassarar masoya, da kuma sa harshe na FOSS, tare da bayyana bambance-bambance da sabbin abubuwa.

Bincike kan ƙarfafa NMT da TM ta hanyar ra'ayi na yiwuwar dawo da bayanai da rarraba bambanci da karkacewa, tare da gabatar da hanyar magance saɓanin aiki a yanayin samun bayanai masu yawa/ƙarancin bayanai.

Bincike kan yadda duniya baki daya da fasaha ke sake fasalin bukatun fassara, inda ake sanya masu fassara a matsayin masu shiga tsakani na al'adu da kayan aiki na dabarun kasuwanci.

Analyzes a variational encoder-decoder model for neural machine translation, which introduces continuous latent variables to explicitly model underlying semantics, thereby improving translation quality.